Dev tools · alternatives · 2026
24 alternatives to Navatala GPU – multi-back end GPU kernels and Python bindings
Navatala GPU libraries. Contribute to navatala-systems/navatala_gpu development by creating an account on GitHub.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Create Python GUIs with Qt in minutes. Contribute to mherrmann/fbs development by creating an account on GitHub.
2018 · github.com · its alternatives →
- 2
I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com · its alternatives →
- 3
Keep Python on your laptop. Run PyTorch operations and hold tensors on a remote GPU, including from a Mac with no CUDA installation. - ymcrcat/rgpu
16d ago · github.com · its alternatives →
- 4
A pipeline that translates Rust GPU code into formal Coq models, as a foundation for memory model proofs - neelsomani/vericuda
2025 · github.com · its alternatives →
- 5
We built installable software for Windows & Linux that makes any remote Nvidia GPU accessible to, and shareable across, any number of remote clients running local applications, all over standard networking.
2022 · github.com · its alternatives →
- 6PO
Our company Vertex.AI has been working on this for a while but this is the first public release. We're starting with using PlaidML to bring OpenCL support to Keras and more frameworks, platforms, etc are coming. Yes, this means you can use use your AMD GPU for deep learning dev. Sorry, no Mac or Windows support yet although the brave can try building from source (it should work). http://vertex.ai/blog/announcing-plaidml https://github.com/plaidml/plaidml
2017 · its alternatives →
- 7
Ultra-fast and customizable Python charts. Contribute to reflex-dev/xy development by creating an account on GitHub.
Jul 2026 · github.com · its alternatives →
- 8
Hi HN, Over the past few months, I've been building `dsc`, a tensor library from scratch in C++/CUDA. My main focus has been on getting the basics right, prioritizing a clean API, simplicity, and clear observability for running small LLMs locally. The key features are: - C++ core with CUDA support written from scratch. - A familiar, PyTorch-like Python API. - Runs real models: it's complete enough to load a model like Qwen from HuggingFace and run inference on both CUDA and CPU with a single line change[1]. - Simple, built-in observability for both Python and C++. Next on the roadmap is…
2025 · github.com · its alternatives →
- 9
Compare GPU rental prices across cloud providers
6d ago · gpu.context.dev · its alternatives →
- 10
cuTile Rust provides a safe, tile-based kernel programming DSL for the Rust programming language. It features a safe host-side API for passing tensors to asynchronously executed kernel functions. - NVlabs/cutile-rs
Jun 2026 · github.com · its alternatives →
- 11
Superficially, it may look similar to Nvidia's Warp or OpenAI's Triton, but instead of transpiling a subset of Python to the target language, it implements dynamic codegen in pure Python. These slides discuss the existing GPU programming solutions and make a case for Metashade's approach: https://docs.google.com/presentation/d/e/2PACX-1vQtYIwXIkMnV...
2024 · github.com · its alternatives →
- 12
Google colab GPU access in every language - not just Python
2024 · github.com · its alternatives →
- 13
A C++17 library for reading and writing NumPy .npy files, with optional .npz (zip) archive support - symisc/sy-numpy-cpp
Apr 2026 · github.com · its alternatives →
- 14
General Purpose Data Manipulation Library. Contribute to maxhumber/redframes development by creating an account on GitHub.
2022 · github.com · its alternatives →
- 15
Standard libraries for Go. Contribute to obsidiandynamics/libstdgo development by creating an account on GitHub.
2020 · github.com · its alternatives →
- 16
I'm excited to announce the release of Datoviz 0.2.0, an open-source, high-performance GPU scientific visualization library built on Vulkan. It targets the interactive visualization of large 2D/3D datasets. This version includes tentative precompiled Python wheels for Linux, macOS (ARM and Intel), and Windows. Datoviz is a key part of the CZI-funded Vispy 2.0 project and will serve as its main GPU backend. Datoviz provides core GPU visualization capabilities while VisPy 2.0 will provide high-level plotting functionality (a bit similar to NumPy vs SciPy). What I'm looking for from the…
2024 · github.com · its alternatives →
- 17
Golang bindings for Roc Toolkit. Contribute to roc-streaming/roc-go development by creating an account on GitHub.
2023 · github.com · its alternatives →
- 18GS
Recently I was inspired by exe.dev to finally finish a project I'd been procrastinating on for half a year. You can simply `ssh gpu.st new` and instantly create instances with a variety of GPUs attached. Instances boot a custom image with PyTorch, Jupyter, and the CUDA toolkit installed by default. Currently we give access to 3090s and 4090s for free users; paid users get access to all GPUs.
Jan 2026 · gpu.st · its alternatives →
- 19
Single-source pure-Rust heterogeneous GPU compute platform - enkiruntime/enki
20d ago · github.com · its alternatives →
- 20BA
2015 · bolt-project.org · its alternatives →
- 21
Go bindings for the FFmpeg libraries. Contribute to csnewman/ffmpeg-go development by creating an account on GitHub.
2024 · github.com · its alternatives →
- 22
turbo.js - perform massive parallel computations in your browser with GPGPU. - turbo/js
2016 · github.com · its alternatives →
- 23AC
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 · its alternatives →
- 24
Accelerate Your Workloads with GPUs
2025 · cyfuture.ai · its alternatives →
Also compare
- Cross-platform desktop applications with PyQT alternatives
- Finetune LLaMA-7B on commodity GPUs using your own text alternatives
- Rgpu – a PyTorch device whose tensors live on a remote GPU alternatives
- Cuq – Formal Verification of Rust GPU Kernels alternatives
- Software for Remote GPU-over-IP alternatives
- PlaidML, open source deep learning for any GPU alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →