retrolab
jupyterlab-lsp
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| retrolab | jupyterlab-lsp | |
|---|---|---|
| 2 | 17 | |
| 264 | 1,730 | |
| - | 2.6% | |
| 3.3 | 9.4 | |
| about 1 year ago | 3 days ago | |
| Jupyter Notebook | TypeScript | |
| BSD 3-clause "New" or "Revised" License | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
retrolab
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Why is autosave off by default whenever I launch a Jupyter notebook server?
Sorry I cannot help with classic Jupyter Notebook but in JupyterLab you can configure the autosave interval in the Advanced Settings Editor in Document Manager section - no extensions need. Is about time to migrate; if you like the old interface please check out RetroLab https://github.com/jupyterlab/retrolab (and the built-in simple mode)
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Using Jupyter Notebook vs something else?
It sounds like RetroLab would be right for you then. Have you tried it? What did you think? https://github.com/jupyterlab/retrolab
jupyterlab-lsp
- Does Jupyter labs or jupyter notebook have a way to expose python (or C++) objects?
- [D] Why is no one talking about the disadvantages of Colab ?
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Is there anything like a running Jupyter Kernel LSP?
I've recently seen JupyterLab LSP that bring the static analysis aspect of LSP to the notebook, and been wondering if there is anything similar that try to bridge a running kernel back into Neovim.
- Improving Jupyter Lab code entry and editing - recommendations?
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Alternatives to Rstudio
JupyterLab is optimised for handling R, Python and Julia. Code intelligence-wise it requires installing jupyterlab-lsp to get all the best features.
- Good examples of well formatted Jupyter notebooks?
- Jupyterlab-Lsp: Coding Assistance for JupyterLab Using Language Server Protocol
- IDE for data scientists
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Best debugging tool for python
Pylance is really a great LSP in VS Code and it's pretty fast, and Jupyter Lab has an LSP that is also great depending on your use case. VS Code has remote host support for Docker, VMs, etc. depending on what your plans are.
- JupyterLab LSP 3.8 (coding assistance, better autocompletion) released
What are some alternatives?
jupyterlab-classic - JupyterLab distribution with a retro look and feel 🌅
polynote - A better notebook for Scala (and more)
jupyterlab_templates - Support for jupyter notebook templates in jupyterlab
Spyder - Official repository for Spyder - The Scientific Python Development Environment
jupyterlab-lsp - Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol [Moved to: https://github.com/jupyter-lsp/jupyterlab-lsp]
ansible-language-server - 🚧 Ansible Language Server codebase is now included in vscode-ansible repository
PRML - PRML algorithms implemented in Python
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
AMAYARA-Lab - The アマヤラ Lab project provides a ready-to-use Jupyter Lab environment to help out with Android malware analysis using YARA rules.
julia-snail - An Emacs development environment for Julia
jupyterlab-interactive-dashboard-editor - A drag-and-drop dashboard editor for JupyterLab
jupyter-black - Black formatter for Jupyter Notebook