Comparison
Kiln vs RagaAI-Catalyst
Verdict
Pick Kiln if kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes; 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 · Kiln alternatives · RagaAI-Catalyst alternatives
GraphCanon updated 3d
vs
Trust & integrity
| Signal | Kiln | RagaAI-Catalyst |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1mo · github_public_v1 | Slowing (189d since push) As of 3d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1mo · github_public_v1 | Not a fork · Organization account As of 3d · 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
- Kiln
- Build, Evaluate, and Optimize AI Systems
- RagaAI-Catalyst
- Python SDK for AI agent observability and evaluation
Stars
- Kiln
- 5.0k
- RagaAI-Catalyst
- 16k
Forks
- Kiln
- 374
- RagaAI-Catalyst
- 3.6k
Open issues
- Kiln
- 66
- RagaAI-Catalyst
- 34
Language
- Kiln
- Python
- RagaAI-Catalyst
- Python
Adopt for
- Kiln
- Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes.
- 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
- Kiln
- -
- RagaAI-Catalyst
- -
Runtime
- Kiln
- -
- RagaAI-Catalyst
- -
License
- Kiln
- Other
- RagaAI-Catalyst
- Apache-2.0
Last pushed
- Kiln
- Jul 23, 2026
- RagaAI-Catalyst
- Feb 11, 2026
Categories
- Kiln
- AI Agents, Data & Retrieval, Evaluation & Observability, Model Training
- RagaAI-Catalyst
- AI Agents, Evaluation & Observability
Trust and health
Maintenance
- Kiln
- Very active (96%)
- RagaAI-Catalyst
- Slowing (36%)
Days since push
- Kiln
- 0d
- RagaAI-Catalyst
- 189d
Open issues (now)
- Kiln
- 66
- RagaAI-Catalyst
- 34
Stars delta
- Kiln
- Unknown
- RagaAI-Catalyst
- +5 (30d)
Open issues delta
- Kiln
- Unknown
- RagaAI-Catalyst
- 0 (30d)
OSV dependency advisories
- Kiln
- No lockfile (source not queried)
- RagaAI-Catalyst
- Published findings
Full report
- Kiln
- Trust report
- RagaAI-Catalyst
- Trust report
Shared compatibility
- Python · Kiln: Python runtime · RagaAI-Catalyst: Python runtime
Choose Kiln if…
- License: Kiln is Other, RagaAI-Catalyst is Apache-2.0.
- Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation.
- Also covers Data & Retrieval, Model Training.
- When you need extensive tools for evaluating custom AI agents
When NOT to use Kiln
- If your project strictly requires a lightweight tool without comprehensive dataset management options
- Avoid if you do not require advanced synthetic data generation capabilities
Choose RagaAI-Catalyst if…
- License: RagaAI-Catalyst is Apache-2.0, Kiln is Other.
- 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 (Kiln-AI/Kiln) · observed Jul 24, 2026
- GitHub forks (Kiln-AI/Kiln) · observed Jul 24, 2026
- Last push (Kiln-AI/Kiln) · observed Jul 23, 2026
- License file (Other) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (raga-ai-hub/RagaAI-Catalyst) · observed Aug 20, 2026
- GitHub forks (raga-ai-hub/RagaAI-Catalyst) · observed Aug 20, 2026
- Last push (raga-ai-hub/RagaAI-Catalyst) · observed Feb 11, 2026
- License file (Apache-2.0) · observed Aug 20, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Kiln 5.0k · RagaAI-Catalyst 16k (synced Jul 24, 2026).
Common questions
- What is the difference between Kiln and RagaAI-Catalyst?
- Kiln: Build, Evaluate, and Optimize AI Systems. 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 Kiln over RagaAI-Catalyst?
- Choose Kiln over RagaAI-Catalyst when License: Kiln is Other, RagaAI-Catalyst is Apache-2.0; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers Data & Retrieval, Model Training; When you need extensive tools for evaluating custom AI agents.
- When should I choose RagaAI-Catalyst over Kiln?
- Choose RagaAI-Catalyst over Kiln when License: RagaAI-Catalyst is Apache-2.0, Kiln is Other; 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 Kiln?
- If your project strictly requires a lightweight tool without comprehensive dataset management options Avoid if you do not require advanced synthetic data generation capabilities
- 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 Kiln or RagaAI-Catalyst more popular on GitHub?
- RagaAI-Catalyst has more GitHub stars (16,148 vs 4,971). Stars measure visibility, not whether either tool fits your constraints.
- Are Kiln and RagaAI-Catalyst open source?
- Yes - both are open-source projects on GitHub (Kiln: Other, RagaAI-Catalyst: Apache-2.0).
- Where can I find alternatives to Kiln or RagaAI-Catalyst?
- GraphCanon lists graph-backed alternatives at Kiln alternatives and RagaAI-Catalyst alternatives (Kiln 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, Kiln or RagaAI-Catalyst?
- Kiln: 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 Kiln and RagaAI-Catalyst?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kiln trust report; RagaAI-Catalyst trust report.