Vizualisation Python Packages

dbt-metabase

dbt + Metabase integration

multiqc

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

pygfx

Powerful and versatile visualization for Python.

matplotlib-colors

A collection of curated color profiles for matplotlib.

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.

nonos

A lightweight plotting library for protoplanetary disks simulations

krisi

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

basket-viz

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

qiskit-state-evolution-recorder

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

vizpool

A python library to provide low code support for static and interactive data visualizations ✨

mgwrvisualizer

Visualization Suite for Multiscale Geographically Weighted Regression (MGWR)

multiplex-plot

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

roughviz

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

multiqc-celescope

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

demort

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

structoscope

A Python library for visualizing and inspecting data structures

extensible-splines

Python Spline Interpolation. Interactive plot for quick testing of new spline kernels or control point usage.

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.

spectare

A neural network visualisation and interpretability framework.

multiqc-jupyterlab-helper

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