Comparison
dstack vs horovod
Verdict
Pick dstack if vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal; pick horovod if simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
Markdown twin · dstack alternatives · horovod alternatives
GraphCanon updated 2d
Trust & integrity
| Signal | dstack | horovod |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2d · github_public_v1 | Archived (4d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2d · 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 | No lockfile (source not queried) As of 3w · deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Published findings As of 1mo · openssf-scorecard@v1 |
Tagline
- dstack
- Vendor-agnostic orchestration for AI workloads
- horovod
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Stars
- dstack
- 2.2k
- horovod
- 15k
Forks
- dstack
- 250
- horovod
- 2.2k
Open issues
- dstack
- 66
- horovod
- 406
Language
- dstack
- Python
- horovod
- Python
Adopt for
- dstack
- Vendor-agnostic AI workload orchestration tool supports GPU providers like NVIDIA and AMD across cloud, Kubernetes, and bare metal.
- horovod
- Simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
Persona
- dstack
- -
- horovod
- -
Runtime
- dstack
- -
- horovod
- -
License
- dstack
- MPL-2.0
- horovod
- Other
Last pushed
- dstack
- Aug 23, 2026
- horovod
- Jul 29, 2026
Categories
- dstack
- AI Agents, Inference & Serving, Model Training
- horovod
- Model Training
Trust and health
Maintenance
- dstack
- Very active (96%)
- horovod
- Archived (8%)
Days since push
- dstack
- 0d
- horovod
- 4d
Archived on GitHub
- dstack
- No
- horovod
- Yes
Open issues (now)
- dstack
- 66
- horovod
- 406
Stars delta
- dstack
- +27 (30d)
- horovod
- Unknown
Open issues delta
- dstack
- +5 (30d)
- horovod
- Unknown
deps.dev advisories
- dstack
- Not queried
- horovod
- No lockfile (source not queried)
OpenSSF Scorecard
- dstack
- Not queried
- horovod
- Published findings
Full report
- dstack
- Trust report
- horovod
- Trust report
Choose dstack if…
- License: dstack is MPL-2.0, horovod is Other.
- Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud.
- Also covers AI Agents, Inference & Serving.
- 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 horovod if…
- License: horovod is Other, dstack is MPL-2.0.
- Tags unique to horovod: deep-learning, distributed-training, keras, mxnet.
- When you need to scale your training across multiple GPUs or nodes with little modification to existing scripts.
When NOT to use horovod
- Avoid when extensive customization beyond core training is needed, as Horovod simplifies processes which might limit flexibility.
- Not recommended if your project relies heavily on specific features not well-supported in Horovod's integration with frameworks like TensorFlow or PyTorch.
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 Aug 24, 2026
- GitHub forks (dstackai/dstack) · observed Aug 24, 2026
- Last push (dstackai/dstack) · observed Aug 23, 2026
- License file (MPL-2.0) · observed Aug 24, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (horovod/horovod) · observed Aug 3, 2026
- GitHub forks (horovod/horovod) · observed Aug 3, 2026
- Last push (horovod/horovod) · observed Jul 29, 2026
- License file (Other) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dstack 2.2k · horovod 15k (synced Aug 24, 2026).
Common questions
- What is the difference between dstack and horovod?
- dstack: Vendor-agnostic orchestration for AI workloads. horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.. See the comparison table for live GitHub stats and shared categories.
- When should I choose dstack over horovod?
- Choose dstack over horovod when License: dstack is MPL-2.0, horovod is Other; Tags unique to dstack: agent-skills, agentic-orchestration, amd, cloud; Also covers AI Agents, Inference & Serving; If your project requires support for multiple hardware vendors such as NVIDIA, AMD, TPU, or Tenstorrent.
- When should I choose horovod over dstack?
- Choose horovod over dstack when License: horovod is Other, dstack is MPL-2.0; Tags unique to horovod: deep-learning, distributed-training, keras, mxnet; When you need to scale your training across multiple GPUs or nodes with little modification to existing scripts.
- 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 horovod?
- Avoid when extensive customization beyond core training is needed, as Horovod simplifies processes which might limit flexibility. Not recommended if your project relies heavily on specific features not well-supported in Horovod's integration with frameworks like TensorFlow or PyTorch.
- Is dstack or horovod more popular on GitHub?
- horovod has more GitHub stars (14,695 vs 2,219). Stars measure visibility, not whether either tool fits your constraints.
- Are dstack and horovod open source?
- Yes - both are open-source projects on GitHub (dstack: MPL-2.0, horovod: Other).
- Where can I find alternatives to dstack or horovod?
- GraphCanon lists graph-backed alternatives at dstack alternatives and horovod alternatives (dstack markdown twin, horovod 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 horovod?
- dstack: Very active. horovod: Archived. 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 horovod?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dstack trust report; horovod trust report.