Comparison
dstack vs blast
Verdict
Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick blast if blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python.
Markdown twin · dstack alternatives · blast alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | dstack | blast |
|---|---|---|
| Maintenance | Very active (0d since push) As of 4w · github_public_v1 | Steady (56d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) 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
- dstack
- Vendor-agnostic orchestration for AI workloads
- blast
- Open-source VMs-as-a-service
Stars
- dstack
- 2.2k
- blast
- 777
Forks
- dstack
- 240
- blast
- 51
Open issues
- dstack
- 61
- blast
- 6
Language
- dstack
- Python
- blast
- Python
Adopt for
- dstack
- Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
- blast
- Blast provides open-source VMs-as-a-service for deploying AI agents and facilitating large-language-model inference, with support for Python.
Persona
- dstack
- -
- blast
- -
Runtime
- dstack
- -
- blast
- -
License
- dstack
- MPL-2.0
- blast
- MIT
Last pushed
- dstack
- Jul 24, 2026
- blast
- May 29, 2026
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- blast
- AI Agents, Inference & Serving
Trust and health
Maintenance
- dstack
- Very active (96%)
- blast
- Steady (60%)
Days since push
- dstack
- 0d
- blast
- 56d
Open issues (now)
- dstack
- 61
- blast
- 6
Full report
- dstack
- Trust report
- blast
- Trust report
Choose dstack if…
- License: dstack is MPL-2.0, blast is MIT.
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers Model Training.
- 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)
Choose blast if…
- License: blast is MIT, dstack is MPL-2.0.
- Requirements: Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project..
- Tags unique to blast: ai-agents, browser-automation, llm-inference, python.
- Use Blast if you need an open-source solution for virtual machines as a service specifically tailored to artificial intelligence agent deployment and large-language-model inference processes.
When NOT to use blast
- Avoid Blast if your project requires proprietary or commercial-only solutions because it is an open-source tool governed by the MIT License.
- Do not use Blast for applications where browser-automation support alone is needed as its primary focus is on deploying AI agents and not solely on automating browsers.
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 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 (stanford-mast/blast) · observed Jul 25, 2026
- GitHub forks (stanford-mast/blast) · observed Jul 25, 2026
- Last push (stanford-mast/blast) · observed May 29, 2026
- License file (MIT) · observed Jul 25, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dstack 2.2k · blast 777 (synced Jul 24, 2026).
Common questions
- What is the difference between dstack and blast?
- dstack: Vendor-agnostic orchestration for AI workloads. blast: Open-source VMs-as-a-service. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over blast?
- Choose dstack over blast when License: dstack is MPL-2.0, blast is MIT; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers Model Training; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
- When should I choose blast over dstack?
- Choose blast over dstack when License: blast is MIT, dstack is MPL-2.0; Requirements: Requires Docker; Ensure you have Docker installed to create and manage virtual machine instances effectively with Blast.; Python environment setup is necessary for leveraging all the features offered by this project.; Tags unique to blast: ai-agents, browser-automation, llm-inference, python; Use Blast if you need an open-source solution for virtual machines as a service specifically tailored to artificial intelligence agent deployment and large-language-model inference processes.
- 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)
- When should I avoid blast?
- Avoid Blast if your project requires proprietary or commercial-only solutions because it is an open-source tool governed by the MIT License. Do not use Blast for applications where browser-automation support alone is needed as its primary focus is on deploying AI agents and not solely on automating browsers.
- Is dstack or blast more popular on GitHub?
- dstack has more GitHub stars (2,192 vs 777). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and blast open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, blast: MIT).
- Where can I find alternatives to dstack or blast?
- GraphCanon lists graph-backed alternatives at dstack alternatives and blast alternatives (dstack markdown twin, blast 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 blast?
- dstack: Very active. blast: Steady. 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 blast?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; blast trust report.