Home/Compare/AssetOpsBench vs RagaAI-Catalyst

Comparison

AssetOpsBench vs RagaAI-Catalyst

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.

Markdown twin · AssetOpsBench alternatives · RagaAI-Catalyst alternatives

GraphCanon updated 5d

AssetOpsBench logo

AssetOpsBench

IBM/AssetOpsBench

2.1kpushed Jul 26, 2026
vs
RagaAI-Catalyst logo

RagaAI-Catalyst

raga-ai-hub/RagaAI-Catalyst

16kpushed Feb 11, 2026

Trust & integrity

SignalAssetOpsBenchRagaAI-Catalyst
Maintenance
Very active (0d since push)
As of 4w · github_public_v1
Slowing (189d since push)
As of 5d · github_public_v1
Provenance
Not a fork · Organization account
As of 4w · github_public_v1
Not a fork · Organization account
As of 5d · 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

AssetOpsBench
Framework for building and evaluating AI agents targeting Industry 4.0 asset operations
RagaAI-Catalyst
Python SDK for AI agent observability and evaluation

Stars

AssetOpsBench
2.1k
RagaAI-Catalyst
16k

Forks

AssetOpsBench
294
RagaAI-Catalyst
3.6k

Open issues

AssetOpsBench
45
RagaAI-Catalyst
34

Language

AssetOpsBench
Python
RagaAI-Catalyst
Python

Adopt for

AssetOpsBench
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
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

AssetOpsBench
-
RagaAI-Catalyst
-

Runtime

AssetOpsBench
-
RagaAI-Catalyst
-

License

AssetOpsBench
Apache-2.0
RagaAI-Catalyst
Apache-2.0

Last pushed

AssetOpsBench
Jul 26, 2026
RagaAI-Catalyst
Feb 11, 2026

Categories

AssetOpsBench
AI Agents, Evaluation & Observability
RagaAI-Catalyst
AI Agents, Evaluation & Observability

Trust and health

Maintenance

AssetOpsBench
Very active (96%)
RagaAI-Catalyst
Slowing (36%)

Days since push

AssetOpsBench
0d
RagaAI-Catalyst
189d

Open issues (now)

AssetOpsBench
45
RagaAI-Catalyst
34

Stars delta

AssetOpsBench
Unknown
RagaAI-Catalyst
+5 (30d)

Open issues delta

AssetOpsBench
Unknown
RagaAI-Catalyst
0 (30d)

OSV dependency advisories

AssetOpsBench
No lockfile (source not queried)
RagaAI-Catalyst
Published findings

Full report

AssetOpsBench
Trust report
RagaAI-Catalyst
Trust report

Shared compatibility

  • Python · AssetOpsBench: Python runtime · RagaAI-Catalyst: Python runtime

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).

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

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 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 on cards: AssetOpsBench 2.1k · RagaAI-Catalyst 16k (synced Jul 27, 2026).

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 and RagaAI-Catalyst alternatives (AssetOpsBench 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, 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; RagaAI-Catalyst trust report.

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