Vega-Altair is a Python library for declarative statistical visualization.
The Best PyQtGraph Alternatives in 2026
Looking for something like PyQtGraph? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 11 are open source.
PyQtGraph provides Python graphics, data visualization, and GUI tools for scientific and engineering applications.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | altair | — | Yes | — |
| 2 | plotly | — | Not stated | Web |
| 3 | altair | — | Not stated | Web |
| 4 | matplotlib | — | Not stated | Web |
| 5 | Seaborn | — | Not stated | Web |
| 6 | pygal | — | Not stated | Web |
| 7 | bokeh | — | Not stated | Web |
| 8 | teeplot | — | Yes | — |
| 9 | SolidUI | — | Yes | — |
| 10 | QuickChart | — | Not stated | Web |
All PyQtGraph alternatives
plotly
plotly.com/pythonPlotly provides an open-source Python library for creating interactive charts and data visualizations.
altair
altair-viz.github.ioVega-Altair provides declarative data visualization tools for Python applications.
matplotlib
matplotlib.orgMatplotlib provides Python tools for creating plots and visualizations from data.
Seaborn
seaborn.pydata.orgSeaborn provides statistical data visualization tools and plotting functions for Python.
pygal
pygal.org/en/stablepygal provides Python tools for creating charts and visualizing data in applications.
bokeh
bokeh.orgBokeh creates interactive plots, dashboards, and data applications in Python.
teeplot organizes visualization output and names files based on semantic plotting variables.
SolidUI generates graphs from a sentence, according to its repository description.
QuickChart
quickchart.ioQuickChart generates chart images through an API that can embed visualizations in emails, reports, and other platforms.
JSON Crack is an open source visualization application that turns JSON, YAML, XML, and CSV data into interactive graphs.
Apache Superset is an open-source platform for data visualization and exploration.
This Datawrapper repository contains shared JavaScript utility functions for client-side data visualization, released under the MIT license.
ipychart brings Chart.js plotting capabilities to Python and notebook workflows.
The Data Visualisation Catalogue explains chart types and techniques, with a searchable library organized by visualization function.
RAWGraphs App provides a web interface for creating custom vector-based visualizations with the RAWGraphs core.
The globe library creates wireframe visualizations of a sphere using Go code.
torchvista visualizes a PyTorch model’s forward pass in notebooks and can export the visualization as an image, SVG, or HTML.
ggplot2
ggplot2.tidyverse.orgggplot2 creates declarative data visualizations based on the Grammar of Graphics.
Lux automatically visualizes Pandas DataFrames to support data exploration.
raw
rawgraphs.ioRAWGraphs is a free, open-source tool for creating data visualizations.
D3.js
d3js.orgFor custom data visualizations in JavaScript, D3.js provides tools for scales, axes, transitions, and DOM updates.
ZingChart
zingchart.comMore than 50 chart types and modules are available in ZingChart, a JavaScript library for data visualization projects.
nivo
nivo.rocksnivo provides reusable data visualization components for applications built with React.
Alternatives to similar tools
What is the best alternative to PyQtGraph?
Is there a free alternative to PyQtGraph?
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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






















