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tinygrad

tinygrad.org·Infrastructure·🇺🇸

tinygrad is an extremely simple neural network framework that decomposes complex models into just three fundamental OpTypes: Elementwise, Reduce, and Movement operations. It is designed to be easy to understand, hack on, and extend while delivering high performance across different hardware backends. Primarily used by ML researchers, engineers, and contributors who value minimalism and transparency in their deep learning tooling.

Open SourceMITWebCLISelf-hostedCloud-managed
Ttinygrad preview
Visit tinygrad.org↗
33.4kstars
4.2kforks
5features
2020since

Overview

5 features

tinygrad is an AI & ML project. It focuses on implementing and running neural networks with excessive complexity and framework bloat. tinygrad is an open-source project aimed at machine learning developers. The project is open source (MIT). It ships for the web and the command line, and it can be self-hosted.

tiny corp builds and maintains tinygrad, and it first shipped in 2020. The project is developed in the open on GitHub with 33.4k stars and 1k commits in the last 90 days. Key capabilities include Neural Network Framework, Elementwise Operations, and Reduce Operations. It exposes integrations via a public API.

Summary written by a language model from the project’s public pages.

  • ✓Neural Network Framework
  • ✓Elementwise Operations
  • ✓Reduce Operations
  • ✓Movement Operations
  • ✓GPU Acceleration
Tags
neural-networksml-frameworkgpu-computesimple-ai
AI capabilities
Multimodal
Inference: HybridWeights: Open

Built with & integrations

Connectors
API
Runs on
BrowserCLISelf-hostedCloud-managed

Trust & compliance

License
MIT
Verified signals
✓HTTPS✓Open Source✓Free tier✓GitHub · ★ 33.4k✓Active maintenance

Indexing history

1

What PulseGate has recorded for this listing

  1. Indexed3 Aug · 01:27 UTC
    Egpu for Mac verified against its public source
    Source: PulseGate · Open ↗

Frequently asked questions about tinygrad

What does tinygrad do?
Tinygrad focuses on implementing and running neural networks with excessive complexity and framework bloat. It is catalogued under AI & ML on PulseGate.
Who is tinygrad for?
tinygrad is an open-source project built for machine learning developers.
Is tinygrad free?
Yes — tinygrad is open source under the MIT license and free to use.
What platforms does tinygrad run on?
tinygrad runs on the web and the command line. It can also be self-hosted.
Is tinygrad still active?
The GitHub repository shows 1k commits in the last 90 days.
What are alternatives to tinygrad?
Similar projects tracked by PulseGate include Cliprise, chi-ai, and AI DocuChat.Cliprisechi-aiAI DocuChat
Who makes tinygrad?
tinygrad is developed by tiny corp, based in the United States.
When did tinygrad launch?
tinygrad first shipped in 2020.

At a glance

Pricing
Open Source
Platforms
Web
Languages
English
Open source
Yes · ★ 33.4k
License
MIT
First seen
3 Aug 2026
Built for
machine learning developers
Model
Open source
Solves
Implementing and running neural networks with excessive complexity and framework bloat.

Registered as

GitHub
tinygrad/tinygrad

Developer

🇺🇸tiny corp
Community-driven
↗ GitHub

Open source

View on GitHub →
Stars
33,399
Forks
4,240
Open issues
172
Last commit
3 Aug 2026
Commits 90d
1,003
Contributors
492
Authorship
Community-driven
Default branch
master
Latest release
v0.13.0 · 22 May 2026

Live coverage

Identity confidence
Medium · 72.8
Indexed
3 Aug 2026
Lifecycle
Alive
First seen
Aug 2026
Last seen
3 Aug 2026
Identity audit (13)
Slug
egpu-for-mac-tinygrad-org
Lifecycle state recorded
3 Aug 2026
Verification state
Indexed for public listing
Listing state
Listed: yes
Index status
Included in index
Latest evidence snapshot
3 Aug 2026
Timeline basis
Indexed-at chronology (no inferred launch/funding milestones).
Name from
Derived from the project's own page and URL.
Category from
Assigned by a language model.
Summary from
Written by a language model from public pages.
Languages from
Detected by a language model, checked against the page's own declaration.
Last updated
5 Aug 2026
Canonical URL
https://tinygrad.org/

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