Comparison
awesome-evals vs zeno
Verdict
Pick awesome-evals if curated resources for AI agent evaluation with BenchFlow backing its maintenance; pick zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks.
Markdown twin · awesome-evals alternatives · zeno alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | awesome-evals | zeno |
|---|---|---|
| Maintenance | Active (26d since push) As of 3w · github_public_v1 | Archived (1032d 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 | Published findings 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
- zeno
- AI Data Management & Evaluation Platform
Stars
- awesome-evals
- 761
- zeno
- 214
Forks
- awesome-evals
- 71
- zeno
- 11
Open issues
- awesome-evals
- 21
- zeno
- 45
Language
- awesome-evals
- -
- zeno
- Svelte
Adopt for
- awesome-evals
- Curated resources for AI agent evaluation with BenchFlow backing its maintenance
- zeno
- Zeno combines Python API with an interactive UI for evaluating ML models across various tasks.
Persona
- awesome-evals
- -
- zeno
- -
Runtime
- awesome-evals
- -
- zeno
- -
License
- awesome-evals
- Other
- zeno
- MIT
Last pushed
- awesome-evals
- Jul 1, 2026
- zeno
- Oct 5, 2023
Categories
- awesome-evals
- AI Agents, Evaluation & Observability
- zeno
- Evaluation & Observability
Trust and health
Maintenance
- awesome-evals
- Active (82%)
- zeno
- Archived (8%)
Days since push
- awesome-evals
- 26d
- zeno
- 1032d
Archived on GitHub
- awesome-evals
- No
- zeno
- Yes
Open issues (now)
- awesome-evals
- 21
- zeno
- 45
OSV dependency advisories
- awesome-evals
- No lockfile (source not queried)
- zeno
- Published findings
Full report
- awesome-evals
- Trust report
- zeno
- Trust report
Choose awesome-evals if…
- License: awesome-evals is Other, zeno 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 zeno if…
- License: zeno is MIT, awesome-evals is Other.
- Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning.
- You need to analyze model performance interactively via a user interface
When NOT to use zeno
- Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework
- If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
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 (zeno-ml/zeno) · observed Aug 3, 2026
- GitHub forks (zeno-ml/zeno) · observed Aug 3, 2026
- Last push (zeno-ml/zeno) · observed Oct 5, 2023
- License file (MIT) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-evals 761 · zeno 214 (synced Jul 28, 2026).
Common questions
- What is the difference between awesome-evals and zeno?
- awesome-evals: A curated library of resources for building and evaluating AI agents. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-evals over zeno?
- Choose awesome-evals over zeno when License: awesome-evals is Other, zeno 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 zeno over awesome-evals?
- Choose zeno over awesome-evals when License: zeno is MIT, awesome-evals is Other; Tags unique to zeno: ai, data-science, evaluation-framework, machine-learning; You need to analyze model performance interactively via a user interface.
- 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 zeno?
- Your project requires real-time monitoring capabilities not provided by Zeno's evaluation framework If you are looking for a specialized tool tailored only to specific data types, like just images or text without the modular versatility of Zeno
- Is awesome-evals or zeno more popular on GitHub?
- awesome-evals has more GitHub stars (761 vs 214). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-evals and zeno open source?
- Yes - both are open-source projects on GitHub (awesome-evals: Other, zeno: MIT).
- Where can I find alternatives to awesome-evals or zeno?
- GraphCanon lists graph-backed alternatives at awesome-evals alternatives and zeno alternatives (awesome-evals markdown twin, zeno 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 zeno?
- awesome-evals: Active. zeno: Archived. 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 zeno?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-evals trust report; zeno trust report.