Comparison
dstack vs Kiln
Verdict
Pick dstack if dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments; 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.
Markdown twin · dstack alternatives · Kiln alternatives
GraphCanon updated Sep 20, 2026
12views this month
Trust & integrity
| Signal | dstack | Kiln |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 | Very active (0d since push) As of Sep 19, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 19, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Sep 18, 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
- dstack
- Vendor-agnostic orchestration for training, inference and agentic workloads
- Kiln
- Build, Evaluate, and Optimize AI Systems
Stars
- dstack
- 2.3k
- Kiln
- 5.1k
Forks
- dstack
- 262
- Kiln
- 380
Open issues
- dstack
- 64
- Kiln
- 72
Language
- dstack
- Python
- Kiln
- Python
Adopt for
- dstack
- dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
- Kiln
- Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes.
Persona
- dstack
- -
- Kiln
- -
Runtime
- dstack
- -
- Kiln
- -
License
- dstack
- dstack is licensed under the Mozilla Public License 2.0, which is an open-source license.
- Kiln
- Other
Last pushed
- dstack
- Sep 17, 2026
- Kiln
- Sep 19, 2026
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- Kiln
- AI Agents, Data & Retrieval, Evaluation & Observability, Model Training
Trust and health
Open issues (now)
- dstack
- 64
- Kiln
- 72
Stars delta
- dstack
- +61 (30d)
- Kiln
- +105 (30d)
Open issues delta
- dstack
- +3 (30d)
- Kiln
- +6 (30d)
Full report
- dstack
- Trust report
- Kiln
- Trust report
Choose dstack if…
- License: dstack is MPL-2.0, Kiln is Other.
- Pricing: The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee..
- Requirements: Requires Docker; Requires Git and OpenSSH for CLI installation and configuration..
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers Inference & Serving.
- When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.
When NOT to use dstack
- If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic.
- When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source.
- If your team does not have the capability to install and configure the dstack CLI, which requires Git and OpenSSH, and involves setting up a server and configuring it with a user token and project URL
Choose Kiln if…
- License: Kiln is Other, dstack is MPL-2.0.
- Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation.
- Also covers Data & Retrieval, Evaluation & Observability.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dstackai/dstack) · observed Sep 20, 2026
- GitHub forks (dstackai/dstack) · observed Sep 20, 2026
- Last push (dstackai/dstack) · observed Sep 17, 2026
- License file (MPL-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
- 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 on cards: dstack 2.3k · Kiln 5.1k (synced Sep 20, 2026).
Common questions
- What is the difference between dstack and Kiln?
- dstack: Vendor-agnostic orchestration for training, inference and agentic workloads. Kiln: Build, Evaluate, and Optimize AI Systems. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over Kiln?
- Choose dstack over Kiln when License: dstack is MPL-2.0, Kiln is Other; Pricing: The core functionality of dstack is free and open-source under the Mozilla Public License 2.0. Additional services or support may be available for a fee.; Requirements: Requires Docker; Requires Git and OpenSSH for CLI installation and configuration.; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers Inference & Serving; When you need orchestration for AI workloads that can run on a variety of hardware like NVIDIA, AMD, TPU, and Tenstorrent, and across different environments such as clouds, Kubernetes, and bare metal.
- When should I choose Kiln over dstack?
- Choose Kiln over dstack when License: Kiln is Other, dstack is MPL-2.0; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers Data & Retrieval, Evaluation & Observability; When you need extensive tools for evaluating custom AI agents.
- When should I avoid dstack?
- If you are looking for a tool that is tightly integrated with a specific cloud provider or hardware vendor, as dstack is designed to be vendor-agnostic. When your project strictly requires proprietary licensing, as dstack is licensed under the Mozilla Public License 2.0, which is open source. If your team does not have the capability to install and configure the dstack CLI, which requires Git and OpenSSH, and involves setting up a server and configuring it with a user token and project URL
- 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
- Is dstack or Kiln more popular on GitHub?
- Kiln has more GitHub stars (5,076 vs 2,253). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and Kiln open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, Kiln: Other).
- Where can I find alternatives to dstack or Kiln?
- GraphCanon lists graph-backed alternatives at dstack alternatives and Kiln alternatives (dstack markdown twin, Kiln 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, dstack or Kiln?
- dstack: Very active. Kiln: Very active. 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 dstack and Kiln?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; Kiln trust report.