14 best Python Charts libraries in 2022

:snake: :bar_chart: :chart_with_upwards_trend: Build complex dashboards without any front-end code. Use your own endpoints. JSON config only. Ready to go.

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

A Python module for creating Excel XLSX files.

Helm Chart & Documentation for deploying JupyterHub on Kubernetes

📊📈 Serves up Pandas dataframes via the Django REST Framework for use in client-side (i.e. d3.js) visualizations and offline analysis (e.g. Excel)

Python Wrapper for NVD3 - It's time for beautiful charts

Plotly Express - Simple syntax for complex charts. Now integrated into plotly.py!

Create animated bar chart races in Python with matplotlib

A Django app to plot charts and pivot charts directly from the models. Uses HighCharts and jQuery JavaScript libraries to render the charts on the webpage.

📉 Hand drawing style charts library for Python

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

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

🧇 Make Waffle Charts in Python.

Django-admin-tools-stats is a Django admin module that allow you to create easily charts on your dashboard based on specific models and criterias