Comparison
awesome-evals vs sad
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick sad if situational Awareness Dataset is a resource for llm-evaluation and ml topics under CC-BY-4.0 license.
Markdown twin · awesome-evals alternatives · sad alternatives
GraphCanon updated Sep 10, 2026
15views this month
vs
Trust & integrity
| Signal | awesome-evals | sad |
|---|---|---|
| Maintenance | Active (7d since push) As of Aug 28, 2026 · github_public_v1 | Dormant (634d since push) As of Sep 10, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Aug 28, 2026 · github_public_v1 | Not a fork · Personal account As of Sep 10, 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 15, 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
- sad
- Situational Awareness Dataset
Stars
- awesome-evals
- 847
- sad
- 55
Forks
- awesome-evals
- 89
- sad
- 8
Open issues
- awesome-evals
- 17
- sad
- 5
Language
- awesome-evals
- -
- sad
- HTML
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- sad
- Situational Awareness Dataset is a resource for llm-evaluation and ml topics under CC-BY-4.0 license.
Persona
- awesome-evals
- -
- sad
- -
Runtime
- awesome-evals
- -
- sad
- -
License
- awesome-evals
- Other
- sad
- CC-BY-4.0
Last pushed
- awesome-evals
- Aug 20, 2026
- sad
- Dec 14, 2024
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- sad
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- sad
- Dormant (18%)
Days since push
- awesome-evals
- 7d
- sad
- 634d
Open issues (now)
- awesome-evals
- 17
- sad
- 5
Stars delta
- awesome-evals
- +86 (30d)
- sad
- +2 (30d)
Open issues delta
- awesome-evals
- -4 (30d)
- sad
- 0 (30d)
Owner type
- awesome-evals
- Organization
- sad
- User
Full report
- awesome-evals
- Trust report
- sad
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, sad is CC-BY-4.0.
- 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 sad if…
- License: sad is CC-BY-4.0, awesome-evals is Other.
- Tags unique to sad: dataset, ml.
- When Python 3.12 or similar recent versions are available
When NOT to use sad
- If you require a tool with interactive features beyond dataset provision
- In environments restricted to languages other than HTML and Python
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 Aug 28, 2026
- GitHub forks (benchflow-ai/awesome-evals) · observed Aug 28, 2026
- Last push (benchflow-ai/awesome-evals) · observed Aug 20, 2026
- License file (Other) · observed Aug 28, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (LRudL/sad) · observed Sep 10, 2026
- GitHub forks (LRudL/sad) · observed Sep 10, 2026
- Last push (LRudL/sad) · observed Dec 14, 2024
- License file (CC-BY-4.0) · observed Sep 10, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: awesome-evals 847 · sad 55 (synced Aug 28, 2026).
Common questions
- What is the difference between awesome-evals and sad?
- awesome-evals: A curated library of resources for building and evaluating AI agents. sad: Situational Awareness Dataset. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over sad?
- Choose awesome-evals over sad when License: awesome-evals is Other, sad is CC-BY-4.0; 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 sad over awesome-evals?
- Choose sad over awesome-evals when License: sad is CC-BY-4.0, awesome-evals is Other; Tags unique to sad: dataset, ml; When Python 3.12 or similar recent versions are available.
- 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 sad?
- If you require a tool with interactive features beyond dataset provision In environments restricted to languages other than HTML and Python
- Is awesome-evals or sad more popular on GitHub?
- awesome-evals has more GitHub stars (847 vs 55). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and sad open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, sad: CC-BY-4.0).
- Where can I find alternatives to awesome-evals or sad?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and sad alternatives (awesome-evals markdown twin, sad 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 sad?
- awesome-evals: Active. sad: Dormant. 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 sad?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; sad trust report.