Comparison
evidently vs langfuse
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 langfuse if langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.
Markdown twin · evidently alternatives · langfuse alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | evidently | langfuse |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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 | 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.
- langfuse
- Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets
Stars
- evidently
- 7.8k
- langfuse
- 32k
Forks
- evidently
- 895
- langfuse
- 3.5k
Open issues
- evidently
- 295
- langfuse
- 709
Language
- evidently
- Jupyter Notebook
- langfuse
- TypeScript
Adopt for
- evidently
- Evidently provides comprehensive observability across a wide range of data types and metrics, particularly suited for integration with Jupyter Notebook environments.
- langfuse
- Langfuse is an open source AI engineering platform designed to support evaluation and observability functions for large language models.
Persona
- evidently
- -
- langfuse
- -
Runtime
- evidently
- -
- langfuse
- -
License
- evidently
- Apache-2.0
- langfuse
- Other
Last pushed
- evidently
- Aug 5, 2026
- langfuse
- Jul 31, 2026
Categories
- evidently
- Evaluation & Observability
- langfuse
- Evaluation & Observability
Trust and health
Days since push
- evidently
- 2d
- langfuse
- 0d
Open issues (now)
- evidently
- 295
- langfuse
- 709
Stars delta
- evidently
- +117 (30d)
- langfuse
- Unknown
Open issues delta
- evidently
- +10 (30d)
- langfuse
- Unknown
Full report
- evidently
- Trust report
- langfuse
- Trust report
Typed relationship
evidently alternative langfuseLangfuse and Evidently both offer comprehensive platforms for AI engineering focused on evaluation and observability of LLMs.
Choose evidently if…
- evidently is primarily Jupyter Notebook; langfuse is TypeScript.
- License: evidently is Apache-2.0, langfuse is Other.
- Langfuse and Evidently both offer comprehensive platforms for AI engineering focused on evaluation and observability of LLMs.
- 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 langfuse if…
- langfuse is primarily TypeScript; evidently is Jupyter Notebook.
- License: langfuse is Other, evidently is Apache-2.0.
- Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content.
- Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment..
- Langfuse and Evidently both offer comprehensive platforms for AI engineering focused on evaluation and observability of LLMs.
- Tags unique to langfuse: analytics, evaluation, observability, open-source.
- langfuse ships Docker support for self-hosted deployment.
- Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
When NOT to use langfuse
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management.
- If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it
- may not be the optimal choice.
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 (langfuse/langfuse) · observed Aug 1, 2026
- GitHub forks (langfuse/langfuse) · observed Aug 1, 2026
- Last push (langfuse/langfuse) · observed Jul 31, 2026
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evidently 7.8k · langfuse 32k (synced Aug 7, 2026).
Common questions
- What is the difference between evidently and langfuse?
- evidently: An open-source ML and LLM observability framework.. langfuse: Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. See the comparison table for live GitHub stats and shared categories.
- When should I choose evidently over langfuse?
- Choose evidently over langfuse when evidently is primarily Jupyter Notebook; langfuse is TypeScript; License: evidently is Apache-2.0, langfuse is Other; Langfuse and Evidently both offer comprehensive platforms for AI engineering focused on evaluation and observability of LLMs; 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 langfuse over evidently?
- Choose langfuse over evidently when langfuse is primarily TypeScript; evidently is Jupyter Notebook; License: langfuse is Other, evidently is Apache-2.0; Pricing: Langfuse offers an open-source version under MIT license except for some 'ee' folders, indicating a possible enterprise edition. Specific pricing details are not provided within the repository content; Requirements: Requires Docker; Self-hosting options include Docker Compose and Kubernetes for deployment.; Langfuse and Evidently both offer comprehensive platforms for AI engineering focused on evaluation and observability of LLMs; Tags unique to langfuse: analytics, evaluation, observability, open-source; langfuse ships Docker support for self-hosted deployment; Use Langfuse if you need advanced prompt management tools, as it offers comprehensive features specifically tailored for managing prompts efficiently.
- 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 langfuse?
- Avoid using Langfuse if you prefer a vendor-managed service as it requires self-hosting. This can be less desirable for teams looking to minimize infrastructure management. If your development environment is not compatible with Kubernetes, Docker Compose configurations, or major cloud providers (AWS, Azure, GCP) that Langfuse supports via specific templates and Helm, it may not be the optimal choice.
- Is evidently or langfuse more popular on GitHub?
- langfuse has more GitHub stars (32,271 vs 7,790). Stars measure visibility, not whether either tool fits your constraints.
- Are evidently and langfuse open source?
- Yes - both are open-source projects on GitHub (evidently: Apache-2.0, langfuse: Other).
- Where can I find alternatives to evidently or langfuse?
- GraphCanon lists graph-backed alternatives at evidently alternatives and langfuse alternatives (evidently markdown twin, langfuse 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 langfuse?
- evidently: Very active. langfuse: 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 evidently and langfuse?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; langfuse trust report.