Comparison
horovod vs mesh
Verdict
Pick horovod if simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes; pick mesh if mesh TensorFlow supports simplified model parallelism across multiple devices in Python under the Apache-2.0 license.
Markdown twin · horovod alternatives · mesh alternatives
GraphCanon updated Sep 26, 2026
14views this month
Trust & integrity
| Signal | horovod | mesh |
|---|---|---|
| Maintenance | Archived (8d since push) As of Sep 26, 2026 · github_public_v1 | Archived (1023d since push) As of Sep 6, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 26, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 6, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 |
| deps.dev advisories | No lockfile (source not queried) As of Aug 2, 2026 · deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Published findings As of Jul 26, 2026 · openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- horovod
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
- mesh
- Mesh TensorFlow: Model Parallelism Made Easier
Stars
- horovod
- 15k
- mesh
- 1.6k
Forks
- horovod
- 2.2k
- mesh
- 255
Open issues
- horovod
- 407
- mesh
- 98
Language
- horovod
- Python
- mesh
- Python
Adopt for
- horovod
- Simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
- mesh
- Mesh TensorFlow supports simplified model parallelism across multiple devices in Python under the Apache-2.0 license.
Persona
- horovod
- -
- mesh
- -
Runtime
- horovod
- -
- mesh
- -
License
- horovod
- Other
- mesh
- Apache-2.0
Last pushed
- horovod
- Sep 17, 2026
- mesh
- Nov 17, 2023
Categories
- horovod
- Model Training
- mesh
- Model Training
Trust and health
Days since push
- horovod
- 8d
- mesh
- 1023d
Open issues (now)
- horovod
- 407
- mesh
- 98
Stars delta
- horovod
- -13 (30d)
- mesh
- 0 (30d)
Open issues delta
- horovod
- +1 (30d)
- mesh
- 0 (30d)
deps.dev advisories
- horovod
- No lockfile (source not queried)
- mesh
- Not queried
OpenSSF Scorecard
- horovod
- Published findings
- mesh
- Not queried
Full report
- horovod
- Trust report
- mesh
- Trust report
Choose horovod if…
- License: horovod is Other, mesh 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 mesh if…
- License: mesh is Apache-2.0, horovod is Other.
- Tags unique to mesh: model parallelism, python.
- When working on large models that benefit from being split across many devices.
When NOT to use mesh
- If you are looking for a tool that simplifies other aspects of machine learning beyond model-parallel computation.
- For projects with limited GPU/TPU resources where multi-device parallelism is not required.
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 Sep 26, 2026
- GitHub forks (horovod/horovod) · observed Sep 26, 2026
- Last push (horovod/horovod) · observed Sep 17, 2026
- License file (Other) · observed Sep 26, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (tensorflow/mesh) · observed Sep 20, 2026
- GitHub forks (tensorflow/mesh) · observed Sep 20, 2026
- Last push (tensorflow/mesh) · observed Nov 17, 2023
- License file (Apache-2.0) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: horovod 15k · mesh 1.6k (synced Sep 26, 2026).
Common questions
- What is the difference between horovod and mesh?
- horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.. mesh: Mesh TensorFlow: Model Parallelism Made Easier. See the comparison table for live GitHub stats and shared categories.
- When should I choose horovod over mesh?
- Choose horovod over mesh when License: horovod is Other, mesh 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 mesh over horovod?
- Choose mesh over horovod when License: mesh is Apache-2.0, horovod is Other; Tags unique to mesh: model parallelism, python; When working on large models that benefit from being split across many devices.
- 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 mesh?
- If you are looking for a tool that simplifies other aspects of machine learning beyond model-parallel computation. For projects with limited GPU/TPU resources where multi-device parallelism is not required.
- Is horovod or mesh more popular on GitHub?
- horovod has more GitHub stars (14,682 vs 1,630). Stars measure visibility, not whether either tool fits your constraints.
- Are horovod and mesh open source?
- Yes - both are open-source projects on GitHub (horovod: Other, mesh: Apache-2.0).
- Where can I find alternatives to horovod or mesh?
- GraphCanon lists graph-backed alternatives at horovod alternatives and mesh alternatives (horovod markdown twin, mesh 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 mesh?
- horovod: Archived. mesh: 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 horovod and mesh?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: horovod trust report; mesh trust report.