PyQtGraph VS VisPy

Compare PyQtGraph vs VisPy and see what are their differences.

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PyQtGraph VisPy
27 6
4,050 3,412
1.8% 1.0%
9.3 7.4
13 days ago 5 days ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

PyQtGraph

Posts with mentions or reviews of PyQtGraph. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2025-03-11.

VisPy

Posts with mentions or reviews of VisPy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-10-25.

What are some alternatives?

When comparing PyQtGraph and VisPy you can also consider the following projects:

plotly - The interactive graphing library for Python :sparkles:

matplotlib - matplotlib: plotting with Python

bokeh - Interactive Data Visualization in the browser, from Python

pyvista - 3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

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Judoscale integrates with Django, FastAPI, Celery, and RQ to make autoscaling easy and reliable. Save big, and say goodbye to request timeouts and backed-up task queues.
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InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com
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