tinygrad

    tinygrad/tinygrad

    #718 this week

    You like pytorch? You like micrograd? You love tinygrad! ❤️

    backend
    Python
    MIT
    33.7K stars
    4.3K forks
    33.7K GitHub watchers
    Updated Oct 11, 2026
    View on GitHub

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    Ranks #147 among Backend repositories tracked this week, and #146 over the last 30 days; #718 of 1,950 repositories GStars tracks this week (top 37%).

    1 release in the last 90 days, the latest 33 days ago, with 453 contributors on GitHub.

    Gained 59% fewer stars in the last 90 days than in the 90 days before.

    Use Cases & Benefits

    • Implements a minimalist deep learning framework supporting autograd, tensor operations, and neural network training in Python.
    • Offers extreme simplicity and ease of adding new hardware accelerators with minimal low-level operations required.
    • Use for learning and experimenting with deep learning internals and autograd mechanics in a compact codebase.
    • Use for running and fine-tuning large models like LLaMA and Stable Diffusion on various hardware backends.
    • Use for developing and testing custom hardware accelerators by integrating them with a simple, extensible framework.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    tinygrad: For something between PyTorch and karpathy/micrograd. Maintained by tiny corp.

    Despite tinygrad's size, it is a fully featured deep learning framework.

    Due to its extreme simplicity, it is the easiest framework to add new accelerators to, with support for both inference and training. If XLA is CISC, tinygrad is RISC.

    tinygrad is now beta software, we raised some money to make it good. Someday, we will tape out chips.

    tinygrad can run LLaMA and Stable Diffusion!

    Excerpt from the tinygrad/tinygrad README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Jul 8: +6

    +414 stars over 82 days across 8 snapshot days; best day +6 on Jul 8.

    Forks

    4.3K+135

    Open issues

    169-9

    Compared with peers in Backend

    Fastest-growing repositories GStars tracks in this cohort for the week of Oct 11, by 7-day star growth

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    tinygrad/tinygrad33.7K+07533 days ago
    Category median11.1K+2.2K65—

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