Comparison
lmnr vs RagaAI-Catalyst
Verdict
Pick lmnr if laminar, or lmnr, is an open-source observability platform for AI agents, offering both a managed platform and self-hosting options via Docker Compose; 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 · lmnr alternatives · RagaAI-Catalyst alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | lmnr | 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
- lmnr
- Laminar - open-source observability platform for AI agents
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- lmnr
- 3.3k
- RagaAI-Catalyst
- 16k
Forks
- lmnr
- 239
- RagaAI-Catalyst
- 3.6k
Open issues
- lmnr
- 115
- RagaAI-Catalyst
- 34
Language
- lmnr
- TypeScript
- RagaAI-Catalyst
- Python
Adopt for
- lmnr
- Laminar, or lmnr, is an open-source observability platform for AI agents, offering both a managed platform and self-hosting options via Docker Compose.
- 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
- lmnr
- -
- RagaAI-Catalyst
- -
Runtime
- lmnr
- -
- RagaAI-Catalyst
- -
License
- lmnr
- Apache-2.0
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- lmnr
- Sep 17, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- lmnr
- Developer Tools, Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- lmnr
- Very active (96%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- lmnr
- 0d
- RagaAI-Catalyst
- 220d
Open issues (now)
- lmnr
- 115
- RagaAI-Catalyst
- 34
Stars delta
- lmnr
- +162 (30d)
- RagaAI-Catalyst
- +14 (30d)
Open issues delta
- lmnr
- +18 (30d)
- RagaAI-Catalyst
- 0 (30d)
OSV dependency advisories
- lmnr
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- lmnr
- Trust report
- RagaAI-Catalyst
- Trust report
Typed relationship
Choose lmnr if…
- lmnr is primarily TypeScript; RagaAI-Catalyst is Python.
- RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation features.
- Tags unique to lmnr: agent-observability, ai-observability, aiops, llm-observability.
- Also covers Developer Tools.
- lmnr ships Docker support for self-hosted deployment.
- Use lmnr when you need a comprehensive observability solution for AI agents that supports both self-hosting and a managed platform.
When NOT to use lmnr
- Avoid lmnr if you require a platform that does not support self-hosting or if you prefer not to use Docker Compose for deployment.
- Do not use lmnr if you are looking for a solution that is not open-source or if you need a platform that is not licensed under Apache-2.0.
- If your project does not involve AI agents or if you do not need the specific observability features provided by lmnr, consider other tools.
Choose RagaAI-Catalyst if…
- RagaAI-Catalyst is primarily Python; lmnr is TypeScript.
- RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation 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 (lmnr-ai/lmnr) · observed Sep 20, 2026
- GitHub forks (lmnr-ai/lmnr) · observed Sep 20, 2026
- Last push (lmnr-ai/lmnr) · observed Sep 17, 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: lmnr 3.3k · RagaAI-Catalyst 16k (synced Sep 20, 2026).
Common questions
- What is the difference between lmnr and RagaAI-Catalyst?
- lmnr: Laminar - open-source observability platform for AI agents. 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 lmnr over RagaAI-Catalyst?
- Choose lmnr over RagaAI-Catalyst when lmnr is primarily TypeScript; RagaAI-Catalyst is Python; RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation features; Tags unique to lmnr: agent-observability, ai-observability, aiops, llm-observability; Also covers Developer Tools; lmnr ships Docker support for self-hosted deployment; Use lmnr when you need a comprehensive observability solution for AI agents that supports both self-hosting and a managed platform.
- When should I choose RagaAI-Catalyst over lmnr?
- Choose RagaAI-Catalyst over lmnr when RagaAI-Catalyst is primarily Python; lmnr is TypeScript; RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation 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 lmnr?
- Avoid lmnr if you require a platform that does not support self-hosting or if you prefer not to use Docker Compose for deployment. Do not use lmnr if you are looking for a solution that is not open-source or if you need a platform that is not licensed under Apache-2.0. If your project does not involve AI agents or if you do not need the specific observability features provided by lmnr, consider other tools.
- 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 lmnr or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,162 vs 3,265). Stars measure visibility, not whether either tool fits your constraints.
- Are lmnr and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (lmnr: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to lmnr or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at lmnr alternatives and RagaAI-Catalyst alternatives (lmnr 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, lmnr or RagaAI-Catalyst?
- lmnr: 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 lmnr and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmnr trust report; RagaAI-Catalyst trust report.