polynote
jupyterlab-lsp
Our great sponsors
polynote | jupyterlab-lsp | |
---|---|---|
3 | 17 | |
4,483 | 1,726 | |
0.2% | 2.4% | |
8.4 | 9.5 | |
10 days ago | 10 days ago | |
Jupyter Notebook | TypeScript | |
Apache License 2.0 | 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.
polynote
-
Scala and WebAssembly?
Then you think wrong: https://github.com/polynote/polynote / https://polynote.org/about/
-
Compiling/testing Jupyter notebook code with sbt?
Polynote does support .ipynb and has a feature to run notebooks from the comand line.
-
Scala FP code samples
Among server like real world projects, I think the server implementation of polynote is pretty functional - https://github.com/polynote/polynote/tree/master/polynote-server which uses this - https://github.com/polynote/uzhttp
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 ?
-
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?
-
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
-
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-interactive-dashboard-editor - A drag-and-drop dashboard editor for JupyterLab
Spyder - Official repository for Spyder - The Scientific Python Development Environment
pfps-examples - :izakaya_lantern: Standalone examples shown in the book "Practical FP in Scala: A hands-on approach"
ansible-language-server - 🚧 Ansible Language Server codebase is now included in vscode-ansible repository
slinky - Write Scala.js React apps just like you would in ES6
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
Laminar - Simple, expressive, and safe UI library for Scala.js
julia-snail - An Emacs development environment for Julia
scala-native-wasm - Running Scala in WebAssembly through Scala Native
jupyter-black - Black formatter for Jupyter Notebook
dash - Data Apps & Dashboards for Python. No JavaScript Required.
vscode-lsp-wl - Visual Studio Code Client for Wolfram Language Server