Comparison
mteb vs evidently
Verdict
Pick mteb when mteb is primarily Python; evidently is Jupyter Notebook; pick evidently when evidently is primarily Jupyter Notebook; mteb is Python.
Markdown twin · mteb alternatives · evidently alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | mteb | evidently |
|---|---|---|
| Maintenance | Very active (1d since push) As of today · github_public_v1 | Steady (69d 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
- mteb
- State-of-the-art evaluation of embeddings across languages and modalities
- evidently
- Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
Stars
- mteb
- 3.3k
- evidently
- 7.7k
Forks
- mteb
- 638
- evidently
- 875
Open issues
- mteb
- 295
- evidently
- 285
Language
- mteb
- Python
- evidently
- Jupyter Notebook
Adopt for
- mteb
- -
- evidently
- Evidently is an open-source observability framework for assessing and monitoring AI systems, with support for over 100 different metrics. It can easily integrate into existing ML pipelines via Jupyter Notebooks.
Persona
- mteb
- -
- evidently
- -
Runtime
- mteb
- -
- evidently
- -
License
- mteb
- Apache-2.0
- evidently
- Apache-2.0
Last pushed
- mteb
- Jul 9, 2026
- evidently
- May 2, 2026
Categories
- mteb
- Evaluation & Observability
- evidently
- Data & Retrieval, Evaluation & Observability, LLM Frameworks
Trust and health
Maintenance
- mteb
- Very active (96%)
- evidently
- Steady (60%)
Days since push
- mteb
- 1d
- evidently
- 69d
Open issues (now)
- mteb
- 295
- evidently
- 285
Full report
- mteb
- Trust report
- evidently
- Trust report
Choose mteb if…
- mteb is primarily Python; evidently is Jupyter Notebook.
- Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval.
- mteb ships Docker support for self-hosted deployment.
When NOT to use mteb
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
Choose evidently if…
- evidently is primarily Jupyter Notebook; mteb is Python.
- Pricing: Evidently is available under the Apache-2.0 license and open-source on GitHub, making the core framework free to use. However, advanced or specific-use-case features might necessitate community or own.
- Requirements: Installation straightforward through PyPI or Conda Forge..
- Tags unique to evidently: data-drift, data-quality, data-science, data-validation.
- Also covers Data & Retrieval, LLM Frameworks.
- Use Evidently when you need a robust solution to evaluate model performance across various stages of the machine learning lifecycle, including generative AI applications.
When NOT to use evidently
- Avoid using Evidently for projects where custom metric definitions are critical, as it may require significant effort to expand beyond its pre-implemented 100+ metrics.
- Do not opt for Evidently if your organization strictly prefers lightweight, minimalistic tools; it can be more feature-rich than necessary for simple monitoring tasks.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (embeddings-benchmark/mteb) · observed Jul 11, 2026
- GitHub forks (embeddings-benchmark/mteb) · observed Jul 11, 2026
- Last push (embeddings-benchmark/mteb) · observed Jul 9, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (evidentlyai/evidently) · observed Jul 11, 2026
- GitHub forks (evidentlyai/evidently) · observed Jul 11, 2026
- Last push (evidentlyai/evidently) · observed May 2, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mteb 3.3k · evidently 7.7k (synced Jul 11, 2026).
Common questions
- What is the difference between mteb and evidently?
- mteb: State-of-the-art evaluation of embeddings across languages and modalities. evidently: Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.. See the comparison table for live GitHub stats and shared categories.
- When should I choose mteb over evidently?
- Choose mteb over evidently when mteb is primarily Python; evidently is Jupyter Notebook; Tags unique to mteb: benchmark, embeddings, evaluation, information-retrieval; mteb ships Docker support for self-hosted deployment.
- When should I choose evidently over mteb?
- Choose evidently over mteb when evidently is primarily Jupyter Notebook; mteb is Python; Pricing: Evidently is available under the Apache-2.0 license and open-source on GitHub, making the core framework free to use. However, advanced or specific-use-case features might necessitate community or own; Requirements: Installation straightforward through PyPI or Conda Forge.; Tags unique to evidently: data-drift, data-quality, data-science, data-validation; Also covers Data & Retrieval, LLM Frameworks; Use Evidently when you need a robust solution to evaluate model performance across various stages of the machine learning lifecycle, including generative AI applications.
- When should I avoid mteb?
- Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers.
- When should I avoid evidently?
- Avoid using Evidently for projects where custom metric definitions are critical, as it may require significant effort to expand beyond its pre-implemented 100+ metrics. Do not opt for Evidently if your organization strictly prefers lightweight, minimalistic tools; it can be more feature-rich than necessary for simple monitoring tasks.
- Is mteb or evidently more popular on GitHub?
- evidently has more GitHub stars (7,682 vs 3,349). Stars measure visibility, not whether either tool fits your constraints.
- Are mteb and evidently open source?
- Yes - both are open-source projects on GitHub (mteb: Apache-2.0, evidently: Apache-2.0).
- Where can I find alternatives to mteb or evidently?
- GraphCanon lists graph-backed alternatives at mteb alternatives and evidently alternatives (mteb markdown twin, evidently 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, mteb or evidently?
- mteb: Very active. evidently: 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 mteb and evidently?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mteb trust report; evidently trust report.