Comparison
accelerate vs mmengine
Verdict
Pick accelerate if tool: accelerate; pick mmengine if mMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python.
Markdown twin · accelerate alternatives · mmengine alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | accelerate | mmengine |
|---|---|---|
| Maintenance | Very active (3d since push) As of 3w · github_public_v1 | Active (18d 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 published findings from this source as of 2026-07-11 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
- accelerate
- A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.
- mmengine
- OpenMMLab Foundational Library for Training Deep Learning Models
Stars
- accelerate
- 9.8k
- mmengine
- 1.5k
Forks
- accelerate
- 1.4k
- mmengine
- 455
Open issues
- accelerate
- 105
- mmengine
- 260
Language
- accelerate
- Python
- mmengine
- Python
Adopt for
- accelerate
- Tool: accelerate
- mmengine
- MMEngine, part of OpenMMLab, serves as a foundational library for training deep learning models with PyTorch in Python.
Persona
- accelerate
- -
- mmengine
- -
Runtime
- accelerate
- -
- mmengine
- -
License
- accelerate
- Apache-2.0
- mmengine
- MMEngine is distributed under the Apache 2.0 License.
Last pushed
- accelerate
- Jul 30, 2026
- mmengine
- Jul 13, 2026
Categories
- accelerate
- Inference & Serving, Model Training
- mmengine
- Model Training
Trust and health
Maintenance
- accelerate
- Very active (96%)
- mmengine
- Active (82%)
Days since push
- accelerate
- 3d
- mmengine
- 18d
Open issues (now)
- accelerate
- 105
- mmengine
- 260
OSV dependency advisories
- accelerate
- No lockfile (source not queried)
- mmengine
- No published findings from this source as of 2026-07-11
Full report
- accelerate
- Trust report
- mmengine
- Trust report
Shared compatibility
- Python · accelerate: Python runtime · mmengine: Python runtime
Choose accelerate if…
- 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+
Choose mmengine if…
- Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0)..
- Tags unique to mmengine: ai, computer-vision, deep-learning, machine-learning.
- - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.
When NOT to use mmengine
- - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+).
- - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support.
- - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- 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 (open-mmlab/mmengine) · observed Jul 31, 2026
- GitHub forks (open-mmlab/mmengine) · observed Jul 31, 2026
- Last push (open-mmlab/mmengine) · observed Jul 13, 2026
- License file (Apache-2.0) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: accelerate 9.8k · mmengine 1.5k (synced Aug 3, 2026).
Common questions
- What is the difference between accelerate and mmengine?
- accelerate: A tool for launching, training, and using PyTorch models with ease on various devices, configurations, including mixed precision support.. mmengine: OpenMMLab Foundational Library for Training Deep Learning Models. See the comparison table for live GitHub stats and shared categories.
- When should I choose accelerate over mmengine?
- Choose accelerate over mmengine when Tags unique to accelerate: deepspeed, fsdp, mixed precision; Also covers Inference & Serving; Easy mixed-precision support for PyTorch models.
- When should I choose mmengine over accelerate?
- Choose mmengine over accelerate when Pricing: The core functionality for model training offered through MMEngine is accessible without cost due to its licensing terms (Apache 2.0).; Tags unique to mmengine: ai, computer-vision, deep-learning, machine-learning; - Use MMEngine when you are leveraging PyTorch and require a solid foundation for your deep learning model training processes.
- 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+
- When should I avoid mmengine?
- - Avoid using MMEngine if your project requires a Python version outside of the supported range (e.g., Python 3.12+). - If you are working with frameworks other than PyTorch, MMEngine might not be suitable as it is specifically optimized for PyTorch support. - Consider an alternative if you are looking for more flexibility beyond the specific use cases catered to by OpenMMLab and do not want to be tied into their ecosystem.
- Is accelerate or mmengine more popular on GitHub?
- accelerate has more GitHub stars (9,803 vs 1,482). Stars measure visibility, not whether either tool fits your constraints.
- Are accelerate and mmengine open source?
- Yes - both are open-source projects on GitHub (accelerate: Apache-2.0, mmengine: Apache-2.0).
- Where can I find alternatives to accelerate or mmengine?
- GraphCanon lists graph-backed alternatives at accelerate alternatives and mmengine alternatives (accelerate markdown twin, mmengine 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, accelerate or mmengine?
- accelerate: Very active. mmengine: 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 accelerate and mmengine?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: accelerate trust report; mmengine trust report.