Home/Compare/athina-evals vs mteb

Comparison

athina-evals vs mteb

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 mteb if mTEB is an evaluator for embedding models across languages and modalities under the Apache-2.0 license.

Markdown twin · athina-evals alternatives · mteb alternatives

GraphCanon updated 1d

athina-evals logo

athina-evals

athina-ai/athina-evals

301pushed Jun 6, 2025
vs
mteb logo

mteb

embeddings-benchmark/mteb

3.4kpushed Aug 21, 2026

Trust & integrity

Signalathina-evalsmteb
Maintenance
Dormant (417d since push)
As of 3w · github_public_v1
Very active (0d since push)
As of 1d · github_public_v1
Provenance
Not a fork · Organization account
As of 3w · github_public_v1
Not a fork · Organization account
As of 1d · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No lockfile (source not queried)
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
mteb
State-of-the-art evaluation of embeddings across languages and modalities

Stars

athina-evals
301
mteb
3.4k

Forks

athina-evals
22
mteb
670

Open issues

athina-evals
3
mteb
340

Language

athina-evals
Python
mteb
Python

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.
mteb
MTEB is an evaluator for embedding models across languages and modalities under the Apache-2.0 license.

Persona

athina-evals
-
mteb
-

Runtime

athina-evals
-
mteb
-

License

athina-evals
-
mteb
Apache-2.0

Last pushed

athina-evals
Jun 6, 2025
mteb
Aug 21, 2026

Categories

athina-evals
Evaluation & Observability
mteb
Evaluation & Observability

Trust and health

Maintenance

athina-evals
Dormant (18%)
mteb
Very active (96%)

Days since push

athina-evals
417d
mteb
0d

Open issues (now)

athina-evals
3
mteb
340

Stars delta

athina-evals
Unknown
mteb
+36 (30d)

Open issues delta

athina-evals
Unknown
mteb
+31 (30d)

Full report

athina-evals
Trust report

Choose athina-evals if…

  • Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval.
  • When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics
  • Leaner open-issue backlog (3).

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 mteb if…

  • Tags unique to mteb: benchmark, bitext-mining, clustering, embeddings.
  • mteb ships Docker support for self-hosted deployment.
  • You require benchmarking tools specifically designed for state-of-the-art embedding evaluations in low-resource NLP contexts.

When NOT to use mteb

  • Your project exclusively focuses on a single language or modality not covered by MTEB’s broad scope.
  • You need a tool that supports operations beyond evaluation, such as model training or fine-tuning directly within the same system.

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 · mteb 3.4k (synced Jul 28, 2026).

Common questions

What is the difference between athina-evals and mteb?
athina-evals: Python SDK for evaluating LLM generated responses. mteb: State-of-the-art evaluation of embeddings across languages and modalities. See the comparison table for live GitHub stats and shared categories.
When should I choose athina-evals over mteb?
Choose athina-evals over mteb when Tags unique to athina-evals: evaluation, evaluation-framework, evaluation-metrics, llm-eval; When comprehensive evaluation of LLM responses is required, leveraging athina's specific tools and metrics; Leaner open-issue backlog (3).
When should I choose mteb over athina-evals?
Choose mteb over athina-evals when Tags unique to mteb: benchmark, bitext-mining, clustering, embeddings; mteb ships Docker support for self-hosted deployment; You require benchmarking tools specifically designed for state-of-the-art embedding evaluations in low-resource NLP contexts.
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 mteb?
Your project exclusively focuses on a single language or modality not covered by MTEB’s broad scope. You need a tool that supports operations beyond evaluation, such as model training or fine-tuning directly within the same system.
Is athina-evals or mteb more popular on GitHub?
mteb has more GitHub stars (3,400 vs 301). Stars measure visibility, not whether either tool fits your constraints.
Are athina-evals and mteb open source?
Yes - both are open-source projects on GitHub.
Where can I find alternatives to athina-evals or mteb?
GraphCanon lists graph-backed alternatives at athina-evals alternatives and mteb alternatives (athina-evals markdown twin, mteb 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 mteb?
athina-evals: Dormant. mteb: Very active. 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 mteb?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: athina-evals trust report; mteb trust report.

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