Comparison
evidently vs uptrain
Verdict
Pick evidently if evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments; pick uptrain if upTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.
Markdown twin · evidently alternatives · uptrain alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | evidently | uptrain |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Dormant (731d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- evidently
- An open-source ML and LLM observability framework.
- uptrain
- Unified platform for evaluating and improving Generative AI applications
Stars
- evidently
- 7.8k
- uptrain
- 2.4k
Forks
- evidently
- 895
- uptrain
- 204
Open issues
- evidently
- 295
- uptrain
- 58
Language
- evidently
- Jupyter Notebook
- uptrain
- Python
Adopt for
- evidently
- Evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
- uptrain
- UpTrain, an open-source platform, evaluates and enhances Generative AI applications with preconfigured checks, root cause analysis, and actionable insights.
Persona
- evidently
- -
- uptrain
- -
Runtime
- evidently
- -
- uptrain
- -
License
- evidently
- Apache-2.0
- uptrain
- The tool is available under the Apache-2.0 license, suitable for both free and commercial use with appropriate attribution.
Last pushed
- evidently
- Aug 5, 2026
- uptrain
- Aug 18, 2024
Categories
- evidently
- Evaluation & Observability
- uptrain
- Evaluation & Observability
Trust and health
Maintenance
- evidently
- Very active (96%)
- uptrain
- Dormant (18%)
Days since push
- evidently
- 2d
- uptrain
- 731d
Open issues (now)
- evidently
- 295
- uptrain
- 58
Stars delta
- evidently
- +117 (30d)
- uptrain
- +4 (30d)
Open issues delta
- evidently
- +10 (30d)
- uptrain
- +3 (30d)
Full report
- evidently
- Trust report
- uptrain
- Trust report
Typed relationship
evidently alternative uptrainEvidently also provides observability and evaluation features targeting ML and LLM models, akin to UpTrain's scope of operations.
Shared compatibility
- Python · evidently: Python runtime · uptrain: Python runtime
Choose evidently if…
- evidently is primarily Jupyter Notebook; uptrain is Python.
- Evidently also provides observability and evaluation features targeting ML and LLM models, akin to UpTrain's scope of operations.
- Tags unique to evidently: data-drift, data-quality, data-validation, gen-ai.
- Integrating into projects using Jupyter Notebooks where detailed observability is needed
When NOT to use evidently
- For developers preferring non-Jupyter based development environments
- Projects needing fewer, simpler monitoring tools without extensive metric support
Choose uptrain if…
- uptrain is primarily Python; evidently is Jupyter Notebook.
- UpTrain can be installed on-premises using pip or accessed through a managed version.
- Evidently also provides observability and evaluation features targeting ML and LLM models, akin to UpTrain's scope of operations.
- Tags unique to uptrain: autoevaluation, evaluation, experimentation, hallucination-detection.
- uptrain ships Docker support for self-hosted deployment.
- - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
When NOT to use uptrain
- - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis.
- - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (evidentlyai/evidently) · observed Aug 7, 2026
- GitHub forks (evidentlyai/evidently) · observed Aug 7, 2026
- Last push (evidentlyai/evidently) · observed Aug 5, 2026
- License file (Apache-2.0) · observed Aug 7, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (uptrain-ai/uptrain) · observed Aug 20, 2026
- GitHub forks (uptrain-ai/uptrain) · observed Aug 20, 2026
- Last push (uptrain-ai/uptrain) · observed Aug 18, 2024
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evidently 7.8k · uptrain 2.4k (synced Aug 7, 2026).
Common questions
- What is the difference between evidently and uptrain?
- evidently: An open-source ML and LLM observability framework.. uptrain: Unified platform for evaluating and improving Generative AI applications. See the comparison table for live GitHub stats and shared categories.
- When should I choose evidently over uptrain?
- Choose evidently over uptrain when evidently is primarily Jupyter Notebook; uptrain is Python; Evidently also provides observability and evaluation features targeting ML and LLM models, akin to UpTrain's scope of operations; Tags unique to evidently: data-drift, data-quality, data-validation, gen-ai; Integrating into projects using Jupyter Notebooks where detailed observability is needed.
- When should I choose uptrain over evidently?
- Choose uptrain over evidently when uptrain is primarily Python; evidently is Jupyter Notebook; UpTrain can be installed on-premises using pip or accessed through a managed version; Evidently also provides observability and evaluation features targeting ML and LLM models, akin to UpTrain's scope of operations; Tags unique to uptrain: autoevaluation, evaluation, experimentation, hallucination-detection; uptrain ships Docker support for self-hosted deployment; - When you need to evaluate Generative AI applications across various use-cases including language models, code generation, and embeddings.
- When should I avoid evidently?
- For developers preferring non-Jupyter based development environments Projects needing fewer, simpler monitoring tools without extensive metric support
- When should I avoid uptrain?
- - When your application does not require extensive monitoring or do not need insights into improving Generative AI performance through root cause analysis. - If you prioritize a highly hands-off user experience without the capability to customize evaluation checks, consider using UpTrain's managed version instead of self-managing it.
- Is evidently or uptrain more popular on GitHub?
- evidently has more GitHub stars (7,790 vs 2,359). Stars measure visibility, not whether either tool fits your constraints.
- Are evidently and uptrain open source?
- Yes - both are open-source projects on GitHub (evidently: Apache-2.0, uptrain: Apache-2.0).
- Where can I find alternatives to evidently or uptrain?
- GraphCanon lists graph-backed alternatives at evidently alternatives and uptrain alternatives (evidently markdown twin, uptrain 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, evidently or uptrain?
- evidently: Very active. uptrain: Dormant. 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 evidently and uptrain?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; uptrain trust report.