{ "query": { "use_case": "build Cloudflare-ready AI agents", "deployment": "local", "category": "llm_eval" }, "recommendations": [ { "project_id": "comet-ml/opik", "repo": "comet-ml/opik", "name": "opik", "github_url": "https://github.com/comet-ml/opik", "homepage_url": "https://www.comet.com/docs/opik/", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "llm_eval" ], "tags": [ "evaluation", "hacktoberfest", "hacktoberfest2025", "langchain", "llama-index", "llm", "llm-evaluation", "llm-observability", "llmops", "open-source", "openai", "playground", "prompt-engineering" ], "description": "Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.", "overview": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "alternatives": [ { "repo": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "repo": "vibrantlabsai/ragas", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag, workflow overlap." } ], "related": [], "dependencies": [ "Vector database", "LLM provider" ], "deployments": [ "docker", "kubernetes", "library_only", "local", "cloud" ], "difficulty": "intermediate", "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signals": { "stars": 21167, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 90 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 31, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 66, "agent_score": 90, "score": 55, "agent_score_breakdown": { "documentation": 90, "maintenance": 76, "deployment": 100, "popularity": 87, "community": 100 }, "git_top_score": 93, "git_top_score_breakdown": { "community": 100, "maintenance": 84, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 100 }, "summary": { "tl_dr": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "purpose": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "prompts", "model outputs", "test cases" ], "outputs": [ "scores", "benchmarks", "eval reports" ], "good_for": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality", "model evaluation", "benchmarking", "regression testing" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "production inference serving", "end-user chat apps" ], "deployment": [ "docker", "kubernetes", "library_only", "local", "cloud" ], "alternatives": [ { "repo": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "repo": "vibrantlabsai/ragas", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag, workflow overlap." } ] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 31, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Partial or estimated quality signals: commits30d, contributors90d.", "users expecting a complete hosted product" ], "recommendation_reasons": [ "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 66/100, maintenance 76/100." ], "ranking_signals": { "use_case_match": 50, "community": 66, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "confidence_reason": "Medium confidence because the 55/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "last_verified_at": "2026-08-07T03:21:58.100Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Partial or estimated quality signals: commits30d, contributors90d.", "users expecting a complete hosted product" ], "confidence_reason": "Medium confidence because the 55/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "last_verified_at": "2026-08-07T03:21:58.100Z", "reason": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options. Use-case match is 50/100 for \"build Cloudflare-ready AI agents\". It matches the requested local deployment target. It is classified as llm_eval. Ranking signals: community 66/100, maintenance 76/100.", "reasons": [ "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "Use-case match is 50/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 66/100, maintenance 76/100." ], "decision_summary": "comet-ml/opik is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 55/100 with matched constraints, but quality and maturity signals need review.", "fit_profile": { "primary_fit": "Partial use-case overlap for \"build Cloudflare-ready AI agents\"; validate the target workflow.", "deployment_fit": "Matches requested local deployment.", "maturity": "Moderate maturity signal; maintenance is acceptable but compare community adoption.", "agent_readiness": "Agent-readable summary and use cases are available." }, "adoption_plan": [ "Open /projects/comet-ml/opik to verify license, language, classification evidence, and quality signal confidence.", "Inspect /graph/comet-ml/opik for dependencies, related projects, deployment targets, and alternatives.", "Use the matched constraints (deployment, category) as the initial acceptance checklist.", "Prototype the local deployment path before committing to a migration.", "Compare against /alternatives/comet-ml/opik before final selection." ], "risk_flags": [], "tradeoffs": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "next_actions": [ { "label": "Open project knowledge", "href": "/projects/comet-ml/opik", "kind": "project" }, { "label": "Inspect graph", "href": "/graph/comet-ml/opik", "kind": "graph" }, { "label": "Find alternatives", "href": "/alternatives/comet-ml/opik", "kind": "alternatives" }, { "label": "Explain score", "href": "/score/comet-ml/opik", "kind": "score" }, { "label": "Compare shortlist", "href": "/compare/comet-ml/opik", "kind": "compare" } ], "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "ranking_signals": { "use_case_match": 50, "community": 66, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "confidence": "medium", "project": { "id": "comet-ml/opik", "owner": "comet-ml", "name": "opik", "full_name": "comet-ml/opik", "github_url": "https://github.com/comet-ml/opik", "homepage_url": "https://www.comet.com/docs/opik/", "description": "Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.", "language": "Python", "topics": [ "evaluation", "hacktoberfest", "hacktoberfest2025", "langchain", "llama-index", "llm", "llm-evaluation", "llm-observability", "llmops", "open-source", "openai", "playground", "prompt-engineering" ], "license": "Apache-2.0", "stars": 21167, "forks": 1679, "open_issues": 174, "default_branch": "main", "created_at": "2023-05-10T12:57:13Z", "updated_at": "2026-08-07T03:07:05Z", "pushed_at": "2026-08-07T01:35:26Z", "synced_at": "2026-08-07T03:21:58.100Z" }, "agent_card": { "project_id": "comet-ml/opik", "project_kind": "project", "category": "llm_eval", "difficulty": "intermediate", "deployment": [ "docker", "kubernetes", "library_only", "local", "cloud" ], "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "alternatives": [ { "project_id": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "vibrantlabsai/ragas", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag, workflow overlap." } ], "summary_for_agent": "Use comet-ml/opik when the user needs a llm eval project with docker, kubernetes, library-only deployment options.", "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "schema_version": "v1", "generated_at": "2026-08-07T03:21:58.100Z" }, "metrics": { "project_id": "comet-ml/opik", "stars_30d_delta": 810, "commits_30d": 100, "releases_180d": 90, "contributors_90d": 100, "issue_first_response_median_hours": null, "recent_push_days": 0, "git_score": 66, "maintenance_score": 76, "signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 31, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "calculated_at": "2026-08-07T03:21:58.100Z" } }, { "project_id": "promptfoo/promptfoo", "repo": "promptfoo/promptfoo", "name": "promptfoo", "github_url": "https://github.com/promptfoo/promptfoo", "homepage_url": "https://promptfoo.dev", "language": "TypeScript", "license": "MIT", "project_kind": "project", "category": [ "llm_eval" ], "tags": [ "ci", "ci-cd", "cicd", "evaluation", "evaluation-framework", "llm", "llm-eval", "llm-evaluation", "llm-evaluation-framework", "llmops", "pentesting", "prompt-engineering", "prompt-testing", "prompts", "rag", "red-teaming", "testing", "vulnerability-scanners" ], "description": "Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.", "overview": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "alternatives": [ { "repo": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "repo": "promptfoo/promptfoo-action", "reason": "Same llm eval intent with rag overlap." } ], "related": [], "dependencies": [ "Vector database", "LLM provider" ], "deployments": [ "docker", "library_only", "local", "cloud" ], "difficulty": "intermediate", "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"pip install\" in repository content.", "Matched \"npm install\" in repository content.", "Matched \"library\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signals": { "stars": 24023, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 30 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 34, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 75, "agent_score": 88, "score": 47, "agent_score_breakdown": { "documentation": 90, "maintenance": 76, "deployment": 90, "popularity": 88, "community": 100 }, "git_top_score": 93, "git_top_score_breakdown": { "community": 100, "maintenance": 84, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 100 }, "summary": { "tl_dr": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "purpose": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "prompts", "model outputs", "test cases" ], "outputs": [ "scores", "benchmarks", "eval reports" ], "good_for": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality", "model evaluation", "benchmarking", "regression testing" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "production inference serving", "end-user chat apps" ], "deployment": [ "docker", "library_only", "local", "cloud" ], "alternatives": [ { "repo": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "repo": "promptfoo/promptfoo-action", "reason": "Same llm eval intent with rag overlap." } ] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"pip install\" in repository content.", "Matched \"npm install\" in repository content.", "Matched \"library\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 34, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Partial or estimated quality signals: commits30d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "recommendation_reasons": [ "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 75/100, maintenance 76/100." ], "ranking_signals": { "use_case_match": 25, "community": 75, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "confidence_reason": "Medium confidence because the 47/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "last_verified_at": "2026-08-07T03:21:56.936Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Partial or estimated quality signals: commits30d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "confidence_reason": "Medium confidence because the 47/100 recommendation is usable but quality or maturity evidence should be reviewed; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "last_verified_at": "2026-08-07T03:21:56.936Z", "reason": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options. Use-case match is 25/100 for \"build Cloudflare-ready AI agents\". It matches the requested local deployment target. It is classified as llm_eval. Ranking signals: community 75/100, maintenance 76/100.", "reasons": [ "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 75/100, maintenance 76/100." ], "decision_summary": "promptfoo/promptfoo is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 47/100 with matched constraints, but quality and maturity signals need review.", "fit_profile": { "primary_fit": "Weak indexed use-case overlap for \"build Cloudflare-ready AI agents\"; inspect graph and README evidence.", "deployment_fit": "Matches requested local deployment.", "maturity": "High maturity signal from community and maintenance scores.", "agent_readiness": "Agent-readable summary and use cases are available." }, "adoption_plan": [ "Open /projects/promptfoo/promptfoo to verify license, language, classification evidence, and quality signal confidence.", "Inspect /graph/promptfoo/promptfoo for dependencies, related projects, deployment targets, and alternatives.", "Use the matched constraints (deployment, category) as the initial acceptance checklist.", "Prototype the local deployment path before committing to a migration.", "Compare against /alternatives/promptfoo/promptfoo before final selection." ], "risk_flags": [ "Use-case overlap is weak in indexed text." ], "tradeoffs": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "next_actions": [ { "label": "Open project knowledge", "href": "/projects/promptfoo/promptfoo", "kind": "project" }, { "label": "Inspect graph", "href": "/graph/promptfoo/promptfoo", "kind": "graph" }, { "label": "Find alternatives", "href": "/alternatives/promptfoo/promptfoo", "kind": "alternatives" }, { "label": "Explain score", "href": "/score/promptfoo/promptfoo", "kind": "score" }, { "label": "Compare shortlist", "href": "/compare/promptfoo/promptfoo", "kind": "compare" } ], "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "ranking_signals": { "use_case_match": 25, "community": 75, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "confidence": "medium", "project": { "id": "promptfoo/promptfoo", "owner": "promptfoo", "name": "promptfoo", "full_name": "promptfoo/promptfoo", "github_url": "https://github.com/promptfoo/promptfoo", "homepage_url": "https://promptfoo.dev", "description": "Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, DeepSeek, and more. Simple declarative configs with command line and CI/CD integration. Used by OpenAI and Anthropic.", "language": "TypeScript", "topics": [ "ci", "ci-cd", "cicd", "evaluation", "evaluation-framework", "llm", "llm-eval", "llm-evaluation", "llm-evaluation-framework", "llmops", "pentesting", "prompt-engineering", "prompt-testing", "prompts", "rag", "red-teaming", "testing", "vulnerability-scanners" ], "license": "MIT", "stars": 24023, "forks": 2165, "open_issues": 490, "default_branch": "main", "created_at": "2023-04-28T15:48:49Z", "updated_at": "2026-08-07T02:52:01Z", "pushed_at": "2026-08-07T00:03:59Z", "synced_at": "2026-08-07T03:21:56.936Z" }, "agent_card": { "project_id": "promptfoo/promptfoo", "project_kind": "project", "category": "llm_eval", "difficulty": "intermediate", "deployment": [ "docker", "library_only", "local", "cloud" ], "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "alternatives": [ { "project_id": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "Giskard-AI/giskard-oss", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "promptfoo/promptfoo-action", "reason": "Same llm eval intent with rag overlap." } ], "summary_for_agent": "Use promptfoo/promptfoo when the user needs a llm eval project with docker, library-only, local deployment options.", "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"pip install\" in repository content.", "Matched \"npm install\" in repository content.", "Matched \"library\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "schema_version": "v1", "generated_at": "2026-08-07T03:21:56.936Z" }, "metrics": { "project_id": "promptfoo/promptfoo", "stars_30d_delta": 1152, "commits_30d": 100, "releases_180d": 30, "contributors_90d": 100, "issue_first_response_median_hours": null, "recent_push_days": 0, "git_score": 75, "maintenance_score": 76, "signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 34, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "calculated_at": "2026-08-07T03:21:56.936Z" } }, { "project_id": "Arize-ai/phoenix", "repo": "Arize-ai/phoenix", "name": "phoenix", "github_url": "https://github.com/Arize-ai/phoenix", "homepage_url": "https://arize.com/docs/phoenix", "language": "Python", "license": "NOASSERTION", "project_kind": "project", "category": [ "llm_eval" ], "tags": [ "agents", "ai-monitoring", "ai-observability", "aiengineering", "anthropic", "datasets", "evals", "langchain", "llamaindex", "llm-eval", "llm-evaluation", "llmops", "llms", "openai", "prompt-engineering", "smolagents" ], "description": "AI Observability & Evaluation", "overview": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "alternatives": [ { "repo": "comet-ml/opik", "reason": "Same llm eval intent with observability overlap." }, { "repo": "truera/trulens", "reason": "Same llm eval intent with observability overlap." }, { "repo": "raga-ai-hub/RagaAI-Catalyst", "reason": "Same llm eval intent with observability overlap." } ], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "docker", "vercel", "serverless", "kubernetes", "library_only", "local" ], "difficulty": "advanced", "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"vercel\" in repository content.", "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Found multi-service or orchestration configuration files." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signals": { "stars": 10868, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 100 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 33, "commits_30d": "partial", "releases_180d": "partial", "contributors_90d": "partial" }, "quality_score": 58, "agent_score": 89, "score": 43, "agent_score_breakdown": { "documentation": 90, "maintenance": 76, "deployment": 100, "popularity": 81, "community": 100 }, "git_top_score": 93, "git_top_score_breakdown": { "community": 100, "maintenance": 84, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 100 }, "summary": { "tl_dr": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "purpose": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "prompts", "model outputs", "test cases" ], "outputs": [ "scores", "benchmarks", "eval reports" ], "good_for": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality", "model evaluation", "benchmarking", "regression testing" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "production inference serving", "end-user chat apps" ], "deployment": [ "docker", "vercel", "serverless", "kubernetes", "library_only", "local" ], "alternatives": [ { "repo": "comet-ml/opik", "reason": "Same llm eval intent with observability overlap." }, { "repo": "truera/trulens", "reason": "Same llm eval intent with observability overlap." }, { "repo": "raga-ai-hub/RagaAI-Catalyst", "reason": "Same llm eval intent with observability overlap." } ] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"vercel\" in repository content.", "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Found multi-service or orchestration configuration files." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 33, "commits_30d": "partial", "releases_180d": "partial", "contributors_90d": "partial" }, "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Partial or estimated quality signals: commits30d, releases180d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "recommendation_reasons": [ "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 58/100, maintenance 76/100." ], "ranking_signals": { "use_case_match": 25, "community": 58, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "confidence_reason": "Low confidence because the recommendation score is 43/100, use-case match is 25/100, or constraints are weakly matched; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "last_verified_at": "2026-08-03T14:30:24.996Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Partial or estimated quality signals: commits30d, releases180d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "confidence_reason": "Low confidence because the recommendation score is 43/100, use-case match is 25/100, or constraints are weakly matched; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "last_verified_at": "2026-08-03T14:30:24.996Z", "reason": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options. Use-case match is 25/100 for \"build Cloudflare-ready AI agents\". It matches the requested local deployment target. It is classified as llm_eval. Ranking signals: community 58/100, maintenance 76/100.", "reasons": [ "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 58/100, maintenance 76/100." ], "decision_summary": "Arize-ai/phoenix is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 43/100 with matched constraints, but quality and maturity signals need review.", "fit_profile": { "primary_fit": "Weak indexed use-case overlap for \"build Cloudflare-ready AI agents\"; inspect graph and README evidence.", "deployment_fit": "Matches requested local deployment.", "maturity": "Moderate maturity signal; maintenance is acceptable but compare community adoption.", "agent_readiness": "Agent-readable summary and use cases are available." }, "adoption_plan": [ "Open /projects/Arize-ai/phoenix to verify license, language, classification evidence, and quality signal confidence.", "Inspect /graph/Arize-ai/phoenix for dependencies, related projects, deployment targets, and alternatives.", "Use the matched constraints (deployment, category) as the initial acceptance checklist.", "Prototype the local deployment path before committing to a migration.", "Compare against /alternatives/Arize-ai/phoenix before final selection." ], "risk_flags": [ "Low recommendation confidence; use as a discovery lead, not a final choice.", "Use-case overlap is weak in indexed text." ], "tradeoffs": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "next_actions": [ { "label": "Open project knowledge", "href": "/projects/Arize-ai/phoenix", "kind": "project" }, { "label": "Inspect graph", "href": "/graph/Arize-ai/phoenix", "kind": "graph" }, { "label": "Find alternatives", "href": "/alternatives/Arize-ai/phoenix", "kind": "alternatives" }, { "label": "Explain score", "href": "/score/Arize-ai/phoenix", "kind": "score" }, { "label": "Compare shortlist", "href": "/compare/Arize-ai/phoenix", "kind": "compare" } ], "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "ranking_signals": { "use_case_match": 25, "community": 58, "maintenance": 76, "readiness": 60, "license_fit": 0 }, "confidence": "low", "project": { "id": "Arize-ai/phoenix", "owner": "Arize-ai", "name": "phoenix", "full_name": "Arize-ai/phoenix", "github_url": "https://github.com/Arize-ai/phoenix", "homepage_url": "https://arize.com/docs/phoenix", "description": "AI Observability & Evaluation", "language": "Python", "topics": [ "agents", "ai-monitoring", "ai-observability", "aiengineering", "anthropic", "datasets", "evals", "langchain", "llamaindex", "llm-eval", "llm-evaluation", "llmops", "llms", "openai", "prompt-engineering", "smolagents" ], "license": "NOASSERTION", "stars": 10868, "forks": 1033, "open_issues": 843, "default_branch": "main", "created_at": "2022-11-09T23:44:35Z", "updated_at": "2026-08-03T14:27:42Z", "pushed_at": "2026-08-03T14:00:24Z", "synced_at": "2026-08-03T14:30:24.996Z" }, "agent_card": { "project_id": "Arize-ai/phoenix", "project_kind": "project", "category": "llm_eval", "difficulty": "advanced", "deployment": [ "docker", "vercel", "serverless", "kubernetes", "library_only", "local" ], "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "alternatives": [ { "project_id": "comet-ml/opik", "reason": "Same llm eval intent with observability overlap." }, { "project_id": "truera/trulens", "reason": "Same llm eval intent with observability overlap." }, { "project_id": "raga-ai-hub/RagaAI-Catalyst", "reason": "Same llm eval intent with observability overlap." } ], "summary_for_agent": "Use Arize-ai/phoenix when the user needs a llm eval project with docker, vercel, serverless deployment options.", "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Found Docker configuration file.", "Matched \"vercel\" in repository content.", "Matched \"kubernetes\" in repository content.", "Matched \"helm chart\" in repository content.", "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Found multi-service or orchestration configuration files." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "schema_version": "v1", "generated_at": "2026-08-03T14:30:24.996Z" }, "metrics": { "project_id": "Arize-ai/phoenix", "stars_30d_delta": 524, "commits_30d": 100, "releases_180d": 100, "contributors_90d": 100, "issue_first_response_median_hours": null, "recent_push_days": 0, "git_score": 58, "maintenance_score": 76, "signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 33, "commits_30d": "partial", "releases_180d": "partial", "contributors_90d": "partial" }, "calculated_at": "2026-08-03T14:30:24.996Z" } }, { "project_id": "confident-ai/deepeval", "repo": "confident-ai/deepeval", "name": "deepeval", "github_url": "https://github.com/confident-ai/deepeval", "homepage_url": "https://deepeval.com", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "llm_eval" ], "tags": [ "evaluation-framework", "evaluation-metrics", "llm-evaluation", "llm-evaluation-framework", "llm-evaluation-metrics", "python" ], "description": "The LLM Evaluation Framework", "overview": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "alternatives": [ { "repo": "promptfoo/promptfoo", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "repo": "comet-ml/opik", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "repo": "Arize-ai/phoenix", "reason": "Similar llm eval with library_only/local deployment overlap." } ], "related": [], "dependencies": [ "LLM provider" ], "deployments": [ "library_only", "local", "cloud" ], "difficulty": "intermediate", "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signals": { "stars": 17360, "recent_commits": 100, "contributors": 100, "issue_response_time_hours": null, "release_frequency_180d": 5 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "quality_score": 56, "agent_score": 82, "score": 39, "agent_score_breakdown": { "documentation": 90, "maintenance": 62, "deployment": 80, "popularity": 85, "community": 100 }, "git_top_score": 90, "git_top_score_breakdown": { "community": 100, "maintenance": 72, "documentation": 84, "stability": 90, "adoption": 100, "agent_readability": 100 }, "summary": { "tl_dr": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "purpose": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "install": "Install as a library or package using the repository instructions.", "inputs": [ "prompts", "model outputs", "test cases" ], "outputs": [ "scores", "benchmarks", "eval reports" ], "good_for": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality", "model evaluation", "benchmarking", "regression testing" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "production inference serving", "end-user chat apps" ], "deployment": [ "library_only", "local", "cloud" ], "alternatives": [ { "repo": "promptfoo/promptfoo", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "repo": "comet-ml/opik", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "repo": "Arize-ai/phoenix", "reason": "Similar llm eval with library_only/local deployment overlap." } ] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Partial or estimated quality signals: commits30d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "recommendation_reasons": [ "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 56/100, maintenance 62/100." ], "ranking_signals": { "use_case_match": 25, "community": 56, "maintenance": 62, "readiness": 60, "license_fit": 0 }, "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "confidence_reason": "Low confidence because the recommendation score is 39/100, use-case match is 25/100, or constraints are weakly matched; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "last_verified_at": "2026-08-03T12:30:13.745Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Partial or estimated quality signals: commits30d, contributors90d.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "confidence_reason": "Low confidence because the recommendation score is 39/100, use-case match is 25/100, or constraints are weakly matched; Evidence is usable for comparison, but agents should cite caveats before making a strong recommendation.", "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "last_verified_at": "2026-08-03T12:30:13.745Z", "reason": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options. Use-case match is 25/100 for \"build Cloudflare-ready AI agents\". It matches the requested local deployment target. It is classified as llm_eval. Ranking signals: community 56/100, maintenance 62/100.", "reasons": [ "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 56/100, maintenance 62/100." ], "decision_summary": "confident-ai/deepeval is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 39/100 with matched constraints, but quality and maturity signals need review.", "fit_profile": { "primary_fit": "Weak indexed use-case overlap for \"build Cloudflare-ready AI agents\"; inspect graph and README evidence.", "deployment_fit": "Matches requested local deployment.", "maturity": "Moderate maturity signal; maintenance is acceptable but compare community adoption.", "agent_readiness": "Agent-readable summary and use cases are available." }, "adoption_plan": [ "Open /projects/confident-ai/deepeval to verify license, language, classification evidence, and quality signal confidence.", "Inspect /graph/confident-ai/deepeval for dependencies, related projects, deployment targets, and alternatives.", "Use the matched constraints (deployment, category) as the initial acceptance checklist.", "Prototype the local deployment path before committing to a migration.", "Compare against /alternatives/confident-ai/deepeval before final selection." ], "risk_flags": [ "Low recommendation confidence; use as a discovery lead, not a final choice.", "Use-case overlap is weak in indexed text." ], "tradeoffs": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "next_actions": [ { "label": "Open project knowledge", "href": "/projects/confident-ai/deepeval", "kind": "project" }, { "label": "Inspect graph", "href": "/graph/confident-ai/deepeval", "kind": "graph" }, { "label": "Find alternatives", "href": "/alternatives/confident-ai/deepeval", "kind": "alternatives" }, { "label": "Explain score", "href": "/score/confident-ai/deepeval", "kind": "score" }, { "label": "Compare shortlist", "href": "/compare/confident-ai/deepeval", "kind": "compare" } ], "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "ranking_signals": { "use_case_match": 25, "community": 56, "maintenance": 62, "readiness": 60, "license_fit": 0 }, "confidence": "low", "project": { "id": "confident-ai/deepeval", "owner": "confident-ai", "name": "deepeval", "full_name": "confident-ai/deepeval", "github_url": "https://github.com/confident-ai/deepeval", "homepage_url": "https://deepeval.com", "description": "The LLM Evaluation Framework", "language": "Python", "topics": [ "evaluation-framework", "evaluation-metrics", "llm-evaluation", "llm-evaluation-framework", "llm-evaluation-metrics", "python" ], "license": "Apache-2.0", "stars": 17360, "forks": 1749, "open_issues": 418, "default_branch": "main", "created_at": "2023-08-10T05:35:04Z", "updated_at": "2026-08-03T12:26:42Z", "pushed_at": "2026-08-03T09:11:41Z", "synced_at": "2026-08-03T12:30:13.745Z" }, "agent_card": { "project_id": "confident-ai/deepeval", "project_kind": "project", "category": "llm_eval", "difficulty": "intermediate", "deployment": [ "library_only", "local", "cloud" ], "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "alternatives": [ { "project_id": "promptfoo/promptfoo", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "project_id": "comet-ml/opik", "reason": "Similar llm eval with library_only/local deployment overlap." }, { "project_id": "Arize-ai/phoenix", "reason": "Similar llm eval with library_only/local deployment overlap." } ], "summary_for_agent": "Use confident-ai/deepeval when the user needs a llm eval project with library-only, local, cloud deployment options.", "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "No strong beginner or advanced signal found; defaulting to intermediate." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "schema_version": "v1", "generated_at": "2026-08-03T12:30:13.745Z" }, "metrics": { "project_id": "confident-ai/deepeval", "stars_30d_delta": 776, "commits_30d": 100, "releases_180d": 5, "contributors_90d": 100, "issue_first_response_median_hours": null, "recent_push_days": 0, "git_score": 56, "maintenance_score": 62, "signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "partial", "releases_180d": "complete", "contributors_90d": "partial" }, "calculated_at": "2026-08-03T12:30:13.745Z" } }, { "project_id": "modelscope/evalscope", "repo": "modelscope/evalscope", "name": "evalscope", "github_url": "https://github.com/modelscope/evalscope", "homepage_url": "https://evalscope.readthedocs.io/en/latest/", "language": "Python", "license": "Apache-2.0", "project_kind": "project", "category": [ "llm_eval" ], "tags": [ "evaluation", "llm", "performance", "rag", "vlm" ], "description": "A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.", "overview": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "alternatives": [ { "repo": "promptfoo/promptfoo", "reason": "Same llm eval intent with rag overlap." }, { "repo": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag overlap." } ], "related": [], "dependencies": [ "Vector database", "LLM provider" ], "deployments": [ "docker", "library_only", "local", "cloud" ], "difficulty": "beginner", "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata.", "Matched \"benchmark\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Repository has under 10k stars, so complexity is treated conservatively." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python, gpu.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signals": { "stars": 3179, "recent_commits": 60, "contributors": 82, "issue_response_time_hours": null, "release_frequency_180d": 11 }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "complete" }, "quality_score": 43, "agent_score": 83, "score": 37, "agent_score_breakdown": { "documentation": 90, "maintenance": 68, "deployment": 90, "popularity": 70, "community": 100 }, "git_top_score": 93, "git_top_score_breakdown": { "community": 100, "maintenance": 78, "documentation": 84, "stability": 100, "adoption": 100, "agent_readability": 100 }, "summary": { "tl_dr": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "purpose": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "install": "Run with Docker using the repository's container instructions.", "inputs": [ "prompts", "model outputs", "test cases" ], "outputs": [ "scores", "benchmarks", "eval reports" ], "good_for": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality", "model evaluation", "benchmarking", "regression testing" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product", "production inference serving", "end-user chat apps" ], "deployment": [ "docker", "library_only", "local", "cloud" ], "alternatives": [ { "repo": "promptfoo/promptfoo", "reason": "Same llm eval intent with rag overlap." }, { "repo": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "repo": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag overlap." } ] }, "evidence": { "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata.", "Matched \"benchmark\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Repository has under 10k stars, so complexity is treated conservatively." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python, gpu.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "quality_signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "complete" }, "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "recommendation_reasons": [ "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 43/100, maintenance 68/100." ], "ranking_signals": { "use_case_match": 25, "community": 43, "maintenance": 68, "readiness": 60, "license_fit": 0 }, "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "confidence_reason": "Low confidence because the recommendation score is 37/100, use-case match is 25/100, or constraints are weakly matched; Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "last_verified_at": "2026-08-03T05:00:26.547Z" }, "caveats": [ "edge-only Cloudflare Workers deployment without adaptation", "Low recommendation confidence; use as a discovery lead, not a final choice.", "Use-case overlap is weak in indexed text.", "users expecting a complete hosted product" ], "confidence_reason": "Low confidence because the recommendation score is 37/100, use-case match is 25/100, or constraints are weakly matched; Classification evidence and quality signals are strong enough for shortlist reasoning when metadata is current.", "source_fields": [ "agent_card.classification", "agent_card.deployment", "agent_card.summary_for_agent", "agent_card.use_cases", "metrics", "project.description", "project.language", "project.license", "project.topics", "recommendation.constraints", "recommendation.query", "recommendation.ranking_signals" ], "last_verified_at": "2026-08-03T05:00:26.547Z", "reason": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options. Use-case match is 25/100 for \"build Cloudflare-ready AI agents\". It matches the requested local deployment target. It is classified as llm_eval. Ranking signals: community 43/100, maintenance 68/100.", "reasons": [ "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "Use-case match is 25/100 for \"build Cloudflare-ready AI agents\".", "It matches the requested local deployment target.", "It is classified as llm_eval.", "Ranking signals: community 43/100, maintenance 68/100." ], "decision_summary": "modelscope/evalscope is an exploration candidate for \"build Cloudflare-ready AI agents\": recommendation score 37/100 with matched constraints, but quality and maturity signals need review.", "fit_profile": { "primary_fit": "Weak indexed use-case overlap for \"build Cloudflare-ready AI agents\"; inspect graph and README evidence.", "deployment_fit": "Matches requested local deployment.", "maturity": "Moderate maturity signal; maintenance is acceptable but compare community adoption.", "agent_readiness": "Agent-readable summary and use cases are available." }, "adoption_plan": [ "Open /projects/modelscope/evalscope to verify license, language, classification evidence, and quality signal confidence.", "Inspect /graph/modelscope/evalscope for dependencies, related projects, deployment targets, and alternatives.", "Use the matched constraints (deployment, category) as the initial acceptance checklist.", "Prototype the local deployment path before committing to a migration.", "Compare against /alternatives/modelscope/evalscope before final selection." ], "risk_flags": [ "Low recommendation confidence; use as a discovery lead, not a final choice.", "Use-case overlap is weak in indexed text." ], "tradeoffs": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "next_actions": [ { "label": "Open project knowledge", "href": "/projects/modelscope/evalscope", "kind": "project" }, { "label": "Inspect graph", "href": "/graph/modelscope/evalscope", "kind": "graph" }, { "label": "Find alternatives", "href": "/alternatives/modelscope/evalscope", "kind": "alternatives" }, { "label": "Explain score", "href": "/score/modelscope/evalscope", "kind": "score" }, { "label": "Compare shortlist", "href": "/compare/modelscope/evalscope", "kind": "compare" } ], "matched_constraints": { "deployment": "local", "category": "llm_eval" }, "unmatched_constraints": {}, "ranking_signals": { "use_case_match": 25, "community": 43, "maintenance": 68, "readiness": 60, "license_fit": 0 }, "confidence": "low", "project": { "id": "modelscope/evalscope", "owner": "modelscope", "name": "evalscope", "full_name": "modelscope/evalscope", "github_url": "https://github.com/modelscope/evalscope", "homepage_url": "https://evalscope.readthedocs.io/en/latest/", "description": "A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.", "language": "Python", "topics": [ "evaluation", "llm", "performance", "rag", "vlm" ], "license": "Apache-2.0", "stars": 3179, "forks": 438, "open_issues": 32, "default_branch": "main", "created_at": "2023-12-07T06:10:49Z", "updated_at": "2026-08-03T03:52:43Z", "pushed_at": "2026-08-03T04:39:49Z", "synced_at": "2026-08-03T05:00:26.547Z" }, "agent_card": { "project_id": "modelscope/evalscope", "project_kind": "project", "category": "llm_eval", "difficulty": "beginner", "deployment": [ "docker", "library_only", "local", "cloud" ], "cloudflare_ready": false, "use_cases": [ "evaluate LLM outputs", "benchmark prompts and agents", "track model quality" ], "not_good_for": [ "edge-only Cloudflare Workers deployment without adaptation", "users expecting a complete hosted product" ], "alternatives": [ { "project_id": "promptfoo/promptfoo", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "comet-ml/opik", "reason": "Same llm eval intent with rag overlap." }, { "project_id": "Marker-Inc-Korea/AutoRAG", "reason": "Same llm eval intent with rag overlap." } ], "summary_for_agent": "Use modelscope/evalscope when the user needs a llm eval project with docker, library-only, local deployment options.", "classification": { "category": { "confidence": "high", "evidence": [ "Matched \"eval\" in metadata.", "Matched \"evaluation\" in metadata.", "Matched \"benchmark\" in metadata." ] }, "deployment": { "confidence": "high", "evidence": [ "Matched \"pip install\" in repository content.", "Local usage is assumed for open source repositories unless contradicted." ] }, "difficulty": { "confidence": "medium", "evidence": [ "Repository has under 10k stars, so complexity is treated conservatively." ] }, "cloudflare_ready": { "confidence": "high", "evidence": [ "Runtime blocker: python, gpu.", "No Cloudflare deployment signal detected.", "No wrangler.toml found in inspected repository files." ] } }, "schema_version": "v1", "generated_at": "2026-08-03T05:00:26.547Z" }, "metrics": { "project_id": "modelscope/evalscope", "stars_30d_delta": 165, "commits_30d": 60, "releases_180d": 11, "contributors_90d": 82, "issue_first_response_median_hours": null, "recent_push_days": 0, "git_score": 43, "maintenance_score": 68, "signal_confidence": { "stars_30d_delta": "snapshot", "stars30d_window_days": 32, "commits_30d": "complete", "releases_180d": "complete", "contributors_90d": "complete" }, "calculated_at": "2026-08-03T05:00:26.547Z" } } ], "metadata": { "source": "d1", "reason": "d1_query", "project_count": 1057, "generated_at": "2026-08-08T05:20:07.981Z", "snapshot_id": "d1:1057:2026-08-08T03:00:56.042Z", "latest_synced_at": "2026-08-08T03:00:56.042Z", "schema_version": "git-top.knowledge.v1", "loaded_project_limit": 2000, "truncated": false } }