Comparison
dstack vs aikit
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 aikit if aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
Markdown twin · dstack alternatives · aikit alternatives
GraphCanon updated Sep 20, 2026
16views this month
Trust & integrity
| Signal | dstack | aikit |
|---|---|---|
| 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
- aikit
- Fine-tune, build, and deploy open-source LLMs easily!
Stars
- dstack
- 2.3k
- aikit
- 539
Forks
- dstack
- 262
- aikit
- 57
Open issues
- dstack
- 64
- aikit
- 37
Language
- dstack
- Python
- aikit
- Go
Adopt for
- dstack
- dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
- aikit
- Aikit is a toolkit designed for fine-tuning, building and deploying large language models (LLMs) with an emphasis on open-source technologies.
Persona
- dstack
- -
- aikit
- -
Runtime
- dstack
- -
- aikit
- -
License
- dstack
- dstack is licensed under the Mozilla Public License 2.0, which is an open-source license.
- aikit
- MIT
Last pushed
- dstack
- Sep 17, 2026
- aikit
- Sep 18, 2026
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- aikit
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Open issues (now)
- dstack
- 64
- aikit
- 37
Stars delta
- dstack
- +61 (30d)
- aikit
- +5 (30d)
Open issues delta
- dstack
- +3 (30d)
- aikit
- -6 (30d)
Full report
- dstack
- Trust report
- aikit
- Trust report
Choose dstack if…
- dstack is primarily Python; aikit is Go.
- License: dstack is MPL-2.0, aikit is MIT.
- 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 AI Agents.
- 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 aikit if…
- aikit is primarily Go; dstack is Python.
- License: aikit is MIT, dstack is MPL-2.0.
- Tags unique to aikit: ai, buildkit, chatgpt, finetuning.
- Also covers LLM Frameworks.
- aikit ships Docker support for self-hosted deployment.
- - You need a flexible solution specifically built using Go and prefer its concurrency model.
When NOT to use aikit
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit.
- - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
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 (kaito-project/aikit) · observed Sep 20, 2026
- GitHub forks (kaito-project/aikit) · observed Sep 20, 2026
- Last push (kaito-project/aikit) · observed Sep 18, 2026
- License file (MIT) · 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 · aikit 539 (synced Sep 20, 2026).
Common questions
- What is the difference between dstack and aikit?
- dstack: Vendor-agnostic orchestration for training, inference and agentic workloads. aikit: Fine-tune, build, and deploy open-source LLMs easily!. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over aikit?
- Choose dstack over aikit when dstack is primarily Python; aikit is Go; License: dstack is MPL-2.0, aikit is MIT; 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 AI Agents; 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 aikit over dstack?
- Choose aikit over dstack when aikit is primarily Go; dstack is Python; License: aikit is MIT, dstack is MPL-2.0; Tags unique to aikit: ai, buildkit, chatgpt, finetuning; Also covers LLM Frameworks; aikit ships Docker support for self-hosted deployment; - You need a flexible solution specifically built using Go and prefer its concurrency model.
- 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 aikit?
- - You have a preference or requirement for Python-based tools due to the lack of native support in Aikit. - If your deployment setup strictly uses cloud-specific platforms and you do not use Kubernetes or Docker, as Aikit heavily integrates with containerized environments like these.
- Is dstack or aikit more popular on GitHub?
- dstack has more GitHub stars (2,253 vs 539). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and aikit open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, aikit: MIT).
- Where can I find alternatives to dstack or aikit?
- GraphCanon lists graph-backed alternatives at dstack alternatives and aikit alternatives (dstack markdown twin, aikit 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 aikit?
- dstack: Very active. aikit: 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 aikit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; aikit trust report.