Comparison
awesome-ai-sdks vs simple-evals
Verdict
Pick awesome-ai-sdks when tags unique to awesome-ai-sdks: awesome, agents, ai, agentops; pick simple-evals when tags unique to simple-evals: python.
Markdown twin · awesome-ai-sdks alternatives · simple-evals alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | awesome-ai-sdks | simple-evals |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Steady (79d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No lockfile As of today · none |
Tagline
- awesome-ai-sdks
- A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents
- simple-evals
- simple-evals
Stars
- awesome-ai-sdks
- 1.2k
- simple-evals
- 4.6k
Forks
- awesome-ai-sdks
- 313
- simple-evals
- 493
Open issues
- awesome-ai-sdks
- 203
- simple-evals
- 56
Language
- awesome-ai-sdks
- -
- simple-evals
- Python
Adopt for
- awesome-ai-sdks
- Decision-Critical Facts for 'awesome-ai-sdks':
- simple-evals
- -
Persona
- awesome-ai-sdks
- -
- simple-evals
- -
Runtime
- awesome-ai-sdks
- -
- simple-evals
- -
License
- awesome-ai-sdks
- -
- simple-evals
- MIT
Last pushed
- awesome-ai-sdks
- Jul 9, 2026
- simple-evals
- Apr 22, 2026
Categories
- awesome-ai-sdks
- AI Agents, LLM Frameworks, Inference & Serving
- simple-evals
- LLM Frameworks, Evaluation & Observability
Trust and health
Maintenance
- awesome-ai-sdks
- Very active (96%)
- simple-evals
- Steady (60%)
Days since push
- awesome-ai-sdks
- 1d
- simple-evals
- 79d
Open issues (now)
- awesome-ai-sdks
- 203
- simple-evals
- 56
Full report
- awesome-ai-sdks
- Trust report
- simple-evals
- Trust report
Choose awesome-ai-sdks if…
- Tags unique to awesome-ai-sdks: awesome, agents, ai, agentops.
- Also covers AI Agents, Inference & Serving.
- - When you are looking to consolidate information across various SDKs, frameworks, libraries, and tools specific to AI agent development. The repository is curated by e2b-dev and provides a dedicated,
When NOT to use awesome-ai-sdks
- - If you require fully comprehensive coverage of all possible SDKs in the market. The repository notes that its list is not exhaustive.
- - This tool might not be suitable if you need production-ready solutions exclusively as some listed tools like Chidori are marked 'currently in alpha' and 'not yet ready for production use'.
- - If your primary goal is to find definitive commercial or open-source SDKs with a clear, comprehensive documentation. The repository serves more as a curated list rather than an authoritative source.
Choose simple-evals if…
- Tags unique to simple-evals: python.
- Also covers Evaluation & Observability.
- More GitHub stars (4.6k vs 1.2k) - visibility, not fit.
When NOT to use simple-evals
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (e2b-dev/awesome-ai-sdks) · observed Jul 11, 2026
- GitHub forks (e2b-dev/awesome-ai-sdks) · observed Jul 11, 2026
- Last push (e2b-dev/awesome-ai-sdks) · observed Jul 9, 2026
- License file (unknown) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (openai/simple-evals) · observed Jul 11, 2026
- GitHub forks (openai/simple-evals) · observed Jul 11, 2026
- Last push (openai/simple-evals) · observed Apr 22, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-ai-sdks 1.2k · simple-evals 4.6k (synced Jul 11, 2026).
Common questions
- What is the difference between awesome-ai-sdks and simple-evals?
- awesome-ai-sdks: A database of SDKs, frameworks, libraries, and tools for creating, monitoring, debugging and deploying autonomous AI agents. simple-evals: simple-evals. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-sdks over simple-evals?
- Choose awesome-ai-sdks over simple-evals when Tags unique to awesome-ai-sdks: awesome, agents, ai, agentops; Also covers AI Agents, Inference & Serving; - When you are looking to consolidate information across various SDKs, frameworks, libraries, and tools specific to AI agent development. The repository is curated by e2b-dev and provides a dedicated,.
- When should I choose simple-evals over awesome-ai-sdks?
- Choose simple-evals over awesome-ai-sdks when Tags unique to simple-evals: python; Also covers Evaluation & Observability; More GitHub stars (4.6k vs 1.2k) - visibility, not fit.
- When should I avoid awesome-ai-sdks?
- - If you require fully comprehensive coverage of all possible SDKs in the market. The repository notes that its list is not exhaustive. - This tool might not be suitable if you need production-ready solutions exclusively as some listed tools like Chidori are marked 'currently in alpha' and 'not yet ready for production use'. - If your primary goal is to find definitive commercial or open-source SDKs with a clear, comprehensive documentation. The repository serves more as a curated list rather than an authoritative source.
- When should I avoid simple-evals?
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- Is awesome-ai-sdks or simple-evals more popular on GitHub?
- simple-evals has more GitHub stars (4,565 vs 1,198). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-sdks and simple-evals open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-ai-sdks or simple-evals?
- GraphCanon lists graph-backed alternatives at awesome-ai-sdks alternatives and simple-evals alternatives (awesome-ai-sdks 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-ai-sdks or simple-evals?
- awesome-ai-sdks: Very active. simple-evals: 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-ai-sdks and simple-evals?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-sdks trust report; simple-evals trust report.