Comparison
mxnet vs horovod
Verdict
Pick mxnet if apache MXNet is a deep learning framework that prioritizes efficiency and flexibility, allowing for the mix of symbolic and imperative programming techniques; pick horovod if simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
Markdown twin · mxnet alternatives · horovod alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | mxnet | horovod |
|---|---|---|
| Maintenance | Archived (1012d since push) As of 3w · github_public_v1 | Archived (4d 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 | 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
- mxnet
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework
- horovod
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Stars
- mxnet
- 21k
- horovod
- 15k
Forks
- mxnet
- 6.7k
- horovod
- 2.2k
Open issues
- mxnet
- 2.0k
- horovod
- 406
Language
- mxnet
- C++
- horovod
- Python
Adopt for
- mxnet
- Apache MXNet is a deep learning framework that prioritizes efficiency and flexibility, allowing for the mix of symbolic and imperative programming techniques.
- horovod
- Simplify distributed deep learning training for TensorFlow, Keras, PyTorch, and MXNet with minimal code changes.
Persona
- mxnet
- -
- horovod
- -
Runtime
- mxnet
- -
- horovod
- -
License
- mxnet
- Apache-2.0
- horovod
- Other
Last pushed
- mxnet
- Oct 25, 2023
- horovod
- Jul 29, 2026
Categories
- mxnet
- Model Training
- horovod
- Model Training
Trust and health
Days since push
- mxnet
- 1012d
- horovod
- 4d
Open issues (now)
- mxnet
- 2.0k
- horovod
- 406
deps.dev advisories
- mxnet
- Not queried
- horovod
- No lockfile (source not queried)
OpenSSF Scorecard
- mxnet
- Not queried
- horovod
- Published findings
Full report
- mxnet
- Trust report
- horovod
- Trust report
Choose mxnet if…
- mxnet is primarily C++; horovod is Python.
- License: mxnet is Apache-2.0, horovod is Other.
- Pricing: Open-source, open-access framework with advanced services potentially requiring proprietary add-ons or cloud service costs..
- Requirements: MXNet is known for its lightweight nature and efficient memory management, making it suitable for deployment on various hardware configurations..
- Tags unique to mxnet: auto hybridization, distributed-computing, flexible, lightweight.
- You prefer to mix symbolic and imperative programming styles in your deep learning projects for maximum productivity and performance.
When NOT to use mxnet
- If you require a framework with more out-of-the-box models and easier-to-use libraries, since MXNet focuses on flexibility and efficiency over convenience in pre-built functionalities.
- You are focusing exclusively on one particular programming language (other than Python), as while MXNet supports multiple languages, most community support and updates center around its Python API.
Choose horovod if…
- horovod is primarily Python; mxnet is C++.
- License: horovod is Other, mxnet is Apache-2.0.
- Tags unique to horovod: distributed-training, keras, mxnet, pytorch.
- 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 (apache/mxnet) · observed Aug 3, 2026
- GitHub forks (apache/mxnet) · observed Aug 3, 2026
- Last push (apache/mxnet) · observed Oct 25, 2023
- License file (Apache-2.0) · observed Aug 3, 2026
- Decision facts (enrichment) · observed Jul 12, 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: mxnet 21k · horovod 15k (synced Aug 3, 2026).
Common questions
- What is the difference between mxnet and horovod?
- mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework. 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 mxnet over horovod?
- Choose mxnet over horovod when mxnet is primarily C++; horovod is Python; License: mxnet is Apache-2.0, horovod is Other; Pricing: Open-source, open-access framework with advanced services potentially requiring proprietary add-ons or cloud service costs.; Requirements: MXNet is known for its lightweight nature and efficient memory management, making it suitable for deployment on various hardware configurations.; Tags unique to mxnet: auto hybridization, distributed-computing, flexible, lightweight; You prefer to mix symbolic and imperative programming styles in your deep learning projects for maximum productivity and performance.
- When should I choose horovod over mxnet?
- Choose horovod over mxnet when horovod is primarily Python; mxnet is C++; License: horovod is Other, mxnet is Apache-2.0; Tags unique to horovod: distributed-training, keras, mxnet, pytorch; When you need to scale your training across multiple GPUs or nodes with little modification to existing scripts.
- When should I avoid mxnet?
- If you require a framework with more out-of-the-box models and easier-to-use libraries, since MXNet focuses on flexibility and efficiency over convenience in pre-built functionalities. You are focusing exclusively on one particular programming language (other than Python), as while MXNet supports multiple languages, most community support and updates center around its Python API.
- 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 mxnet or horovod more popular on GitHub?
- mxnet has more GitHub stars (20,817 vs 14,695). Stars measure visibility, not whether either tool fits your constraints.
- Are mxnet and horovod open source?
- Yes - both are open-source projects on GitHub (mxnet: Apache-2.0, horovod: Other).
- Where can I find alternatives to mxnet or horovod?
- GraphCanon lists graph-backed alternatives at mxnet alternatives and horovod alternatives (mxnet 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, mxnet or horovod?
- mxnet: Archived. 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 mxnet and horovod?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mxnet trust report; horovod trust report.