Comparison
horovod vs accelerate
Verdict
Pick horovod if simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes; pick accelerate if tool: accelerate.
Markdown twin · horovod alternatives · accelerate alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | horovod | accelerate |
|---|---|---|
| Maintenance | Archived (4d since push) As of 3w · github_public_v1 | Very active (3d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · 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 | No lockfile (source not queried) As of 3w · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Published findings As of 1mo · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- horovod
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
- accelerate
- A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
Stars
- horovod
- 15k
- accelerate
- 9.8k
Forks
- horovod
- 2.2k
- accelerate
- 1.4k
Open issues
- horovod
- 406
- accelerate
- 105
Language
- horovod
- Python
- accelerate
- Python
Adopt for
- horovod
- Simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
- accelerate
- Tool: accelerate
Persona
- horovod
- -
- accelerate
- -
Runtime
- horovod
- -
- accelerate
- -
License
- horovod
- Other
- accelerate
- Apache-2.0
Last pushed
- horovod
- Jul 29, 2026
- accelerate
- Jul 30, 2026
Categories
- horovod
- Model Training
- accelerate
- Inference & Serving, Model Training
Trust and health
Maintenance
- horovod
- Archived (8%)
- accelerate
- Very active (96%)
Days since push
- horovod
- 4d
- accelerate
- 3d
Archived on GitHub
- horovod
- Yes
- accelerate
- No
Open issues (now)
- horovod
- 406
- accelerate
- 105
deps.dev advisories
- horovod
- No lockfile (source not queried)
- accelerate
- Not queried
OpenSSF Scorecard
- horovod
- Published findings
- accelerate
- Not queried
Full report
- horovod
- Trust report
- accelerate
- Trust report
Choose horovod if…
- License: horovod is Other, accelerate is Apache-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.
Choose accelerate if…
- License: accelerate is Apache-2.0, horovod is Other.
- Tags unique to accelerate: deepspeed, fsdp, mixed precision.
- Also covers Inference & Serving.
- Easy mixed-precision support for PyTorch models
When NOT to use accelerate
- Non-PyTorch projects do not benefit from this tool
- Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow
- Limited to Python environments compatible with PyTorch 1.10.0+
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (huggingface/accelerate) · observed Aug 3, 2026
- GitHub forks (huggingface/accelerate) · observed Aug 3, 2026
- Last push (huggingface/accelerate) · observed Jul 30, 2026
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: horovod 15k · accelerate 9.8k (synced Aug 3, 2026).
Common questions
- What is the difference between horovod and accelerate?
- horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.. accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. See the comparison table for live GitHub stats and shared categories.
- When should I choose horovod over accelerate?
- Choose horovod over accelerate when License: horovod is Other, accelerate is Apache-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 choose accelerate over horovod?
- Choose accelerate over horovod when License: accelerate is Apache-2.0, horovod is Other; Tags unique to accelerate: deepspeed, fsdp, mixed precision; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- 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.
- When should I avoid accelerate?
- Non-PyTorch projects do not benefit from this tool Doesnt offer advanced auto-tuning features for other frameworks like TensorFlow Limited to Python environments compatible with PyTorch 1.10.0+
- Is horovod or accelerate more popular on GitHub?
- horovod has more GitHub stars (14,695 vs 9,803). Stars measure visibility, not whether either tool fits your constraints.
- Are horovod and accelerate open source?
- Yes - both are open-source projects on GitHub (horovod: Other, accelerate: Apache-2.0).
- Where can I find alternatives to horovod or accelerate?
- GraphCanon lists graph-backed alternatives at horovod alternatives and accelerate alternatives (horovod markdown twin, accelerate 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, horovod or accelerate?
- horovod: Archived. accelerate: 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 horovod and accelerate?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: horovod trust report; accelerate trust report.