Zasper
4X Better IDE than Jupyterlab
What it does
Zasper is blazingly fast and scales to all your CPU cores unlike Jupyterlab and uses only a quarter of RAM and CPU used by Jupyterlab. While Jupyterlab uses around 104.8 MB of RAM and 0.8 CPUs, Zasper uses 26.7 MB of RAM and 0.2 CPUs.
Does a similar job
all alternatives →- AMAdding Mistral Codestral and GPT-4o to Jupyter Notebooks2024 · github.com · ▲269
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…
- ZAZasper – A High Performance IDE for Jupyter Notebooks2025 · github.com · ▲7
- MAMolab, a cloud-hosted Marimo notebook workspace2025 · molab.marimo.io · ▲123
We launched marimo [1], an open-source reactive Python notebook, last year on HackerNews. Today, the most popular recent feature request in Google Colab’s issue tracker asks for marimo support in Colab [2]. Rather than try to convince Google to replace their notebook with marimo, we decided to just build our own cloud-hosted notebook service instead. We're calling this molab (mo for marimo), and we're launching it today. You can try it at https://molab.marimo.io Some features: - Persistent storage - Link sharing (notebooks are public but undiscoverable, like secret GitHub Gists) -…
- JUJuvio – UV Kernel for Jupyter2025 · github.com · ▲118
Juvio brings inline, PEP 723-style dependency management and automatic, ephemeral env setup to Jupyter notebooks.
- WPWASM-powered codespaces for Python notebooks on GitHub2025 · docs.marimo.io · ▲204
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:…
- JRJupystar – Run any Jupyter notebook in the browser2020 · starboard.gg · ▲79
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