PyTorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Our verdict
A solid, actively developed project. This assessment is derived from GitHub's own repository metrics on 2026-08-24, not from hands-on testing.
PyTorch is tensors and Dynamic neural networks in Python with strong GPU acceleration, built in Python. It has 102,578 stars and 6,884 contributors, and it was pushed to within the last few weeks. No recognised licence is declared, which leaves reuse on uncertain ground whatever the code quality. The most recent tagged release is v2.13.0, from 2026-07-08. The open-issue backlog is large for the project’s size, at 17,318. Figures come from the GitHub API on 2026-08-26 and refresh daily.
Reviewed by AI Review Rating from GitHub API data How we score
Repository
- Licence
- Not declared
- Language
- Python
- Last push
- 2026-08-24
Releases
-
v2.13.0PyTorch 2.13.0 Release -
v2.12.1PyTorch 2.12.1 Release, bug fix release -
v2.12.0PyTorch 2.12.0 Release -
v2.11.0PyTorch 2.11.0 Release -
v2.10.0PyTorch 2.10.0 Release -
v2.9.1PyTorch 2.9.1 Release, bug fix release
Pros and cons
Pros
Cons
Pricing
- Free tierYes
- LicenceNot declared
- Self-hostYes, source is public
- Public price listNot published
PyTorch does not publish a web price list. For consumer apps that usually means pricing appears inside the product; for enterprise tools it means talking to sales. Why we do this
Visit pytorch.orgTrends
Price points are recorded when a price moves, not on a schedule, so a flat run means the price held. Release cadence comes from GitHub releases. A series appears only once we have watched it for long enough to have more than one observation.
Changelog
On video
What users actually say
- Best practices for training PyTorch model Reddit · 2023
- [D] Here are 17 ways of making PyTorch training faster Reddit · 2021
- [P] An elegant and strong PyTorch Trainer Reddit · 2022
- [D] A Few Helpful PyTorch Tips (Examples Included) Reddit · 2021
- Training pytorch model on multiple machines Reddit · 2025
We link to discussions rather than reproducing them. Opinions belong to their authors.
User reviews
No one has reviewed PyTorch here yet. Reviews are moderated before they appear, and our own score is editorial and separate from user ratings, though once reviews land they do lift it.
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PyTorch alternatives
PEFT
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
🥈 
PyTorch Image Models (timm)
The largest collection of PyTorch image encoders / backbones.…
🥉 
fastai
The fastai deep learning library
LlamaFactory
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL…
DeepSpeed
DeepSpeed is a deep learning optimization library that makes…
Hugging Face Datasets
🤗 The largest hub of ready-to-use datasets for AI…
Side by side
| Tool | Our score | From | Free tier | Best for | |
|---|---|---|---|---|---|
| PyTorch this page | 6.6 | - | Yes | ||
| 🥇PEFT | 7.7 | - | Yes | ||
| 🥈PyTorch Image Models (timm) | 7.7 | - | Yes | ||
| 🥉fastai | 7.4 | - | Yes | ||
| LlamaFactory | 7.3 | - | Yes | ||
| DeepSpeed | 7 | - | Yes | ||
| Hugging Face Datasets | 7 | - | Yes |
Questions
Is PyTorch free?
Yes. PyTorch advertises a free tier on its own site.
How much does PyTorch cost?
PyTorch does not publish pricing openly, which usually means it is quote-based. You will need to contact the vendor.
Is PyTorch open source?
Yes. PyTorch is a public repository released under Not declared. You can self-host or inspect the source directly.
How is PyTorch scored here?
PyTorch scores 6.6 out of 10. That comes from a desk review of public evidence, which is capped at 8.5 out of 10: public pricing, documentation, maintenance signals and how much we could actually verify. Affiliate relationships are excluded from scoring entirely. The full rubric is published on our methodology page.