Vizualisation Python Packages

dbt-metabase

dbt + Metabase integration

pygfx

Powerful and versatile visualization for Python.

multiqc

Aggregate results from bioinformatics analyses across many samples into a single report.

matplotlib-colors

A collection of curated color profiles for matplotlib.

nonos

Visualization library and CLI for protoplanetary disks simulations

qiskit-state-evolution-recorder

Simple module allowing to record animations to trace changes in qubit states for arbitrary quantum circuits.

krisi

⏳ Evaluation of Time-Series Predictions with powerful pdf and web Reporting. Tailored for evaluation of metrics over time!

dirplot

Create directory treemaps (local, ssh, archives, s3, git, hg, docker, k8s), save in file, PNG, SVG, MP4, and MOV, open in viewer, display inline in terminals.

basket-viz

A Python library for creating interactive and customizable visualizations of basketball statistics.

vizpool

A Python Library with Low-Code support for Basic to Advance Static & Interactive Visualizations

multiplex-plot

Multiplex: visualizations that tell stories—A Python library to create and annotate beautiful network graph visualizations, text visualizations and more.

mgwrvisualizer

Visualization Suite for Multiscale Geographically Weighted Regression (MGWR)

multiqc-celescope

Aggregate results from bioinformatics analyses across many samples into a single report.

roughviz

A python visualization library for creating sketchy/hand-drawn styled charts.

structoscope

Structoscope is a Python library for visualizing and inspecting any data structure.

demort

DEmultiplexing MOnitoring Report Tool. DEMORT evaluates demultiplexed fastq files by computing various metrics.

extensible-splines

Simple, easily verified custom spline interpolation.

spectare

A neural network visualisation and interpretability framework.

multiqc-vlad

Aggregate results from bioinformatics analyses across many samples into a single report.

multiqc-msk

Aggregate results from bioinformatics analyses across many samples into a single report.

multiqc-jupyterlab-helper

Aggregate results from bioinformatics analyses across many samples into a single report.