Comparison
evidently vs RagaAI-Catalyst
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 RagaAI-Catalyst if ragaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL.
Markdown twin · evidently alternatives · RagaAI-Catalyst alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | evidently | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Very active (2d since push) As of 2w · github_public_v1 | Slowing (189d 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 | Published findings 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.
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- evidently
- 7.8k
- RagaAI-Catalyst
- 16k
Forks
- evidently
- 895
- RagaAI-Catalyst
- 3.6k
Open issues
- evidently
- 295
- RagaAI-Catalyst
- 34
Language
- evidently
- Jupyter Notebook
- RagaAI-Catalyst
- 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.
- RagaAI-Catalyst
- RagaAI-Catalyst emerges as a specialized Python framework designed for monitoring and evaluating AI agents, with unique features around self-hosted dashboards, advanced analytics, and support for tracing and debugging LL
Persona
- evidently
- -
- RagaAI-Catalyst
- -
Runtime
- evidently
- -
- RagaAI-Catalyst
- -
License
- evidently
- Apache-2.0
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- evidently
- Aug 5, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- evidently
- Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- evidently
- Very active (96%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- evidently
- 2d
- RagaAI-Catalyst
- 189d
Open issues (now)
- evidently
- 295
- RagaAI-Catalyst
- 34
Stars delta
- evidently
- +117 (30d)
- RagaAI-Catalyst
- +5 (30d)
Open issues delta
- evidently
- +10 (30d)
- RagaAI-Catalyst
- 0 (30d)
OSV dependency advisories
- evidently
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- evidently
- Trust report
- RagaAI-Catalyst
- Trust report
Typed relationship
evidently alternative RagaAI-CatalystRagaAI-Catalyst and Evidently both provide frameworks for evaluating and monitoring AI systems but with potentially different sets of features.
Shared compatibility
- Python · evidently: Python runtime · RagaAI-Catalyst: Python runtime
Choose evidently if…
- evidently is primarily Jupyter Notebook; RagaAI-Catalyst is Python.
- RagaAI-Catalyst and Evidently both provide frameworks for evaluating and monitoring AI systems but with potentially different sets of features.
- 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 RagaAI-Catalyst if…
- RagaAI-Catalyst is primarily Python; evidently is Jupyter Notebook.
- RagaAI-Catalyst and Evidently both provide frameworks for evaluating and monitoring AI systems but with potentially different sets of features.
- Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents.
- Also covers AI Agents.
- When you need comprehensive tools for the observability of complex multi-agentic systems.
When NOT to use RagaAI-Catalyst
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem.
- If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features.
- For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations.
- In scenarios where a fully managed service with no self-hosting requirements is preferred.
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 (raga-ai-hub/RagaAI-Catalyst) · observed Aug 20, 2026
- GitHub forks (raga-ai-hub/RagaAI-Catalyst) · observed Aug 20, 2026
- Last push (raga-ai-hub/RagaAI-Catalyst) · observed Feb 11, 2026
- 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 · RagaAI-Catalyst 16k (synced Aug 7, 2026).
Common questions
- What is the difference between evidently and RagaAI-Catalyst?
- evidently: An open-source ML and LLM observability framework.. RagaAI-Catalyst: Python SDK for AI agent observability and evaluation. See the comparison table for live GitHub stats and shared categories.
- When should I choose evidently over RagaAI-Catalyst?
- Choose evidently over RagaAI-Catalyst when evidently is primarily Jupyter Notebook; RagaAI-Catalyst is Python; RagaAI-Catalyst and Evidently both provide frameworks for evaluating and monitoring AI systems but with potentially different sets of features; 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 RagaAI-Catalyst over evidently?
- Choose RagaAI-Catalyst over evidently when RagaAI-Catalyst is primarily Python; evidently is Jupyter Notebook; RagaAI-Catalyst and Evidently both provide frameworks for evaluating and monitoring AI systems but with potentially different sets of features; Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents; Also covers AI Agents; When you need comprehensive tools for the observability of complex multi-agentic systems.
- 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 RagaAI-Catalyst?
- When you prefer a language-agnostic solution or require support outside of the Python ecosystem. If your primary need is focused solely on basic monitoring without advanced debugging and evaluation features. For projects that do not utilize multi-agentic systems or do not benefit from timeline and execution graph visualizations. In scenarios where a fully managed service with no self-hosting requirements is preferred.
- Is evidently or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,148 vs 7,790). Stars measure visibility, not whether either tool fits your constraints.
- Are evidently and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (evidently: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to evidently or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at evidently alternatives and RagaAI-Catalyst alternatives (evidently markdown twin, RagaAI-Catalyst 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 RagaAI-Catalyst?
- evidently: Very active. RagaAI-Catalyst: Slowing. 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 RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: evidently trust report; RagaAI-Catalyst trust report.