Comparison
agentops vs RagaAI-Catalyst
Verdict
Pick agentops if agentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage; 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 · agentops alternatives · RagaAI-Catalyst alternatives
GraphCanon updated Sep 20, 2026
10views this month
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Trust & integrity
| Signal | agentops | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Steady (86d since push) As of Sep 20, 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 20, 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 Jul 15, 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
- agentops
- Python SDK for AI agent monitoring and LLM cost tracking
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- agentops
- 5.8k
- RagaAI-Catalyst
- 16k
Forks
- agentops
- 625
- RagaAI-Catalyst
- 3.6k
Open issues
- agentops
- 184
- RagaAI-Catalyst
- 34
Language
- agentops
- Python
- RagaAI-Catalyst
- Python
Adopt for
- agentops
- AgentOps is an open-source Python toolkit for monitoring AI agents and tracking costs associated with Large Language Model usage.
- 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
- agentops
- -
- RagaAI-Catalyst
- -
Runtime
- agentops
- -
- RagaAI-Catalyst
- -
License
- agentops
- MIT
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- agentops
- Jun 25, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- agentops
- AI Agents, Evaluation & Observability
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- agentops
- Steady (60%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- agentops
- 86d
- RagaAI-Catalyst
- 220d
Open issues (now)
- agentops
- 184
- RagaAI-Catalyst
- 34
Stars delta
- agentops
- +59 (30d)
- RagaAI-Catalyst
- +14 (30d)
Open issues delta
- agentops
- +8 (30d)
- RagaAI-Catalyst
- 0 (30d)
OSV dependency advisories
- agentops
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- agentops
- Trust report
- RagaAI-Catalyst
- Trust report
Shared compatibility
- Python · agentops: Python runtime · RagaAI-Catalyst: Python runtime
Choose agentops if…
- License: agentops is MIT, RagaAI-Catalyst is Apache-2.0.
- Tags unique to agentops: ai-agents, benchmarking, cost-tracking.
- Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK
When NOT to use agentops
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI
- In case self-hosting of components is impractical due to resource constraints
Choose RagaAI-Catalyst if…
- License: RagaAI-Catalyst is Apache-2.0, agentops is MIT.
- 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.
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 (AgentOps-AI/agentops) · observed Sep 20, 2026
- GitHub forks (AgentOps-AI/agentops) · observed Sep 20, 2026
- Last push (AgentOps-AI/agentops) · observed Jun 25, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 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: agentops 5.8k · RagaAI-Catalyst 16k (synced Sep 20, 2026).
Common questions
- What is the difference between agentops and RagaAI-Catalyst?
- agentops: Python SDK for AI agent monitoring and LLM cost tracking. 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 agentops over RagaAI-Catalyst?
- Choose agentops over RagaAI-Catalyst when License: agentops is MIT, RagaAI-Catalyst is Apache-2.0; Tags unique to agentops: ai-agents, benchmarking, cost-tracking; Integrations are needed specifically with Langchain, CrewAI, or OpenAI Agents SDK.
- When should I choose RagaAI-Catalyst over agentops?
- Choose RagaAI-Catalyst over agentops when License: RagaAI-Catalyst is Apache-2.0, agentops is MIT; 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.
- When should I avoid agentops?
- If specific integration support is needed for frameworks not listed including Autogen AG2 CamelAI In case self-hosting of components is impractical due to resource constraints
- 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 agentops or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,162 vs 5,830). Stars measure visibility, not whether either tool fits your constraints.
- Are agentops and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (agentops: MIT, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to agentops or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at agentops alternatives and RagaAI-Catalyst alternatives (agentops 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, agentops or RagaAI-Catalyst?
- agentops: Steady. 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 agentops and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentops trust report; RagaAI-Catalyst trust report.