--- title: "AssetOpsBench vs RagaAI-Catalyst" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ibm-assetopsbench-vs-raga-ai-hub-ragaai-catalyst" tools: ["ibm-assetopsbench", "raga-ai-hub-ragaai-catalyst"] --- # AssetOpsBench vs RagaAI-Catalyst *GraphCanon updated Aug 20, 2026* ## Verdict Pick AssetOpsBench if assetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management; 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. [AssetOpsBench](https://github.com/IBM/AssetOpsBench) reports 2.1k GitHub stars, 294 forks, and 45 open issues, last pushed Jul 26, 2026. [RagaAI-Catalyst](https://catalyst.raga.ai/) has 16k stars, 3.6k forks, and 34 open issues, last pushed Feb 11, 2026. Figures are from public GitHub metadata via [AssetOpsBench's repository](https://github.com/IBM/AssetOpsBench) and [RagaAI-Catalyst's repository](https://github.com/raga-ai-hub/RagaAI-Catalyst). | | [AssetOpsBench](/tools/ibm-assetopsbench.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Tagline | Framework for building and evaluating AI agents targeting Industry 4.0 asset operations | Python SDK for AI agent observability and evaluation | | Stars | 2,069 | 16,148 | | Forks | 294 | 3,565 | | Open issues | 45 | 34 | | Language | Python | Python | | Adopt for | AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management. | 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 | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AssetOpsBench](/tools/ibm-assetopsbench.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 189d | | Open issues (now) | 45 | 34 | | Stars delta | Unknown | +5 (30d) | | Open issues delta | Unknown | 0 (30d) | | Full report | [trust report](/tools/ibm-assetopsbench/trust.md) | [trust report](/tools/raga-ai-hub-ragaai-catalyst/trust.md) | ## Shared compatibility - **Python**: [AssetOpsBench](/tools/ibm-assetopsbench.md) - Python runtime; [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) - Python runtime ## Decision facts: AssetOpsBench - **Adopt for:** AssetOpsBench is a specialized framework for developing and evaluating AI agents in Industry 4.0 contexts, with an emphasis on operations and maintenance scenarios including HVAC systems and IoT management. ## Decision facts: RagaAI-Catalyst - **Adopt for:** 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 ## Choose when ### Choose AssetOpsBench if… - Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot. - When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments - More recently updated (last pushed Jul 26, 2026). ### Choose RagaAI-Catalyst if… - Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents. - When you need comprehensive tools for the observability of complex multi-agentic systems. - More GitHub stars (16k vs 2.1k) - visibility, not fit. ## When NOT to use AssetOpsBench - If your project focus is on general-purpose AI outside the domain-specific context of industrial operations - Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management ## 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. ## Common questions ### What is the difference between AssetOpsBench and RagaAI-Catalyst? AssetOpsBench: Framework for building and evaluating AI agents targeting Industry 4.0 asset operations. 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 AssetOpsBench over RagaAI-Catalyst? Choose AssetOpsBench over RagaAI-Catalyst when Tags unique to AssetOpsBench: ai-for-physical-assets, condition-based-maintenance, hvac-maintenance, iot; When you need detailed evaluation frameworks for multiple types of AI agents operating in industry environments; More recently updated (last pushed Jul 26, 2026). ### When should I choose RagaAI-Catalyst over AssetOpsBench? Choose RagaAI-Catalyst over AssetOpsBench when Tags unique to RagaAI-Catalyst: agentic-ai, agentic-ai-development, agentneo, agents; When you need comprehensive tools for the observability of complex multi-agentic systems; More GitHub stars (16k vs 2.1k) - visibility, not fit. ### When should I avoid AssetOpsBench? If your project focus is on general-purpose AI outside the domain-specific context of industrial operations Do not use if you require real-time agent orchestration without any emphasis on condition-based or predictive maintenance in asset management ### 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 AssetOpsBench or RagaAI-Catalyst more popular on GitHub? RagaAI-Catalyst has more GitHub stars (16,148 vs 2,069). Stars measure visibility, not whether either tool fits your constraints. ### Are AssetOpsBench and RagaAI-Catalyst open source? Yes - both are open-source projects on GitHub (AssetOpsBench: Apache-2.0, RagaAI-Catalyst: Apache-2.0). ### Where can I find alternatives to AssetOpsBench or RagaAI-Catalyst? GraphCanon lists graph-backed alternatives at [AssetOpsBench alternatives](/tools/ibm-assetopsbench/alternatives) and [RagaAI-Catalyst alternatives](/tools/raga-ai-hub-ragaai-catalyst/alternatives) ([AssetOpsBench markdown twin](/tools/ibm-assetopsbench/alternatives.md), [RagaAI-Catalyst markdown twin](/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 [this comparison](/compare/ibm-assetopsbench-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, AssetOpsBench or RagaAI-Catalyst? AssetOpsBench: 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 AssetOpsBench and RagaAI-Catalyst? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [AssetOpsBench trust report](/tools/ibm-assetopsbench/trust); [RagaAI-Catalyst trust report](/tools/raga-ai-hub-ragaai-catalyst/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ibm-assetopsbench`](/api/graphcanon/graph?tool=ibm-assetopsbench) - 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/_