It saves your a history of all code you’ve executed and the outputs it produces to the notebook’s metadata. The code this collects will sometimes be more than you want. Nbgather provides tools for cleaning code, recovering lost code, and comparing versions of code in Jupyter Lab. Learn more about how Kite boosts your JupyterLab editor’s capabilities at. Kite helps you write code faster by saving you keystrokes and showing you the right information at the right time.
Kite is an AI-powered programming assistant that helps you write Python code inside JupyterLab. NBdime provides tools for diffing and merging of Jupyter notebooks. LSP (Language Server Protocol)Ĭoding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol. Jupytext is a plugin for Jupyter that can save Jupyter notebooks as either. Turn your Jupyter notebooks into plain text documents, edit them in your favorite IDE, and get clear and meaningful diffs when doing version control. This extension allows you to select GitHub organizations and users, browse their repositories, and open the files in those repositories.Ī JupyterLab extension for version control using Git.
JUPYTERLAB PLOTLY EXTENSION SOFTWARE
It provides the distributed version control of Git plus access control, bug tracking, software feature requests, task management, continuous integration, and wikis for every project.
Github is an Internet hosting service for software development and version control using Git. The jupyterlab extension automatically displays execution time in each code cell. This is a tiny python package that provides you with a decorator to measure execution time (in ms) of functions. markdown cell starting with some number of “#") can be collapsed / uncollapsed by clicking on the caret icon created to the left of header cells or by using a shortcut. Make headings collapsible like the old Jupyter notebook extension and like Mathematica notebooks. The jupyterlab extension extends this capability to code cells. Eventually, this will become a fully featured formatting tool for Python. The library is made to be very extendable and configurable, but it’s still in the beginning phase. Code Tools Code FormatterĬode formatter is a Python formatter based on the tokenize library in Python. Plotly graphs can be viewed in Jupyter notebooks, standalone HTML files, or integrated into Dash applications.Ī JupyterLab MIME renderer extension to view CSV and JSON data in Voyager 2. plotly.js ships with over 30 chart types, including scientific charts, 3D graphs, statistical charts, SVG maps, financial charts, and more. Built on top of plotly.js, plotly.py is a high-level, declarative charting library. Plotly.py is an interactive, open-source, and browser-based graphing library for Python. Besides, the figure canvas element is a proper Jupyter interactive widget, which can be positioned in interactive widget layouts. Leveraging the Jupyter interactive widgets framework, ipympl enables the interactive features of matplotlib in the Jupyter notebook and in JupyterLab. Matplotlib is a plotting library for the Python programming language and its numerical mathematics extension NumPy. This Bokeh extension is for rendering Bokeh content in JupyterLab notebooks.Ī JupyterLab extension for editing Plotly charts.Ī JupyterLab extension for rendering Plotly Dash apps as a separate window in JupyterLab.
In this article, we will share the top JupyterLab extensions in our 2023 survey of the landscape.īelow is a our list for easy navigation: Vizīokeh helps you build powerful data applications with a wide array of widgets, plot tools, and UI events that can trigger real Python callbacks. It supports Julia, Python, R as well as Matlab, Scala and many more programming languages. JupyterLab is a browser-based interactive development environment (IDE) for notebooks, code, and data maintained by Project Jupyter.
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