Home/Compare/invariant-gateway vs RagaAI-Catalyst

Comparison

invariant-gateway vs RagaAI-Catalyst

Verdict

Pick invariant-gateway if the invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations; 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 · invariant-gateway alternatives · RagaAI-Catalyst alternatives

GraphCanon updated Sep 20, 2026

20views this month

invariant-gateway logo

invariant-gateway

invariantlabs-ai/invariant-gateway

80pushed Nov 6, 2025
vs
RagaAI-Catalyst logo

RagaAI-Catalyst

raga-ai-hub/RagaAI-Catalyst

16kpushed Feb 11, 2026

Trust & integrity

Signalinvariant-gatewayRagaAI-Catalyst
Maintenance
Slowing (310d since push)
As of Sep 13, 2026 · github_public_v1
Slowing (189d since push)
As of Aug 20, 2026 · github_public_v1
Provenance
Not a fork · Organization account
As of Sep 13, 2026 · github_public_v1
Not a fork · Organization account
As of Aug 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

invariant-gateway
LLM proxy for observing and debugging AI agent activities
RagaAI-Catalyst
Python SDK for AI agent observability and evaluation

Stars

invariant-gateway
80
RagaAI-Catalyst
16k

Forks

invariant-gateway
9
RagaAI-Catalyst
3.6k

Open issues

invariant-gateway
1
RagaAI-Catalyst
34

Language

invariant-gateway
Python
RagaAI-Catalyst
Python

Adopt for

invariant-gateway
The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations.
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

invariant-gateway
-
RagaAI-Catalyst
-

Runtime

invariant-gateway
-
RagaAI-Catalyst
-

License

invariant-gateway
Apache-2.0
RagaAI-Catalyst
Apache-2.0

Last pushed

invariant-gateway
Nov 6, 2025
RagaAI-Catalyst
Feb 11, 2026

Categories

invariant-gateway
AI Agents, Evaluation & Observability
RagaAI-Catalyst
AI Agents, Evaluation & Observability

Trust and health

Days since push

invariant-gateway
310d
RagaAI-Catalyst
189d

Open issues (now)

invariant-gateway
1
RagaAI-Catalyst
34

Stars delta

invariant-gateway
+2 (30d)
RagaAI-Catalyst
+5 (30d)

OSV dependency advisories

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

Full report

invariant-gateway
Trust report
RagaAI-Catalyst
Trust report

Choose invariant-gateway if…

  • Tags unique to invariant-gateway: ai-agents, debugging, guardrails, llm.
  • If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;
  • Leaner open-issue backlog (1).

When NOT to use invariant-gateway

  • In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications;
  • For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;

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 80) - 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: invariant-gateway 80 · RagaAI-Catalyst 16k (synced Sep 20, 2026).

Common questions

What is the difference between invariant-gateway and RagaAI-Catalyst?
invariant-gateway: LLM proxy for observing and debugging AI agent activities. 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 invariant-gateway over RagaAI-Catalyst?
Choose invariant-gateway over RagaAI-Catalyst when Tags unique to invariant-gateway: ai-agents, debugging, guardrails, llm; If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;; Leaner open-issue backlog (1).
When should I choose RagaAI-Catalyst over invariant-gateway?
Choose RagaAI-Catalyst over invariant-gateway 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 80) - visibility, not fit.
When should I avoid invariant-gateway?
In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications; For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;
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 invariant-gateway or RagaAI-Catalyst more popular on GitHub?
RagaAI-Catalyst has more GitHub stars (16,148 vs 80). Stars measure visibility, not whether either tool fits your constraints.
Are invariant-gateway and RagaAI-Catalyst open source?
Yes - both are open-source projects on GitHub (invariant-gateway: Apache-2.0, RagaAI-Catalyst: Apache-2.0).
Where can I find alternatives to invariant-gateway or RagaAI-Catalyst?
GraphCanon lists graph-backed alternatives at invariant-gateway alternatives and RagaAI-Catalyst alternatives (invariant-gateway 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, invariant-gateway or RagaAI-Catalyst?
invariant-gateway: Slowing. 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 invariant-gateway and RagaAI-Catalyst?
GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: invariant-gateway trust report; RagaAI-Catalyst trust report.

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