---
title: "lmnr vs RagaAI-Catalyst"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lmnr-ai-lmnr-vs-raga-ai-hub-ragaai-catalyst"
tools: ["lmnr-ai-lmnr", "raga-ai-hub-ragaai-catalyst"]
---

# lmnr vs RagaAI-Catalyst

Neutral, constraint-first comparison with live GitHub stats.

| | [lmnr](/tools/lmnr-ai-lmnr.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) |
| --- | --- | --- |
| Tagline | Observability platform for AI agents | Python SDK for Agent AI Observability, Monitoring and Evaluation Framework |
| Stars | 3,072 | 16,145 |
| Forks | 216 | 3,579 |
| Open issues | 92 | 34 |
| Language | TypeScript | Python |
| Adopt for | <b><i>lmnr</i></b>: Open-source observability platform designed specifically for AI agents, providing tools like tracing, signal monitoring, evaluations (evals), and custom dashboards in a high-performance rust-based SDK | RagaAI-Catalyst is a Python SDK for managing, monitoring, and evaluating LLM projects. It offers extensive features including project management, dataset handling, trace management, synthetic data generation, and guardra |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Evaluation & Observability, Developer Tools | Evaluation & Observability |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [lmnr](/tools/lmnr-ai-lmnr.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Slowing (36%) |
| Days since push | 0d | 146d |
| Open issues (now) | 92 | 34 |
| Security scan | No lockfile | 156 low (156 low) |
| Full report | [trust report](/tools/lmnr-ai-lmnr/trust.md) | [trust report](/tools/raga-ai-hub-ragaai-catalyst/trust.md) |

**Typed relationship:** lmnr _(alternative)_ RagaAI-Catalyst

RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation features.

## Decision facts: lmnr

- **Adopt for:** <b><i>lmnr</i></b>: Open-source observability platform designed specifically for AI agents, providing tools like tracing, signal monitoring, evaluations (evals), and custom dashboards in a high-performance rust-based SDK

## Decision facts: RagaAI-Catalyst

- **Pricing:** freemium - The core SDK is accessible under an Apache-2.0 license, making it open-source for free use. However, advanced features, extensive support or higher rate limits may be available in a paid tier, which R
- **Requirements:** Min 4 GB RAM; Authentication is necessary to perform operations with the SDK.
- **Adopt for:** RagaAI-Catalyst is a Python SDK for managing, monitoring, and evaluating LLM projects. It offers extensive features including project management, dataset handling, trace management, synthetic data generation, and guardra

## Choose when

### 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: evaluation, aiops, monitoring, llm-evaluation.
- Also covers Developer Tools.
- lmnr ships Docker support for self-hosted deployment.
- <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application

### Choose RagaAI-Catalyst if…

- RagaAI-Catalyst is primarily Python; lmnr is TypeScript.
- Pricing: The core SDK is accessible under an Apache-2.0 license, making it open-source for free use. However, advanced features, extensive support or higher rate limits may be available in a paid tier, which R.
- Requirements: Min 4 GB RAM; Authentication is necessary to perform operations with the SDK..
- RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation features.
- Tags unique to RagaAI-Catalyst: ai-performance-optimization, ai-application-debugging, llm-tracing, ai-agent-monitoring.
- When you need comprehensive observability into your multi-agent AI systems with agentic tracing.

## When NOT to use lmnr

- <ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for.
- <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li>
- ],

## When NOT to use RagaAI-Catalyst

- If you only require basic monitoring tools without the need for advanced trace management or synthetic data generation capabilities.
- When your primary goal is to use a standalone tool for dataset management, as RagaAI-Catalyst integrates multiple functionalities beyond just datasets.
- For environments where self-hosting of dashboards and real-time analytics are not feasible or desired.

## Common questions

### What is the difference between lmnr and RagaAI-Catalyst?

lmnr: Observability platform for AI agents. RagaAI-Catalyst: Python SDK for Agent AI Observability, Monitoring and Evaluation Framework. 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: evaluation, aiops, monitoring, llm-evaluation; Also covers Developer Tools; lmnr ships Docker support for self-hosted deployment; <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application.

### When should I choose RagaAI-Catalyst over lmnr?

Choose RagaAI-Catalyst over lmnr when RagaAI-Catalyst is primarily Python; lmnr is TypeScript; Pricing: The core SDK is accessible under an Apache-2.0 license, making it open-source for free use. However, advanced features, extensive support or higher rate limits may be available in a paid tier, which R; Requirements: Min 4 GB RAM; Authentication is necessary to perform operations with the SDK.; RagaAI Catalyst and lmnr both serve as observability platforms for AI agents, providing monitoring and evaluation features; Tags unique to RagaAI-Catalyst: ai-performance-optimization, ai-application-debugging, llm-tracing, ai-agent-monitoring; When you need comprehensive observability into your multi-agent AI systems with agentic tracing.

### When should I avoid lmnr?

<ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for. <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li> ],

### When should I avoid RagaAI-Catalyst?

If you only require basic monitoring tools without the need for advanced trace management or synthetic data generation capabilities. When your primary goal is to use a standalone tool for dataset management, as RagaAI-Catalyst integrates multiple functionalities beyond just datasets. For environments where self-hosting of dashboards and real-time analytics are not feasible or desired.

### Is lmnr or RagaAI-Catalyst more popular on GitHub?

RagaAI-Catalyst has more GitHub stars (16,145 vs 3,072). 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 /tools/lmnr-ai-lmnr/alternatives and /tools/raga-ai-hub-ragaai-catalyst/alternatives (/tools/lmnr-ai-lmnr/alternatives.md, /tools/raga-ai-hub-ragaai-catalyst/alternatives.md), ranked by typed relationship edges rather than popularity votes.

### Is there a machine-readable version of this comparison?

Yes. The markdown twin at /compare/lmnr-ai-lmnr-vs-raga-ai-hub-ragaai-catalyst.md 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: /tools/lmnr-ai-lmnr/trust; RagaAI-Catalyst: /tools/raga-ai-hub-ragaai-catalyst/trust.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lmnr-ai-lmnr`](/api/graphcanon/graph?tool=lmnr-ai-lmnr)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_