Interactive Data Visualization in the browser, from Python

Create charts from the command line

Python library that makes it easy for data scientists to create charts.

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

A grammar of graphics for Python

Java dataframe and visualization library

A cross-platform plotting library for .NET

An intuitive library to add plotting functionality to scikit-learn objects.

With Holoviews, your data visualizes itself.

Crafty statistical graphics for Julia.

Go scientific library for machine learning, linear algebra, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, graph, plotting, visualisation, tensors, eigenvalues, differential equations, more.

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Powerful convenience for Julia visualizations and data analysis

Additional themes, scales, and geoms for ggplot2

A rust drawing library for high quality data plotting for both WASM and native, statically and realtimely 🦀 📈🚀

Owl - OCaml Scientific and Engineering Computing @ http://ocaml.xyz

The missing MatPlotLib for Scala + Spark

Unicode-based scientific plotting for working in the terminal

High level plotting on the GPU.

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

"Cyberpunk style" for matplotlib plots

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Create SVG charts in Elm.

Python library for arbitrary-precision floating-point arithmetic

Portfolio analytics for quants, written in Python

BrachioGraph is an ultra-cheap (total cost of materials: €14) plotter that can be built with minimal skills.

A library for plotting line charts in SVG. Written in all Elm.

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

sjPlot - Data Visualization for Statistics in Social Science