altair
altair-viz.github.ioVega-Altair provides declarative data visualization tools for Python applications.
Looking for something like altair? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 16 are open source.
Vega-Altair is a Python library for declarative statistical visualization.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | altair | — | Not stated | Web |
| 2 | teeplot | — | Yes | — |
| 3 | SolidUI | — | Yes | — |
| 4 | Seaborn | — | Not stated | Web |
| 5 | PyQtGraph | — | Not stated | — |
| 6 | matplotlib | — | Not stated | Web |
| 7 | plotly | — | Not stated | Web |
| 8 | pygal | — | Not stated | Web |
| 9 | bokeh | — | Not stated | Web |
| 10 | QuickChart | — | Not stated | Web |
Vega-Altair provides declarative data visualization tools for Python applications.
teeplot organizes visualization output and names files based on semantic plotting variables.
SolidUI generates graphs from a sentence, according to its repository description.
Seaborn provides statistical data visualization tools and plotting functions for Python.
PyQtGraph provides Python graphics, data visualization, and GUI tools for scientific and engineering applications.
Matplotlib provides Python tools for creating plots and visualizations from data.
Plotly provides an open-source Python library for creating interactive charts and data visualizations.
pygal provides Python tools for creating charts and visualizing data in applications.
Bokeh creates interactive plots, dashboards, and data applications in Python.
QuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.
Hanami provides interactive plotting and charting with ClojureScript and Vega.
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
The globe library creates wireframe visualizations of a sphere using Go code.
JSON Crack is an open source visualization application that turns JSON, YAML, XML, and CSV data into interactive graphs.
RAWGraphs App provides a web interface for creating custom vector-based visualizations with the RAWGraphs core.
torchvista visualizes a PyTorch model’s forward pass in notebooks and can export the visualization as an image, SVG, or HTML.
Apache Superset is an open-source platform for data visualization and exploration.
family-chart is a D3-based library for visualizing interactive family trees, with examples and additional features documented in its repository.
Svgbob converts text-based ASCII diagrams into SVG graphics, with both a library and command-line interface.
Mermaid generates diagrams such as flowcharts and sequence diagrams from text using syntax similar to Markdown.
The bqplot project provides plotting tools for IPython and Jupyter notebook environments.
The draw.io repository contains the JavaScript client-side editor for general diagramming and whiteboarding.
Lux automatically visualizes Pandas DataFrames to support data exploration.
Kroki CLI converts diagram files through the Kroki service, inferring diagram type from the file extension by default.
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative