:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
- data-science
- jupyter
- ipython
- repl
47,133 repositories indexed
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:atom: Run code interactively, inspect data, and plot. All the power of Jupyter kernels, inside your favorite text editor.
3D visualization and mesh analysis for science and engineering
Vizro is a low-code toolkit for building high-quality data visualization apps.
A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment
Java dataframe and visualization library
Plotting library for IPython/Jupyter notebooks
Python library that makes it easy for data scientists to create charts.
Visualise Go runtime metrics in real time
A cross-platform plotting library for .NET
Open-source demos hosted on Dash Gallery
Beautiful, open source, WebGPU-based charting library
:bar_chart: A library of modular chart components built on D3
Go package to make lightweight ASCII line graph ╭┈╯ in command line apps with no other dependencies.
With Holoviews, your data visualizes itself.
An interactive graphing library for R
:dango: An interactive and responsive charting library based on G2.
The Composer of ggplots
:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Easy to use and highly customizable charts library for iOS
An intuitive library to add plotting functionality to scikit-learn objects.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Enhancing {ggplot2} plots with statistical analysis 📊📣
Handout for the tutorial "Creating publication-quality figures with matplotlib"
Library for animated data visualizations and data stories.