Comparison
awesome-evals vs lighteval
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick lighteval if lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.
Markdown twin · awesome-evals alternatives · lighteval alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-evals | lighteval |
|---|---|---|
| Maintenance | Active (26d since push) As of 4w · github_public_v1 | Steady (38d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- awesome-evals
- A curated library of resources for building and evaluating AI agents
- lighteval
- All-in-one toolkit for evaluating LLMs across multiple backends
Stars
- awesome-evals
- 761
- lighteval
- 2.5k
Forks
- awesome-evals
- 71
- lighteval
- 523
Open issues
- awesome-evals
- 21
- lighteval
- 366
Language
- awesome-evals
- -
- lighteval
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- lighteval
- Lighteval is designed for evaluating language models across multiple backends. It integrates well with Hugging Face and provides a wide range of extras, making it particularly handy in non-Windows environments.
Persona
- awesome-evals
- -
- lighteval
- -
Runtime
- awesome-evals
- -
- lighteval
- -
License
- awesome-evals
- Other
- lighteval
- MIT
Last pushed
- awesome-evals
- Jul 1, 2026
- lighteval
- Jun 29, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- lighteval
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- lighteval
- Steady (60%)
Days since push
- awesome-evals
- 26d
- lighteval
- 38d
Open issues (now)
- awesome-evals
- 21
- lighteval
- 366
Full report
- awesome-evals
- Trust report
- lighteval
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, lighteval is MIT.
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- Also covers AI Agents.
- Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation
When NOT to use awesome-evals
- Require real-time interactive support or direct tool integrations not covered by a static resource list
- Seeking proprietary tools from specific vendors rather than open resources and community content
Choose lighteval if…
- License: lighteval is MIT, awesome-evals is Other.
- Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface.
- When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.
When NOT to use lighteval
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there.
- Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Jul 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Jul 1, 2026
- License file (Other) · observed Jul 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (huggingface/lighteval) · observed Aug 7, 2026
- GitHub forks (huggingface/lighteval) · observed Aug 7, 2026
- Last push (huggingface/lighteval) · observed Jun 29, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · lighteval 2.5k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and lighteval?
- awesome-evals: A curated library of resources for building and evaluating AI agents. lighteval: All-in-one toolkit for evaluating LLMs across multiple backends. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over lighteval?
- Choose awesome-evals over lighteval when License: awesome-evals is Other, lighteval is MIT; Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Also covers AI Agents; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose lighteval over awesome-evals?
- Choose lighteval over awesome-evals when License: lighteval is MIT, awesome-evals is Other; Tags unique to lighteval: evaluation, evaluation-framework, evaluation-metrics, huggingface; When you need to evaluate the performance of various LLMs on different backend infrastructures, especially if you are working within Mac/Linux environments.
- When should I avoid awesome-evals?
- Require real-time interactive support or direct tool integrations not covered by a static resource list Seeking proprietary tools from specific vendors rather than open resources and community content
- When should I avoid lighteval?
- Avoid Lighteval for evaluations on Windows systems as it is currently untested and not supported there. Should you require a solution that does not integrate with or depend on the Hugging Face ecosystem, Lighteval might not fulfill your needs.
- Is awesome-evals or lighteval more popular on GitHub?
- lighteval has more GitHub stars (2,508 vs 761). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and lighteval open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, lighteval: MIT).
- Where can I find alternatives to awesome-evals or lighteval?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and lighteval alternatives (awesome-evals markdown twin, lighteval markdown twin), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, awesome-evals or lighteval?
- awesome-evals: Active. lighteval: Steady. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for awesome-evals and lighteval?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; lighteval trust report.