Comparison
clearml vs dstack
Verdict
Pick clearml if clearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform; pick dstack if dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
Markdown twin · clearml alternatives · dstack alternatives
GraphCanon updated Sep 27, 2026
21views this month
Trust & integrity
| Signal | clearml | dstack |
|---|---|---|
| Maintenance | Very active (3d since push) As of Sep 27, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 27, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | Published findings As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Sep 18, 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
- clearml
- MLOps/LLMOps solution for CI/CD in AI workloads
- dstack
- Vendor-agnostic orchestration for training, inference and agentic workloads
Stars
- clearml
- 6.9k
- dstack
- 2.3k
Forks
- clearml
- 802
- dstack
- 262
Open issues
- clearml
- 526
- dstack
- 64
Language
- clearml
- Python
- dstack
- Python
Adopt for
- clearml
- ClearML is an MLOps LLMOps solution that streamlines AI workloads through comprehensive experiment management, data handling, pipeline orchestration, and model serving under one platform.
- dstack
- dstack is a vendor-agnostic orchestration tool for AI workloads, including training, inference, and agentic tasks, across various hardware and environments.
Persona
- clearml
- -
- dstack
- -
Runtime
- clearml
- -
- dstack
- -
License
- clearml
- Apache-2.0
- dstack
- dstack is licensed under the Mozilla Public License 2.0, which is an open-source license.
Last pushed
- clearml
- Sep 23, 2026
- dstack
- Sep 17, 2026
Categories
- clearml
- Inference & Serving, Model Training
- dstack
- AI Agents, Inference & Serving, Model Training
Trust and health
Days since push
- clearml
- 3d
- dstack
- 0d
Open issues (now)
- clearml
- 526
- dstack
- 64
Stars delta
- clearml
- +86 (30d)
- dstack
- +61 (30d)
Open issues delta
- clearml
- -47 (30d)
- dstack
- +3 (30d)
OSV dependency advisories
- clearml
- Published findings
- dstack
- No lockfile (source not queried)
Full report
- clearml
- Trust report
- dstack
- Trust report
Choose clearml if…
- License: clearml is Apache-2.0, dstack is MPL-2.0.
- Tags unique to clearml: ai, clearml, control, deep-learning.
- When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects
When NOT to use clearml
- Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python
- Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions
Choose dstack if…
- License: dstack is MPL-2.0, clearml is Apache-2.0.
- 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (clearml/clearml) · observed Sep 27, 2026
- GitHub forks (clearml/clearml) · observed Sep 27, 2026
- Last push (clearml/clearml) · observed Sep 23, 2026
- License file (Apache-2.0) · observed Sep 27, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: clearml 6.9k · dstack 2.3k (synced Sep 27, 2026).
Common questions
- What is the difference between clearml and dstack?
- clearml: MLOps/LLMOps solution for CI/CD in AI workloads. dstack: Vendor-agnostic orchestration for training, inference and agentic workloads. See the comparison table for live GitHub stats and shared categories.
- When should I choose clearml over dstack?
- Choose clearml over dstack when License: clearml is Apache-2.0, dstack is MPL-2.0; Tags unique to clearml: ai, clearml, control, deep-learning; When you require a single platform for managing experiments, orchestrating pipelines, and serving models in your AI projects.
- When should I choose dstack over clearml?
- Choose dstack over clearml when License: dstack is MPL-2.0, clearml is Apache-2.0; 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 avoid clearml?
- Avoid if you need deep support for languages other than Python since ClearML is primarily built around Python Consider alternatives if your MLOps needs do not include a centralized orchestration platform, as ClearML emphasizes integrated solutions
- 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
- Is clearml or dstack more popular on GitHub?
- clearml has more GitHub stars (6,891 vs 2,253). Stars measure visibility, not whether either tool fits your constraints.
- Are clearml and dstack open source?
- Yes - both are open-source projects on GitHub (clearml: Apache-2.0, dstack: MPL-2.0).
- Where can I find alternatives to clearml or dstack?
- GraphCanon lists graph-backed alternatives at clearml alternatives and dstack alternatives (clearml markdown twin, dstack 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, clearml or dstack?
- clearml: Very active. dstack: 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 clearml and dstack?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: clearml trust report; dstack trust report.