Tag: visualization

folium builds on the data wrangling strengths of the Python ecosystem and the mapping strengths of the Leaflet.js library.

Glue is an open source Python library to explore relationships within and between related datasets.

GeoViews is an open source Python library that makes it easy to explore and visualize any data that includes geographic locations. It has particularly powerful support for multidimensional meteorological and oceanographic datasets, such as those used in weather, climate, and

Datashader is a library for rasterizing large amounts of data into beautiful, accurate images. It automates the process of creating meaningful representations of large amounts of data.

Glumpy is an open source Python library for scientific visualization that is both fast, scalable and beautiful. Glumpy offers an intuitive interface between NumPy and modern OpenGL.

PYthon svg GrAph plotting Library (pygal) is a dynamic SVG charting library written in Python.

PyQtGraph is a pure-python graphics and GUI open source library built on PyQt4 / PySide and NumPy. It’s intended for use in mathematics / scientific / engineering applications.

bqplot is a Grammar of Graphics-based interactive plotting framework for the Jupyter notebook.

plotnine is an implementation of a grammar of graphics in Python. It’s based on ggplot2. The grammar allows users to compose plots by explicitly mapping data to the visual objects that make up the plot.

Plotly’s Python browser-based graphing library makes interactive, publication-quality graphs online.

Vega-Altair is a declarative statistical visualization library for Python, based on Vega and Vega-Lite. This means you can write Python but output Vega-Lite.

Diagrams lets you draw the cloud system architecture in Python code. Diagrams is free and open source software.

VisPy is a high-performance, interactive, 2D/3D data visualization open source Python library.