Comparison
opik vs RagaAI-Catalyst
Verdict
Pick opik if opik is a tool for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows. It supports self-hosting and provides a Python SDK for easy integration; 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.
Markdown twin · opik alternatives · RagaAI-Catalyst alternatives
GraphCanon updated Sep 20, 2026
14views this month
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Trust & integrity
| Signal | opik | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Slowing (220d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 2026 · osv@v1 | Published findings As of Jul 11, 2026 · 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
- opik
- Debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- opik
- 22k
- RagaAI-Catalyst
- 16k
Forks
- opik
- 1.8k
- RagaAI-Catalyst
- 3.6k
Open issues
- opik
- 266
- RagaAI-Catalyst
- 34
Language
- opik
- Python
- RagaAI-Catalyst
- Python
Adopt for
- opik
- Opik is a tool for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows. It supports self-hosting and provides a Python SDK for easy integration.
- 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
- opik
- -
- RagaAI-Catalyst
- -
Runtime
- opik
- -
- RagaAI-Catalyst
- -
License
- opik
- Apache-2.0
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- opik
- Sep 18, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- opik
- Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- opik
- Very active (96%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- opik
- 0d
- RagaAI-Catalyst
- 220d
Open issues (now)
- opik
- 266
- RagaAI-Catalyst
- 34
Stars delta
- opik
- +933 (30d)
- RagaAI-Catalyst
- +14 (30d)
Open issues delta
- opik
- +94 (30d)
- RagaAI-Catalyst
- 0 (30d)
OSV dependency advisories
- opik
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- opik
- Trust report
- RagaAI-Catalyst
- Trust report
Typed relationship
opik RagaAI-CatalystRAGA and Opik both provide AI monitoring, observability, and evaluation solutions but target slightly different use cases.
Shared compatibility
- Python · opik: Python runtime · RagaAI-Catalyst: Python runtime
Choose opik if…
- RAGA and Opik both provide AI monitoring, observability, and evaluation solutions but target slightly different use cases.
- Tags unique to opik: evaluation, langchain, llama-index, llm.
- When you need comprehensive tracing and automated evaluations for LLM applications, RAG systems, and agentic workflows.
When NOT to use opik
- If you do not require comprehensive tracing and automated evaluations, and simpler monitoring tools suffice.
- When you prefer not to self-host and manage your own Opik server.
- If your project is not in Python and you do not want to use the Python SDK.
- When you need a tool that supports more languages or frameworks beyond Python.
Choose RagaAI-Catalyst if…
- RAGA and Opik both provide AI monitoring, observability, and evaluation solutions but target slightly different use cases.
- 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 (comet-ml/opik) · observed Sep 20, 2026
- GitHub forks (comet-ml/opik) · observed Sep 20, 2026
- Last push (comet-ml/opik) · observed Sep 18, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- GitHub stars (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- GitHub forks (raga-ai-hub/RagaAI-Catalyst) · observed Sep 20, 2026
- Last push (raga-ai-hub/RagaAI-Catalyst) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: opik 22k · RagaAI-Catalyst 16k (synced Sep 20, 2026).
Common questions
- What is the difference between opik and RagaAI-Catalyst?
- opik: Debug, evaluate, and monitor LLM applications, RAG systems, and agentic workflows. 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 opik over RagaAI-Catalyst?
- Choose opik over RagaAI-Catalyst when RAGA and Opik both provide AI monitoring, observability, and evaluation solutions but target slightly different use cases; Tags unique to opik: evaluation, langchain, llama-index, llm; When you need comprehensive tracing and automated evaluations for LLM applications, RAG systems, and agentic workflows.
- When should I choose RagaAI-Catalyst over opik?
- Choose RagaAI-Catalyst over opik when RAGA and Opik both provide AI monitoring, observability, and evaluation solutions but target slightly different use cases; 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 opik?
- If you do not require comprehensive tracing and automated evaluations, and simpler monitoring tools suffice. When you prefer not to self-host and manage your own Opik server. If your project is not in Python and you do not want to use the Python SDK. When you need a tool that supports more languages or frameworks beyond Python.
- 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 opik or RagaAI-Catalyst more popular on GitHub?
- opik has more GitHub stars (22,110 vs 16,162). Stars measure visibility, not whether either tool fits your constraints.
- Are opik and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (opik: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to opik or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at opik alternatives and RagaAI-Catalyst alternatives (opik 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, opik or RagaAI-Catalyst?
- opik: 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 opik and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: opik trust report; RagaAI-Catalyst trust report.