Comparison
awesome-evals vs myclaw-bench
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick myclaw-bench if myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Markdown twin · awesome-evals alternatives · myclaw-bench alternatives
GraphCanon updated Sep 20, 2026
7views this month
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Trust & integrity
| Signal | awesome-evals | myclaw-bench |
|---|---|---|
| Maintenance | Very active (4d since push) As of Sep 20, 2026 · github_public_v1 | Steady (61d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · 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
- myclaw-bench
- Benchmark for AI agents on OpenClaw
Stars
- awesome-evals
- 901
- myclaw-bench
- 223
Forks
- awesome-evals
- 104
- myclaw-bench
- 36
Open issues
- awesome-evals
- 34
- myclaw-bench
- 2
Language
- awesome-evals
- -
- myclaw-bench
- Python
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- myclaw-bench
- myclaw-bench is a benchmark suite comprising 45 tasks across four tiers designed for evaluating AI agents within the OpenClaw platform.
Persona
- awesome-evals
- -
- myclaw-bench
- -
Runtime
- awesome-evals
- -
- myclaw-bench
- -
License
- awesome-evals
- Other
- myclaw-bench
- MIT
Last pushed
- awesome-evals
- Sep 15, 2026
- myclaw-bench
- Jul 20, 2026
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- myclaw-bench
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Very active (96%)
- myclaw-bench
- Steady (60%)
Days since push
- awesome-evals
- 4d
- myclaw-bench
- 61d
Open issues (now)
- awesome-evals
- 34
- myclaw-bench
- 2
Stars delta
- awesome-evals
- +140 (30d)
- myclaw-bench
- -4 (30d)
Open issues delta
- awesome-evals
- +13 (30d)
- myclaw-bench
- 0 (30d)
Owner type
- awesome-evals
- Organization
- myclaw-bench
- User
Full report
- awesome-evals
- Trust report
- myclaw-bench
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, myclaw-bench is MIT.
- Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks.
- 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 myclaw-bench if…
- License: myclaw-bench is MIT, awesome-evals is Other.
- Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management..
- Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw.
- Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
When NOT to use myclaw-bench
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework.
- Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
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 Sep 20, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Sep 20, 2026
- Last push (benchflow-ai/awesome-evals) · observed Sep 15, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- GitHub forks (LeoYeAI/myclaw-bench) · observed Sep 20, 2026
- Last push (LeoYeAI/myclaw-bench) · observed Jul 20, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 901 · myclaw-bench 223 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-evals and myclaw-bench?
- awesome-evals: A curated library of resources for building and evaluating AI agents. myclaw-bench: Benchmark for AI agents on OpenClaw. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over myclaw-bench?
- Choose awesome-evals over myclaw-bench when License: awesome-evals is Other, myclaw-bench is MIT; Tags unique to awesome-evals: agent-evaluation, ai-agents, awesome-list, benchmarks; Need diverse resources encompassing papers, blogs, talks, tools, and benchmarks specifically curated for AI agent evaluation.
- When should I choose myclaw-bench over awesome-evals?
- Choose myclaw-bench over awesome-evals when License: myclaw-bench is MIT, awesome-evals is Other; Requirements: Requires Python version 3.10 or higher to execute the benchmark tasks.; Necessitates installation of the 'uv' package manager from Astral for dependencies management.; Tags unique to myclaw-bench: ai-agent-evaluation, benchmarking-tools, openclaw; Use myclaw-bench if you are developing AI agents specifically for deployment on the OpenClaw platform, as it offers a precise evaluation tailored to this ecosystem.
- 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 myclaw-bench?
- Avoid using myclaw-bench if your AI agents will not be deployed on the OpenClaw platform, as its benchmarks are specifically designed to test within this framework. Do not use if you require synthetic tests for controlling variables in a highly abstracted scenario, since myclaw-bench exclusively leverages real agent session data.
- Is awesome-evals or myclaw-bench more popular on GitHub?
- awesome-evals has more GitHub stars (901 vs 223). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and myclaw-bench open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, myclaw-bench: MIT).
- Where can I find alternatives to awesome-evals or myclaw-bench?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and myclaw-bench alternatives (awesome-evals markdown twin, myclaw-bench 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 myclaw-bench?
- awesome-evals: Very active. myclaw-bench: 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 myclaw-bench?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; myclaw-bench trust report.