Comparison
awesome-evals vs simple-evals
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick simple-evals if simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Markdown twin · awesome-evals alternatives · simple-evals alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-evals | simple-evals |
|---|---|---|
| Maintenance | Active (26d since push) As of 3w · github_public_v1 | Slowing (106d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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
- simple-evals
- A lightweight library for evaluating language models.
Stars
- awesome-evals
- 761
- simple-evals
- 4.6k
Forks
- awesome-evals
- 71
- simple-evals
- 501
Open issues
- awesome-evals
- 21
- simple-evals
- 56
Language
- awesome-evals
- -
- simple-evals
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- simple-evals
- simple-evals provides lightweight tools for evaluating language models using reference implementations from HealthBench, BrowseComp, SimpleQA. Last updates July 2025.
Persona
- awesome-evals
- -
- simple-evals
- -
Runtime
- awesome-evals
- -
- simple-evals
- -
License
- awesome-evals
- Other
- simple-evals
- MIT licensed Python library for transparent language model evaluations with specific benchmark support until July 2025.
Last pushed
- awesome-evals
- Jul 1, 2026
- simple-evals
- Apr 22, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- simple-evals
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- simple-evals
- Slowing (36%)
Days since push
- awesome-evals
- 26d
- simple-evals
- 106d
Open issues (now)
- awesome-evals
- 21
- simple-evals
- 56
Full report
- awesome-evals
- Trust report
- simple-evals
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, simple-evals 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 simple-evals if…
- License: simple-evals is MIT, awesome-evals is Other.
- Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models.
- When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025
When NOT to use simple-evals
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks
- When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
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 (openai/simple-evals) · observed Aug 7, 2026
- GitHub forks (openai/simple-evals) · observed Aug 7, 2026
- Last push (openai/simple-evals) · observed Apr 22, 2026
- License file (MIT) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · simple-evals 4.6k (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and simple-evals?
- awesome-evals: A curated library of resources for building and evaluating AI agents. simple-evals: A lightweight library for evaluating language models.. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over simple-evals?
- Choose awesome-evals over simple-evals when License: awesome-evals is Other, simple-evals 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 simple-evals over awesome-evals?
- Choose simple-evals over awesome-evals when License: simple-evals is MIT, awesome-evals is Other; Tags unique to simple-evals: benchmark, depreciation notice, evaluation, language-models; When you need a stable baseline to evaluate model performance with specific benchmarks like MMLU, HumanEval, and DROP that won't change after July 2025.
- 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 simple-evals?
- For evaluating models released or significantly updated after July 2025, as this tool does not include future benchmarks When you need a tool that will adapt and expand its benchmark set with emerging model releases and evaluation tasks beyond 2025
- Is awesome-evals or simple-evals more popular on GitHub?
- simple-evals has more GitHub stars (4,595 vs 761). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and simple-evals open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, simple-evals: MIT).
- Where can I find alternatives to awesome-evals or simple-evals?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and simple-evals alternatives (awesome-evals markdown twin, simple-evals 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 simple-evals?
- awesome-evals: Active. simple-evals: Slowing. 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 simple-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; simple-evals trust report.