--- title: "audited-change-gate vs RagaAI-Catalyst" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/christoansek-audited-change-gate-vs-raga-ai-hub-ragaai-catalyst" tools: ["christoansek-audited-change-gate", "raga-ai-hub-ragaai-catalyst"] --- # audited-change-gate vs RagaAI-Catalyst *GraphCanon updated Jul 15, 2026* ## Verdict Pick audited-change-gate if audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees; 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. [audited-change-gate](https://github.com/ChristoAnsek/audited-change-gate) reports 151 GitHub stars, 0 forks, and 0 open issues, last pushed Jul 15, 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 [audited-change-gate's repository](https://github.com/ChristoAnsek/audited-change-gate) and [RagaAI-Catalyst's repository](https://github.com/raga-ai-hub/RagaAI-Catalyst). | | [audited-change-gate](/tools/christoansek-audited-change-gate.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Tagline | Automated Change Management for AIOps | Python SDK for AI agent observability and evaluation | | Stars | 151 | 16,145 | | Forks | 0 | 3,576 | | Open issues | 0 | 34 | | Language | HTML | Python | | Adopt for | audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees. | 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 | | Categories | AI Agents, Evaluation & Observability | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [audited-change-gate](/tools/christoansek-audited-change-gate.md) | [RagaAI-Catalyst](/tools/raga-ai-hub-ragaai-catalyst.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 149d | | Open issues (now) | 0 | 34 | | Owner type | User | Organization | | Full report | [trust report](/tools/christoansek-audited-change-gate/trust.md) | [trust report](/tools/raga-ai-hub-ragaai-catalyst/trust.md) | ## Decision facts: audited-change-gate - **Adopt for:** audited-change-gate automates proof-carrying change management for AIOps, ensuring autonomous agents can safely apply infrastructure changes with rollback guarantees. ## 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 audited-change-gate if… - audited-change-gate is primarily HTML; RagaAI-Catalyst is Python. - Tags unique to audited-change-gate: ai-agents, ai-safety, change-management, verification. - - You require automated validation and execution of infrastructure changes by authorized AI agents ### Choose RagaAI-Catalyst if… - RagaAI-Catalyst is primarily Python; audited-change-gate is HTML. - Tags unique to RagaAI-Catalyst: agentic-ai-development, agentneo, agents, ai-agent-monitoring. - When you need comprehensive tools for the observability of complex multi-agentic systems. ## When NOT to use audited-change-gate - - If your infrastructure changes need real-time human approval beyond automated checks - - For environments where change immutability is preferred over mutable and reversible states ## 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 audited-change-gate and RagaAI-Catalyst? audited-change-gate: Automated Change Management for AIOps. 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 audited-change-gate over RagaAI-Catalyst? Choose audited-change-gate over RagaAI-Catalyst when audited-change-gate is primarily HTML; RagaAI-Catalyst is Python; Tags unique to audited-change-gate: ai-agents, ai-safety, change-management, verification; - You require automated validation and execution of infrastructure changes by authorized AI agents. ### When should I choose RagaAI-Catalyst over audited-change-gate? Choose RagaAI-Catalyst over audited-change-gate when RagaAI-Catalyst is primarily Python; audited-change-gate is HTML; Tags unique to RagaAI-Catalyst: agentic-ai-development, agentneo, agents, ai-agent-monitoring; When you need comprehensive tools for the observability of complex multi-agentic systems. ### When should I avoid audited-change-gate? - If your infrastructure changes need real-time human approval beyond automated checks - For environments where change immutability is preferred over mutable and reversible states ### 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 audited-change-gate or RagaAI-Catalyst more popular on GitHub? RagaAI-Catalyst has more GitHub stars (16,145 vs 151). Stars measure visibility, not whether either tool fits your constraints. ### Are audited-change-gate and RagaAI-Catalyst open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to audited-change-gate or RagaAI-Catalyst? GraphCanon lists graph-backed alternatives at [audited-change-gate alternatives](/tools/christoansek-audited-change-gate/alternatives) and [RagaAI-Catalyst alternatives](/tools/raga-ai-hub-ragaai-catalyst/alternatives) ([audited-change-gate markdown twin](/tools/christoansek-audited-change-gate/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/christoansek-audited-change-gate-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, audited-change-gate or RagaAI-Catalyst? audited-change-gate: 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 audited-change-gate and RagaAI-Catalyst? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [audited-change-gate trust report](/tools/christoansek-audited-change-gate/trust); [RagaAI-Catalyst trust report](/tools/raga-ai-hub-ragaai-catalyst/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=christoansek-audited-change-gate`](/api/graphcanon/graph?tool=christoansek-audited-change-gate) - 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/_