GraphCanon updated Sep 27, 2026 · GitHub synced Sep 27, 2026
83views this month
Decision brief
Dynamic computation graphs with GPU acceleration.
Good fit when
- Required dynamic computation graph functionality for flexible model architectures
- GPU-accelerated tensor operations critical due to high-dimensional data
Avoid when
- Static graph frameworks like TensorFlow are preferred for simpler, less variable models
- Environments with limited GPU support or requiring multi-language compatibility
Observed Jul 12, 2026 · Source: enrich:decision_facts
Verify the decision
Adoption
Package downloads where a registry match exists. GitHub stars (103,384) are secondary evidence.
- Docker Hub pulls (30d)
- 21,212,130·Docker Hub API·Sep 27, 2026
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 27, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 27, 2026
- Security (OSV)
- No criticals
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install pytorchHow it fits your stack(12)
Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.
Integrates
Depends on
Relationship graph
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Similar tools
Same-category neighbours not already linked as typed edges.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A machine learning library for Python that includes support for dynamic computation graphs and automatic differentiation. It is designed to be easy to use and has extensive support for using GPUs.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Sep 27, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Sep 27, 2026
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 27, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 27, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 27, 2026)
You can pass `PYTHON_VERSION=x.y` make variable to specify which Python version is to be used by Miniconda, or leave itSource link
Tags
README
magma installation: run with active conda environment. specify CUDA version to install .ci/docker/common/install magma conda.sh 12.4 (optional) If using torch.compile with inductor/triton, install the matching version of triton Docker Image Using pre built images You can also pul...
For agents
This page has a .md twin and JSON over the API.