Comparison
Kiln vs starwhale
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 starwhale if starwhale is an MLOps/LLMOps platform that focuses on model management for AI and large language models through various runtime setups.
Markdown twin · Kiln alternatives · starwhale alternatives
GraphCanon updated Sep 29, 2026
6views this month
Trust & integrity
| Signal | Kiln | starwhale |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 | Dormant (648d since push) As of Sep 29, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 29, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) 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
- Kiln
- Build, Evaluate, and Optimize AI Systems
- starwhale
- an MLOps/LLMOps platform
Stars
- Kiln
- 5.1k
- starwhale
- 236
Forks
- Kiln
- 380
- starwhale
- 37
Open issues
- Kiln
- 72
- starwhale
- 120
Language
- Kiln
- Python
- starwhale
- Java
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.
- starwhale
- Starwhale is an MLOps/LLMOps platform that focuses on model management for AI and large language models through various runtime setups.
Persona
- Kiln
- -
- starwhale
- -
Runtime
- Kiln
- -
- starwhale
- -
License
- Kiln
- Other
- starwhale
- Starwhale uses the Apache License 2.0, which is permissive and allows for usage in both open source and commercial applications with attribution.
Last pushed
- Kiln
- Sep 19, 2026
- starwhale
- Dec 20, 2024
Categories
- Kiln
- AI Agents, Data & Retrieval, Evaluation & Observability, Model Training
- starwhale
- Data & Retrieval, Evaluation & Observability, Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- Kiln
- Very active (96%)
- starwhale
- Dormant (18%)
Days since push
- Kiln
- 0d
- starwhale
- 648d
Open issues (now)
- Kiln
- 72
- starwhale
- 120
Stars delta
- Kiln
- +105 (30d)
- starwhale
- -1 (30d)
Open issues delta
- Kiln
- +6 (30d)
- starwhale
- 0 (30d)
Full report
- Kiln
- Trust report
- starwhale
- Trust report
Choose Kiln if…
- Kiln is primarily Python; starwhale is Java.
- License: Kiln is Other, starwhale is Apache-2.0.
- Tags unique to Kiln: chain-of-thought, collaboration, dataset-generation, evals.
- Also covers AI Agents.
- 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 starwhale if…
- starwhale is primarily Java; Kiln is Python.
- License: starwhale is Apache-2.0, Kiln is Other.
- Requirements: Requires Docker; Supports runtime builds through Docker images for compatibility across various system environments..
- Tags unique to starwhale: cloud-native, dataset, datastore, infra.
- Also covers Inference & Serving, LLM Frameworks.
- When the need arises to manage models across different runtimes, including local environment configurations via runtime.yaml or conda environments, Docker images, or shell commands.
When NOT to use starwhale
- In scenarios where an exclusive user preference leans towards Python-based operations over Java and the tool's CLI interactions do not meet operational demands.
- For teams that require real-time model serving and have strict latency requirements, as Starwhale may not optimize for such use cases beyond its MLOps capabilities.
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 Sep 20, 2026
- GitHub forks (Kiln-AI/Kiln) · observed Sep 20, 2026
- Last push (Kiln-AI/Kiln) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (star-whale/starwhale) · observed Sep 29, 2026
- GitHub forks (star-whale/starwhale) · observed Sep 29, 2026
- Last push (star-whale/starwhale) · observed Dec 20, 2024
- License file (Apache-2.0) · observed Sep 29, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Kiln 5.1k · starwhale 236 (synced Sep 20, 2026).
Common questions
- What is the difference between Kiln and starwhale?
- Kiln: Build, Evaluate, and Optimize AI Systems. starwhale: an MLOps/LLMOps platform. See the comparison table for live GitHub stats and shared categories.
- When should I choose Kiln over starwhale?
- Choose Kiln over starwhale when Kiln is primarily Python; starwhale is Java; License: Kiln is Other, starwhale is Apache-2.0; Tags unique to Kiln: chain-of-thought, collaboration, dataset-generation, evals; Also covers AI Agents; When you need extensive tools for evaluating custom AI agents.
- When should I choose starwhale over Kiln?
- Choose starwhale over Kiln when starwhale is primarily Java; Kiln is Python; License: starwhale is Apache-2.0, Kiln is Other; Requirements: Requires Docker; Supports runtime builds through Docker images for compatibility across various system environments.; Tags unique to starwhale: cloud-native, dataset, datastore, infra; Also covers Inference & Serving, LLM Frameworks; When the need arises to manage models across different runtimes, including local environment configurations via runtime.yaml or conda environments, Docker images, or shell commands.
- 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 starwhale?
- In scenarios where an exclusive user preference leans towards Python-based operations over Java and the tool's CLI interactions do not meet operational demands. For teams that require real-time model serving and have strict latency requirements, as Starwhale may not optimize for such use cases beyond its MLOps capabilities.
- Is Kiln or starwhale more popular on GitHub?
- Kiln has more GitHub stars (5,076 vs 236). Stars measure visibility, not whether either tool fits your constraints.
- Are Kiln and starwhale open source?
- Yes - both are open-source projects on GitHub (Kiln: Other, starwhale: Apache-2.0).
- Where can I find alternatives to Kiln or starwhale?
- GraphCanon lists graph-backed alternatives at Kiln alternatives and starwhale alternatives (Kiln markdown twin, starwhale 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 starwhale?
- Kiln: Very active. starwhale: Dormant. 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 starwhale?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Kiln trust report; starwhale trust report.