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 vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
Markdown twin · clearml alternatives · dstack alternatives
GraphCanon updated 2w
Trust & integrity
| Signal | clearml | dstack |
|---|---|---|
| Maintenance | Active (7d since push) As of 2w · github_public_v1 | Very active (0d since push) As of 4w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · github_public_v1 | Not a fork · Organization account As of 4w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | No lockfile (source not queried) 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
- clearml
- MLOps/LLMOps solution for CI/CD in AI workloads
- dstack
- Vendor-agnostic orchestration for AI workloads
Stars
- clearml
- 6.8k
- dstack
- 2.2k
Forks
- clearml
- 785
- dstack
- 240
Open issues
- clearml
- 573
- dstack
- 61
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
- Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
Persona
- clearml
- -
- dstack
- -
Runtime
- clearml
- -
- dstack
- -
License
- clearml
- Apache-2.0
- dstack
- MPL-2.0
Last pushed
- clearml
- Jul 27, 2026
- dstack
- Jul 24, 2026
Categories
- clearml
- Inference & Serving, Model Training
- dstack
- AI Agents, Inference & Serving, Model Training
Trust and health
Maintenance
- clearml
- Active (82%)
- dstack
- Very active (96%)
Days since push
- clearml
- 7d
- dstack
- 0d
Open issues (now)
- clearml
- 573
- dstack
- 61
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.
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers AI Agents.
- If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent
When NOT to use dstack
- When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred
- If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0)
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 Aug 3, 2026
- GitHub forks (clearml/clearml) · observed Aug 3, 2026
- Last push (clearml/clearml) · observed Jul 27, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (dstackai/dstack) · observed Jul 24, 2026
- GitHub forks (dstackai/dstack) · observed Jul 24, 2026
- Last push (dstackai/dstack) · observed Jul 24, 2026
- License file (MPL-2.0) · observed Jul 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: clearml 6.8k · dstack 2.2k (synced Aug 3, 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 AI 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; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
- 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?
- When sticking to single-vendor solutions where tightly integrated proprietary tools are preferred If the project strictly avoids open-source components with Mozilla Public License (MPL-2.0)
- Is clearml or dstack more popular on GitHub?
- clearml has more GitHub stars (6,805 vs 2,192). 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: 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.