Comparison
evidently vs lmnr
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 lmnr if lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options.
Markdown twin · evidently alternatives · lmnr alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | evidently | lmnr |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 4w · 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.
- lmnr
- Open-source observability platform for AI agents.
Stars
- evidently
- 7.8k
- lmnr
- 3.1k
Forks
- evidently
- 895
- lmnr
- 219
Open issues
- evidently
- 295
- lmnr
- 97
Language
- evidently
- Jupyter Notebook
- lmnr
- 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.
- lmnr
- lmnr is an open-source observability platform specifically aimed at monitoring AI agents, offering both self-hosting and managed platform options.
Persona
- evidently
- -
- lmnr
- -
Runtime
- evidently
- -
- lmnr
- -
License
- evidently
- Apache-2.0
- lmnr
- Apache-2.0
Last pushed
- evidently
- Aug 5, 2026
- lmnr
- Jul 21, 2026
Categories
- evidently
- Evaluation & Observability
- lmnr
- Developer Tools, Evaluation & Observability
Trust and health
Days since push
- evidently
- 2d
- lmnr
- 0d
Open issues (now)
- evidently
- 295
- lmnr
- 97
Stars delta
- evidently
- +117 (30d)
- lmnr
- Unknown
Open issues delta
- evidently
- +10 (30d)
- lmnr
- Unknown
Full report
- evidently
- Trust report
- lmnr
- Trust report
Typed relationship
evidently alternative lmnrBoth Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.
Choose evidently if…
- evidently is primarily Jupyter Notebook; lmnr is TypeScript.
- Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.
- 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 lmnr if…
- lmnr is primarily TypeScript; evidently is Jupyter Notebook.
- Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments.
- Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment..
- Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches.
- Tags unique to lmnr: agent-observability, ai-observability, evaluation, llm-evaluation.
- Also covers Developer Tools.
- lmnr ships Docker support for self-hosted deployment.
- When you need a dedicated solution for evaluating the performance and behavior of AI agents.
When NOT to use lmnr
- When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services.
- For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool).
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 (lmnr-ai/lmnr) · observed Jul 21, 2026
- GitHub forks (lmnr-ai/lmnr) · observed Jul 21, 2026
- Last push (lmnr-ai/lmnr) · observed Jul 21, 2026
- License file (Apache-2.0) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: evidently 7.8k · lmnr 3.1k (synced Aug 7, 2026).
Common questions
- What is the difference between evidently and lmnr?
- evidently: An open-source ML and LLM observability framework.. lmnr: Open-source observability platform for AI agents.. See the comparison table for live GitHub stats and shared categories.
- When should I choose evidently over lmnr?
- Choose evidently over lmnr when evidently is primarily Jupyter Notebook; lmnr is TypeScript; Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches; 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 lmnr over evidently?
- Choose lmnr over evidently when lmnr is primarily TypeScript; evidently is Jupyter Notebook; Supports self-hosting through Docker Compose, making it accessible to local environments or lightweight usage; however, recommends a managed platform option for production environments; Requirements: Proper SDK configuration is critical when self-hosting.; Managed platform may be more suitable if setting up in a production environment.; Both Evidently and lmnr provide observability for AI systems, but they offer different solutions and approaches; Tags unique to lmnr: agent-observability, ai-observability, evaluation, llm-evaluation; Also covers Developer Tools; lmnr ships Docker support for self-hosted deployment; When you need a dedicated solution for evaluating the performance and behavior of AI agents.
- 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 lmnr?
- When your primary observability needs are not specific to AI agents but cover a broader range of application monitoring services. For those preferring platforms with wider language support beyond TypeScript and Rust (the major languages highlighted for this tool).
- Is evidently or lmnr more popular on GitHub?
- evidently has more GitHub stars (7,790 vs 3,103). Stars measure visibility, not whether either tool fits your constraints.
- Are evidently and lmnr open source?
- Yes - both are open-source projects on GitHub (evidently: Apache-2.0, lmnr: Apache-2.0).
- Where can I find alternatives to evidently or lmnr?
- GraphCanon lists graph-backed alternatives at evidently alternatives and lmnr alternatives (evidently markdown twin, lmnr 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 lmnr?
- evidently: Very active. lmnr: 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 lmnr?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; lmnr trust report.