The Best 25 Data visualisation Libraries

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Data visualisation Repositories

Interactive Data Visualization in the browser, from Python

Non-monetary support can help with development, collaboration, infrastructure, security, and vulnerability management. The Bokeh project is grateful to the following companies for their donation of s…

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.

Pylustrator is a software to prepare your figures for publication in a reproducible way. This means you receive a figure representing your data and alongside a generated code file that can exactly re…

Visualise your Kedro data and machine-learning pipelines and track your experiments.

There are two ways you can use Kedro-Viz: To install Kedro-Viz as a Kedro plugin: As a standalone React component (for embedding Kedro-Viz in your web application). To install the standalone React c…

A powerful, format-agnostic, and community-driven Python package for analysing and visualising Earth science data

Data visualisation and ray tracing in Python based on OptiX 7.7 framework.

... but PlotOptiX is much faster on large data, and, with all the raytraced shades and DoF, more readable and eye catching. You can quickly display data in a simple plot: or prepare complex scenes, c…

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

This repository aims to provide tutorials for implementing various visualisations using Seaborn, Plotly, Bokeh, Networkx and even a sample report built using Tableau. -- Since some plots are interact…

Engaging visualisations, made easy.

Get up and running with Python with the following command. MIT

Example notebooks showing how to work with ECMWF services and data

The examples in this space should give you a good starting point how you can work with ECMWF services and data through Python using Jupyter notebooks. Each notebook has a list of nececary libraries n…

A small library for creating pretty heatmaps of daily data.

A small library for creating pretty heatmaps of daily data. The reasoning was roughly as follows: Also, as a summer loving person stuck in the Northern hemisphere, July is my favourite month by a lig…

Create artistic visualisations with your exercise data (Python version)

Create artistic visualisations with your exercise data (Python version). Install via pip: For development: Then run from the terminal: A map of activities viewed in plan. A plot of activity elevation…

Resources for teaching & learning practical data visualization with python.

This repository contains all materials related to a lecture / seminar I teach on practical data visualization with python. What I mean by "practical" is that the materials herein do not focus on one …

Records the activity (comments and karma) on the hot page of a Reddit sub and prepare an animated data visualisation.

For example, if I live in Europe and want to plot for american viewers (-7 hours compared to my local time):

Data manipulation, analysis and visualisation in Python - specialist course Doctoral schools of Ghent University

This course is intended for researchers that have at least basic programming skills in Python. It targets researchers that want to enhance their general data manipulation and analysis skills in Pytho…

Data journalism and easy to replicate notebooks using Python, R, and Web visualisations

So our hope is that while finding our articles analysis and conclusions interesting, you will also learn how to repeat and extend them yourself and arrive to aditional conclusions. Where we analyse t…

A Python package for data visualisation for football analytics.

Python: v3.7.7 Numpy: v1.19.1 Matplotlib: v3.3.0 Pillow(PIL): v7.2.0

A Repository consisting of various visualisation libraries and tools

Yes, we have data and we have insights, now what? Obviously, the next step would be to communicate these findings with people so that they can take the necessary actions. One of the most effective wa…

Data Science, Visualisations, and Machine Learning Cookbook

Data Science stuff I have learnt and still refer to over the years. Script titles are descriptive in keeping with the verbose nature of the python language (a Xteristic that I absolutely love) A few …

An interactive dashboard for visualisation, integration and classification of data using Active Learning.

It is common for active learning to query areas of high uncertainty; these are often in the boundaries between classes where the expert's knowledge is required. To facilitate this human-in-the-loop p…

The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at

Ocean Navigator is a Data Visualization tool that enables users to discover and view 3D ocean model output quickly and easily. The server-side component of the Ocean Navigator is written in Python 3,…

How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.

The Pandas Data Exploration Journey series will consist of following notebooks :

Some tools for manipulating and visualizing raster and vector data using python. See code generated documentation at the readthedocs website. For installation and usage instructions (warning: this is under construction) go here: https://lsdtopotools.github.io/LSDTT_documentation/LSDTT_visualisation.html

I am very sorry to say that the documentation for these tools are minimal. We have gone through several iterations of design of these tools so there are many useless dead ends in the repository. Sorr…

NIWA Scientific Python tutorial, April 2015, Wellington, New Zealand

#Python for Data Analysis and Visualisation Contact: Nicolas Fauchereau For your platform. Once you have installed Anaconda, you can update to the latest compatible versions of all the pre-installed …

Bootcamp Data Analyst avec Python: Des bases de Python à l'analyse et visualisation de données pour l'extraction de connaissances et storytelling

Comparison of Python packages and libraries for visualising geospatial vector data: applications for Smarter Cities.

A comparison of Python libraries for static and interactive visualisations of large vector data. Long-listed libraries were first compared by compiling a range of metadata: The short-listed libraries…

Computation of adherence to medications from Electronic Healthcare Data in R

More information is given in the packages' various vignettes and in the accompanying paper: Copyright (by period, in alphabetical order by family name; please see individual files for details) (C):