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AI · alternatives · 2026

24 alternatives to Gradient Community Notebooks

Jupyter notebooks you can run on free cloud GPUs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Gradient Community Notebooks launched in 2019; newer entries below may have overtaken it.

  1. 1

    Hey HN! We’ve forked Jupyter Lab and added AI code generation features that feel native and have all the context about your notebook. You can see a demo video (2 min) here: https://www.tella.tv/video/clxt7ei4v00rr09i5gt1laop6/view Try a hosted version here: https://pretzelai.app Jupyter is by far the most used Data Science tool. Despite its popularity, it still lacks good code-generation extensions. The flagship AI extension jupyter-ai lags far behind in features and UX compared to modern AI code generation and understanding tools (like…

    2024 · github.com · its alternatives →

  2. 2

    The easiest way to use cloud GPUs

    2025 · tensorpool.dev · its alternatives →

  3. 3

    High-performance, collaborative GPU notebooks in the cloud

    2025 · modal.com · its alternatives →

  4. 4FH

    Hi, This is Dan and Genevieve from Burstable AI. We've iterated and made a 45 degree pivot, taking what we learned from developing burst (https://news.ycombinator.com/item?id=28191459) to introduce a cloud service that provides access to a GPU-enabled machine using Jupyterlab to provide notebooks, shell access, and a code/text editor. GPU access is measured and the first 50 hours are free. This is *not* a platform to do crypto mining or run weeks of model training for free. We are focused on the R & D phase of modern AI/ML, where developers/scientists are…

    2022 · cloudburst.host · its alternatives →

  5. 5

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  6. 6

    Notebooks for data scientists and data analysts.

    2021 · deepnote.com · its alternatives →

  7. 7

    Turn YouTube videos, docs & websites into content that wins

    2025 · notebooks.app · its alternatives →

  8. 8

    Accelerating open machine learning research with Cloud TPUs

    2017 · sites.research.google · its alternatives →

  9. 9WM

    Try it out! https://glhf.chat/ Hey HN! We’ve been working for the past few months on a website to let you easily run (almost) any open-source LLM on autoscaling GPU clusters. It’s free for now while we figure out how to price it, but we expect to be cheaper than most GPU offerings since we can run the models multi-tenant. Unlike Together AI, Fireworks, etc, we’ll run any model that the open-source vLLM project supports: we don’t have a hardcoded list. If you want a specific model or finetune, you don’t have to ask us for it: you can just paste the Hugging Face link in and…

    2024 · glhf.chat · its alternatives →

  10. 10

    Hi HN, We just opened public access to Qwen3‑Coder‑480B‑A35B‑Instruct via a REST/SDK API. Why it might be interesting: - Fully open-source (Apache‑2.0): https://github.com/QwenLM/Qwen3-Coder - 480B params (35B active MoE), long context up to 1M tokens with YaRN - Matches Claude Sonnet/GPT‑4o on SWE-Bench Verified (81.6%) - Free tier: 100K tokens/month

    2023 · netmind.ai · its alternatives →

  11. 11
    Deepnote▲221

    A data science notebook for teams

    2020 · its alternatives →

  12. 12TC

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com · its alternatives →

  13. 13
    GPU.LAND▲126

    Affordable cloud GPUs for deep learning

    2021 · vedge.cloud · its alternatives →

  14. 14

    Deep learning platform built for developers

    2018 · paperspace.com · its alternatives →

  15. 15RJ
  16. 16

    I've been working on CloudRouter, a skill + CLI that gives coding agents like Claude Code and Codex the ability to start cloud VMs and GPUs. When an agent writes code, it usually needs to start a dev server, run tests, open a browser to verify its work. Today that all happens on your local machine. This works fine for a single task, but the agent is sharing your computer: your ports, RAM, screen. If you run multiple agents in parallel, it gets a bit chaotic. Docker helps with isolation, but it still uses your machine's resources, and doesn't give the agent a browser, a desktop, or a GPU to…

    Feb 2026 · cloudrouter.dev · its alternatives →

  17. 17

    The easiest cloud IDE for deep learning

    2018 · blog.floydhub.com · its alternatives →

  18. 18

    Hi HN! Last year, we shared marimo [1], an open-source reactive notebook for Python with support for execution through WebAssembly [2]. We wanted to share something new: you can now run marimo and Jupyter notebooks directly from GitHub in a Wasm-powered, codespace-like environment. What makes this powerful is that we mount the GitHub repository's contents as a filesystem in the notebook, making it really easy to share notebooks with data. All you need to do is prepend 'marimo.app' to any Python notebook on GitHub. Some examples: - Jupyter Notebook:…

    2025 · docs.marimo.io · its alternatives →

  19. 19
    Clusy ▲112

    Clusy is an AI notebook IDE for Jupyter: an agent plans, writes, runs, and branches computational notebooks on managed cloud CPUs and GPUs.

    Jul 2026 · clusy.io · its alternatives →

  20. 20

    A Linux desktop in the cloud built for Machine Learning

    2016 · its alternatives →

  21. 21

    Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support. Use it for ML, data science, runnable tutorials, for your classroom or scientifi

    2019 · nextjournal.com · its alternatives →

  22. 22

    Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU. - MakazhanAlpamys/Soup

    Aug 2026 · github.com · its alternatives →

  23. 23

    Open Notebook is a tool where you can upload your own sources - PDFs (textbooks, research papers), Github repos, documentation websites, and other URLs. Once uploaded, you can either chat with an AI about them or run “apps” on top of those sources. Apps can be anything. Right now, I’ve built the following: - turn articles into short video overviews - create a mind map of the source - create summaries or other reports about the source - generate quizzes or flashcards to help study the source You can also remix existing apps or create one from scratch. I built this because I wanted to make…

    2025 · noodleflow.ai · its alternatives →

  24. 24

    ML dev tool that saves you up to 8x in cloud GPU costs

    2019 · its alternatives →

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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 →