Alternatives

Products that do what Minimal DL library in C – 24 NAIVE CUDA/CPU ops, autodiff, Python API does

1. 1
   RightNow CLI▲121

   Claude Code for CUDA, an open-source AI CLI for GPU devs

   Oct 2025

2. 2TV
   Tiny-vLLM – high performance LLM inference engine in C++ and CUDA▲205

   May 2026 · github.com

3. 3RT
   Run TRELLIS.2 Image-to-3D generation natively on Apple Silicon▲202

   I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…

   Apr 2026 · github.com

4. 4AM
   A minimal C runtime for Linux i386 and x86_64 in 87 SLOC of C▲172

   2015 · github.com

5. 5IB
   I built a Cargo-like build tool for C/C++▲177

   I love C and C++, but setting up projects can sometimes be a pain. Every time I wanted to start something new I'd spend the first hour writing CMakeLists.txt, figuring out find_package, copying boilerplate from my last project, and googling why my library isn't linking. By the time the project was actually set up I'd lost all momentum. So, I built Craft - a lightweight build and workflow tool for C and C++. Instead of writing CMake, your project configuration goes in a simple craft.toml: [project] name = "my_app" version = "0.1.0" language = "c" c_standard = 99 [build] type = "executable"…

   Apr 2026 · github.com

6. 6MM
   Microcrad – Micrograd Reimplemented in C▲79

   Jun 2026 · github.com

7. 7AP
   A Python with Hindley-Milner-like type annotations, compiling to C▲134

   2015 · github.com

8. 8AM
   A Modern C/C++ build tools (Simple, Fast, Cross-platform)▲89

   2019 · xmake.io

9. 9AT
   autolib, the last Python library you'll ever need▲13

   2010 · github.com

10. 10PT
    Python-to-Python compiler for some 3.6 features in older versions▲87

    2017 · github.com

11. 11CL
    C library for Linux to easily create modular projects▲56

    2018 · github.com

12. 12TC
    Tiny C runtime Linux (rt0), HelloWorld 0.6k (i386), sbrk example added▲49

    2015 · github.com

13. 13AC
    Autowrap C functions at runtime for the Python/C API▲7

    2012 · github.com

14. 14MM
    Minimal, modern embedded V8 for Python▲30

    2016 · github.com

15. 15MA
    Minigrad – a small neural network lib in Golang▲9

    I built a neural network library in golang on an autograd engine. Faster and easy to use like PyTorch. Please give it a try and share your feedback. if you like it, a github star will be appreciated.

    2024 · github.com

16. 16AL
    A LESS compiler for all platforms▲9

    2011 · wearekiss.com

17. 17TA
    Transpilatron – an AI tool that converts Python code into C binaries▲5

    Jun 2026 · github.com

18. 18AE
    An experimental Python to C#/Go/Ruby/JS transpiler▲14

    2016 · github.com

19. 19AC
    Axiom – C++ tensor library with NumPy API and Metal GPU support▲5

    I've been building a C++ tensor library that tries to bring the ergonomics of NumPy/PyTorch to native code. The main goals were: - Familiar API (operator overloading, method chaining, same function names) - Actual GPU acceleration via Metal (not just matmul, but all ops) - Cross-platform with SIMD on x86/ARM/RISC-V via xsimd - einops-style rearrange/reduce patterns It started because I wanted NumPy's API but needed to deploy on edge devices without Python. Ended up going deeper than expected (28k LOC+) into BLAS backends, memory views, and GPU kernels. Some things I'm…

    Feb 2026

20. 20AS
    A simple CLI tool to try python packages▲6

    2016 · github.com

21. 21AP
    A package manager for Autonomous AI tools▲6

    I've just started AutoPack, which is a repository and python package of tools designed specifically for autonomous AI systems. Right now it's just LangChain but adding Auto-GPT and others isn't very hard.

    2023 · autopack.ai

22. 22LS
    Less Slow C++▲6

    Earlier this year, I took a month to reexamine my coding habits and rethink some past design choices. I hope to rewrite and improve my FOSS libraries this year, and I needed answers to a few questions first. Perhaps some of these questions will resonate with others in the community, too. - Are coroutines viable for high-performance work? - Should I use SIMD intrinsics for clarity or drop to assembly for easier library distribution? - Has hardware caught up with vectorized scatter/gather in AVX-512 & SVE? - How do secure enclaves & pointer tagging differ on Intel, Arm, & AMD? - What's…

    2025 · github.com

23. 23
    dltHub▲1

    Open-source Python lib 10M+ devs use to build data pipelines

    May 2026 · dlthub.com

24. 24BC
    btrc – C, but better. Built with AI in just a few weeknights▲5

    btrc is a statically-typed language that transpiles to C11. It adds classes, generics (monomorphized), type inference, lambdas, f-strings, collections (Vector, Map, Set), threads, GPU compute via WebGPU, ARC memory management, exception handling, and a standard library — while generating strict C11 with no runtime, no GC, and no VM. The compiler is a 6-stage Python pipeline (lexer → parser → analyzer → IR gen → optimizer → C emitter) driven by a formal EBNF grammar and an algebraic AST spec (Zephyr ASDL). The generated C is readable and linkable with any C11 compiler. It ships with a VS Code…

    Mar 2026 · github.com

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