Home/Compare/athina-evals vs zeno

Comparison

athina-evals vs zeno

Verdict

Pick athina-evals if athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks; pick zeno if zeno combines Python API with an interactive UI for evaluating ML models across various tasks.

Markdown twin · athina-evals alternatives · zeno alternatives

GraphCanon updated 2w

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
zeno logo

zeno

zeno-ml/zeno

214pushed Oct 5, 2023

Trust & integrity

Signalathina-evalszeno
Maintenance
Dormant (417d 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

athina-evals
Python SDK for evaluating LLM generated responses
zeno
AI Data Management & Evaluation Platform

Stars

athina-evals
301
zeno
214

Forks

athina-evals
22
zeno
11

Open issues

athina-evals
3
zeno
45

Language

athina-evals
Python
zeno
Svelte

Adopt for

athina-evals
athina-evals is a Python SDK developed for facilitating the evaluation of outputs from large language models through predefined metrics and frameworks.
zeno
Zeno combines Python API with an interactive UI for evaluating ML models across various tasks.

Persona

athina-evals
-
zeno
-

Runtime

athina-evals
-
zeno
-

License

athina-evals
-
zeno
MIT

Last pushed

athina-evals
Jun 6, 2025
zeno
Oct 5, 2023

Categories

athina-evals
Evaluation & Observability
zeno
Evaluation & Observability

Trust and health

Maintenance

athina-evals
Dormant (18%)
zeno
Archived (8%)

Days since push

athina-evals
417d
zeno
1032d

Archived on GitHub

athina-evals
No
zeno
Yes

Open issues (now)

athina-evals
3
zeno
45

OSV dependency advisories

athina-evals
No lockfile (source not queried)
zeno
Published findings

Full report

athina-evals
Trust report

Choose athina-evals if…

  • athina-evals is primarily Python; zeno is Svelte.
  • Tags unique to athina-evals: evaluation, evaluation-metrics, llm-eval, llm-evaluation.
  • When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics

When NOT to use athina-evals

  • If open-source alternatives with transparent customization options are preferred over athina-evals' approach
  • In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments

Choose zeno if…

  • zeno is primarily Svelte; athina-evals is Python.
  • Tags unique to zeno: ai, data-science, 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 on cards: athina-evals 301 · zeno 214 (synced Jul 28, 2026).

Common questions

What is the difference between athina-evals and zeno?
athina-evals: Python SDK for evaluating LLM generated responses. zeno: AI Data Management & Evaluation Platform. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over zeno?
Choose athina-evals over zeno when athina-evals is primarily Python; zeno is Svelte; Tags unique to athina-evals: evaluation, evaluation-metrics, llm-eval, llm-evaluation; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics.
When should I choose zeno over athina-evals?
Choose zeno over athina-evals when zeno is primarily Svelte; athina-evals is Python; Tags unique to zeno: ai, data-science, machine-learning; You need to analyze model performance interactively via a user interface.
When should I avoid athina-evals?
If open-source alternatives with transparent customization options are preferred over athina-evals' approach In scenarios where API access requirements limit the ability to perform evaluations offline or in private environments
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 athina-evals or zeno more popular on GitHub?
athina-evals has more GitHub stars (301 vs 214). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and zeno open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or zeno?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and zeno alternatives (athina-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, athina-evals or zeno?
athina-evals: Dormant. 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 athina-evals and zeno?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; zeno trust report.

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