Project Graph

huggingface/lighteval

A relationship view of alternatives, deployments, compatible protocols, dependencies, use cases, and categories.

Graph Summary

huggingface/lighteval graph connects 3 alternatives, 8 related projects, 1 inferred dependencies, 3 deployment targets, and 3 use cases.

Nodes50
Edges415
Projects37
Dependencies35

Project Context

lighteval

Maintainerhuggingface
LicenseMIT
LanguagePython
Recent activityActive in the last week

Deployment Targets

library_onlylocalcloud

Dependencies

LLM provider

Knowledge Graph

50 nodes / 415 edges

huggingface/light… focus llm eval category library_only deployment local deployment cloud deployment evaluate LLM … use case benchmark pro… use case track model q… use case LLM provider dependency promptfoo project opik project deepeval project Eval project evalscope project AutoRAG project

Migration Paths

What to verify before switching

JSON

These paths are evidence-backed heuristics, not drop-in compatibility claims.

huggingface/lighteval -> promptfoo/promptfooCompatibility: medium / estimated cost: medium.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: Language changes from Python to TypeScript.Validate: Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
huggingface/lighteval -> comet-ml/opikCompatibility: high / estimated cost: medium.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.
huggingface/lighteval -> confident-ai/deepevalCompatibility: high / estimated cost: medium.Shared: category:llm_eval, deployment:library_only, deployment:local, deployment:cloud, use_case:evaluate LLM outputs, use_case:benchmark prompts and agents, use_case:track model quality, dependency:LLM provider.Gaps: License changes from MIT to Apache-2.0.Validate: Review license obligations before migrating production code. Compare API, configuration, license, and dependency requirements. Run the target project's minimal example or test suite. Verify deployment, persistence, and tool-execution behavior in the requested runtime.

Use Cases

evaluate LLM outputsbenchmark prompts and agentstrack model quality

Categories

llm eval

Alternatives

promptfoo/promptfoocomet-ml/opikconfident-ai/deepevalmodelscope/evalscopeEleutherAI/lm-evaluation-harnessGoogleCloudPlatform/evalbench

Related Projects

ai-twinkle/Evalmodelscope/evalscopeMarker-Inc-Korea/AutoRAGEleutherAI/lm-evaluation-harnessagentevals-dev/agentevalsstrands-agents/evals