Altair

Features

Declarative Visualization Languages - Provides a declarative system for creating charts and graphs in Python by defining visual specifications.
Python Visualization - Implements a declarative Python visualization library based on the Vega-Lite grammar for statistical plotting.
Interactive Data Charting - Provides an interactive charting library for building linked selections and filters in Python.
Interactive Data Exploration Tools - Builds linked charts and filters that allow users to explore datasets by selecting and highlighting data points.
Interactive Visualization Rendering - Supports linked selections and filters that automatically update multiple charts based on user input.
Declarative Visualization Grammars - Implements a declarative grammar that maps data fields to visual properties instead of using imperative drawing commands.
Statistical Charting Suites - Maps data fields to visual properties to generate charts that reveal patterns and trends in statistical datasets.
Linked Selection Models - Defines interactive filters and linked views by specifying how user inputs map to data subsets.
Browser-Based Execution Environments - Executes visualization code directly within a web runtime to render charts without requiring a backend server.
Notebook Environments - Renders charts directly within interactive computing environments for rapid prototyping and inline data reporting.
Notebook Rendering Utilities - Renders visualizations natively within interactive notebook interfaces and integrated development environments.
Visualization Exporters - Provides capabilities to export charts as standalone HTML, JSON, or image files for independent rendering.
Visualization Exporters - Enables saving charts as standalone HTML pages, JSON files, or common image formats for distribution.
Browser-Based Charting Libraries - Exports visuals as HTML or JSON to display interactive charts in web browsers without requiring a Python backend.
Client-Side Rendering Runtimes - Delegates the actual drawing of pixels to a web-based runtime that interprets JSON specifications.
Data Analysis and Processing - Declarative statistical visualization.
Data Visualization - Declarative statistical visualization library.

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See all 30 alternatives to Altair

altair-vizaltair

Features

Open-source alternatives to Altair

vega/altair

bokeh/bokeh

pyecharts/pyecharts

matplotlib/matplotlib

Star history

Open-source alternatives to Altair

vega/altair

bokeh/bokeh

pyecharts/pyecharts

matplotlib/matplotlib