Life & fun · alternatives · 2026
24 alternatives to Juvio – UV Kernel for Jupyter
Juvio brings inline, PEP 723-style dependency management and automatic, ephemeral env setup to Jupyter notebooks.
Juvio is a Jupyter kernel that adds inline dependency management following PEP 723 standards to notebooks. It automatically sets up temporary environments, eliminating the need for separate dependency configuration… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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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 →
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I love Jupyter – it's how I learned to code back when I was working as a scientist. But I was always frustrated that there wasn't a simple and elegant app that I could use with my Mac. I made do by wrapping JupyterLab in a chrome app, and then more recently switching to VS Code to make use of Copilot. I've always craved a more focused and lighter-weight experience when working in a notebook. That's why I created Satyrn. It starts up really fast (faster time-to-execution than VS Code or JupyterLab), you can launch notebooks right from the Finder, and the design is super minimalist. It's got…
2024 · satyrn.app · its alternatives →
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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 →
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Jupyter Notebook Kernel for running Ansible Tasks and Playbooks - ansible/ansible-jupyter-kernel
2018 · github.com · its alternatives →
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Python Jupyter kernel using Poetry for reproducible notebooks - pathbird/poetry-kernel
2021 · github.com · its alternatives →
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I started to use IPython, and then Jupyter more than ten years ago but despite of all the nice features, there were always something missing, something that prevented me from using it as my main working environment. Notably, Jupyter lacks Line by line execution of scripts: The basic execution units
2017 · vatlab.github.io · its alternatives →
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Jupyter notebooks in the terminal. Contribute to joouha/euporie development by creating an account on GitHub.
2021 · github.com · its alternatives →
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2020 · starboard.gg · its alternatives →
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I modified my terminal Jupyter client, euporie [1], to run using pyodide in the browser. It's akin to JupyterLite, providing a temporary online Python notebook environment without the need to install any Python packages. It's potentially useful if you need to do a bit of quick interactive work in Python, but don't have the environment set up ready to do so. Since actual jupyter kernels can't run in pyodide (they run as subprocesses and communicate over ZMQ), it uses an in-process Python kernel which runs on the same interpreter as the application itself. Notebooks and files can be saved…
2022 · euporie.readthedocs.io · its alternatives →
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org-babel integration with Jupyter for evaluation of (Python by default) code blocks - gregsexton/ob-ipython
2015 · github.com · its alternatives →
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A reactive Python kernel for Jupyter notebooks. Contribute to ipyflow/ipyflow development by creating an account on GitHub.
2020 · github.com · its alternatives →
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Author here. Mercury is the simplest way to serve your notebooks as web apps. The simplicity of the framework is very important to us. Mercury has some useful features to make sharing easier: - you can show or hide your code, - your users can easily export executed notebook to PDF/HTML, - there is built-in authentication, - you can produce files in the notebook and make them downloadable, - you can share multiple notebooks. We also care about deployment simplicity. That's why we created a shared hosting service called Mercury Cloud. You can deploy notebook by uploading a file. Below…
2023 · runmercury.com · its alternatives →
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Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax. - vizzuhq/ipyvizzu
2022 · github.com · its alternatives →
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Modelbit▲125Heroku for Data Science, from the founders of Periscope Data
2023 · modelbit.com · its alternatives →
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Mercury is a perfect tool to share your Python notebooks with non-programmers. - You can turn your notebook into web app. - You can add interactive widgets to your notebook by defining the YAML header. Your users can change the input and execute the notebook. - You can hide your code to not scare your (non-coding) collaborators. - Users can interact with notebook and save they results. - You can share notebook as a web app with multiple users - they don't overwrite original notebook. The demo running at Heroku (free dyno) http://mercury-demo-1.herokuapp.com, at AWS EC2 (t3a.small)…
2022 · github.com · its alternatives →
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3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL - widgetti/ipyvolume
2017 · github.com · its alternatives →
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Notebooks for data scientists and data analysts.
2021 · deepnote.com · its alternatives →
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We get asked whether we support Notebooks on Unweave all the time. So, we put together a serverless Jupyter Lab Portal built on top of Unweave. You can choose from 5 different GPUs or use CPU only. The lab comes with an `uwstore` folder at the root of the repository. Any files you add there will be persisted across multiple sessions. We've pre-loaded all labs with a set of commonly used ML dependencies. If you'd like to add additional dependencies, you can install them directly in the Jupyter Lab and save them to a `requirements.txt` or `environment.yml` file. Unweave will automatically…
2022 · playground.unweave.io · its alternatives →
- 21KA
Hi HN, We're the founders of https://kyso.io We want to make it really easy to share data-science within teams, and we've started with Jupyter notebooks. We render the notebooks really nicely, so you can embed interactive visualisations like Bokeh, and Plotly plots. Another nice thing is we allow you to hide the code for non-technical readers, so you basically get a beautiful data blog. Look at https://kyso.io/laura/ for some examples. We really want to hear your feedback, let us know what you think!
2017 · its alternatives →
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Hello everyone, Dipesh and Siddarth here. We are building PlayBooks (https://github.com/DrDroidLab/playbooks), an open source tool to write executable notebooks for on-call investigations / remediations instead of Google Docs or Wikis. There’s a demo video here: https://www.youtube.com/watch?v=_e-wOtIm1gk, and our docs are here: https://docs.drdroid.io/docs/playbooks We were in YC’s W23 batch working on a data lakehouse with support for dynamic log schemas. Eventually we realized it was a product in search of a market and decided to…
2024 · github.com · its alternatives →
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