Comparison
mxnet vs tvm
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 tvm if apache TVM stands out for its python-driven approach towards ML compilation and universal deployment options.
Markdown twin · mxnet alternatives · tvm alternatives
GraphCanon updated 3w
Trust & integrity
| Signal | mxnet | tvm |
|---|---|---|
| Maintenance | Archived (1012d since push) As of 3w · github_public_v1 | Very active (0d 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 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- mxnet
- Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework
- tvm
- Open Machine Learning Compiler Framework
Stars
- mxnet
- 21k
- tvm
- 14k
Forks
- mxnet
- 6.7k
- tvm
- 3.9k
Open issues
- mxnet
- 2.0k
- tvm
- 211
Language
- mxnet
- C++
- tvm
- 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.
- tvm
- Apache TVM stands out for its python-driven approach towards ML compilation and universal deployment options.
Persona
- mxnet
- -
- tvm
- -
Runtime
- mxnet
- -
- tvm
- -
License
- mxnet
- Apache-2.0
- tvm
- Apache-2.0
Last pushed
- mxnet
- Oct 25, 2023
- tvm
- Aug 3, 2026
Categories
- mxnet
- Model Training
- tvm
- Inference & Serving, LLM Frameworks, Model Training
Trust and health
Maintenance
- mxnet
- Archived (8%)
- tvm
- Very active (96%)
Days since push
- mxnet
- 1012d
- tvm
- 0d
Archived on GitHub
- mxnet
- Yes
- tvm
- No
Open issues (now)
- mxnet
- 2.0k
- tvm
- 211
Full report
- mxnet
- Trust report
- tvm
- Trust report
Shared compatibility
- Python · mxnet: Python runtime · tvm: Python runtime
Choose mxnet if…
- mxnet is primarily C++; tvm is Python.
- 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 tvm if…
- tvm is primarily Python; mxnet is C++.
- Tags unique to tvm: compiler, gpu, javascript, machine-learning.
- Also covers Inference & Serving, LLM Frameworks.
- When you focus on Python-first customization to quickly prototype and iterate machine learning models and compilers.
When NOT to use tvm
- Avoid if your workflow demands an immutable model pipeline; TVM shines in flexibility but might be overkill for static workload scenarios.
- For projects that strictly adhere to one hardware platform or API set, as the universal support of TVM could introduce unnecessary complexity.
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 (apache/tvm) · observed Aug 4, 2026
- GitHub forks (apache/tvm) · observed Aug 4, 2026
- Last push (apache/tvm) · observed Aug 3, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: mxnet 21k · tvm 14k (synced Aug 3, 2026).
Common questions
- What is the difference between mxnet and tvm?
- mxnet: Lightweight, Portable, Flexible Distributed/Mobile Deep Learning Framework. tvm: Open Machine Learning Compiler Framework. See the comparison table for live GitHub stats and shared categories.
- When should I choose mxnet over tvm?
- Choose mxnet over tvm when mxnet is primarily C++; tvm is Python; 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 tvm over mxnet?
- Choose tvm over mxnet when tvm is primarily Python; mxnet is C++; Tags unique to tvm: compiler, gpu, javascript, machine-learning; Also covers Inference & Serving, LLM Frameworks; When you focus on Python-first customization to quickly prototype and iterate machine learning models and compilers.
- 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 tvm?
- Avoid if your workflow demands an immutable model pipeline; TVM shines in flexibility but might be overkill for static workload scenarios. For projects that strictly adhere to one hardware platform or API set, as the universal support of TVM could introduce unnecessary complexity.
- Is mxnet or tvm more popular on GitHub?
- mxnet has more GitHub stars (20,817 vs 13,642). Stars measure visibility, not whether either tool fits your constraints.
- Are mxnet and tvm open source?
- Yes - both are open-source projects on GitHub (mxnet: Apache-2.0, tvm: Apache-2.0).
- Where can I find alternatives to mxnet or tvm?
- GraphCanon lists graph-backed alternatives at mxnet alternatives and tvm alternatives (mxnet markdown twin, tvm 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 tvm?
- mxnet: Archived. tvm: 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 mxnet and tvm?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mxnet trust report; tvm trust report.