PyQtGraph
VisPy
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PyQtGraph | VisPy | |
---|---|---|
25 | 4 | |
3,662 | 3,213 | |
1.6% | 0.7% | |
9.1 | 8.8 | |
6 days ago | 2 days ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
PyQtGraph - Interactive and realtime 2D/3D/Image plotting and science/engineering widgets.
- Lets-Plot: An open-source plotting library by JetBrains
- Is 62.5Hz too frequent of a measurement to display live data?
- Does anyone know how i can implement a custom ruler for an image that is on a QGraphicsView Scene. And when i zoom the image, the ruler measurements also automatically get updated. Has anyone implemented something similar that could be shared with me?
- Searching for a not laggy way to plot
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Use cases for PySide
Image, 3D, or data visualization applications using OpenCV and the SciPy ecosystem. The Graphics View Framework can display an image and let the user interact with it, and the Python ecosystem is very rich for image processing, data analysis, and visualization. For example, LabelMe for image labeling, PyQtGraph for scientific graphics, or custom QWidget integration in Maya.
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Help: RecursionError: maximum recursion depth exceeded
I don't think that's related to your error though - from the backtrace, it looks like the plotWidget has plotItem attribute that's somehow been assiged to itself (or maybe some other PlotWidget) , so is just endlessly recursing as it tries to proxy the same attribute lookup (presumably 'clear') to itself. Looking at the source, the plotitem is either created as a new PlotItem() object if not provided, or passed in to the constructor, so I'd check how this gets initialised - eg. does this get set as a property in your .ui file? Are you setting it to the widget itself somehow?
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Microcontroller real time UART interface with PC data plotting (python code not working)
I did something like this recently but I used pyqtgraph: https://www.pyqtgraph.org/
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Stackoverflow Survey 2022 Results
Ah, I agree, Matplotlib is for publication, so slow and pretty. For fast, I use pyqtgraph, which can do that 10 million point plot interaction. And since it's QT, it integrates seamlessly into QT applications.
- Unpopular opinion: Matplotlib is a bad library
VisPy
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
VisPy - High-performance scientific visualization based on OpenGL.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/vispy/vispy
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Seeking library recommendation for 3D visualization of crystal structure
Two similar alternatives you could look at are PyVista which is based on the same framework as Mayavi and VisPy. Mayavi is strongly dependent on the whole Enthought suite which can be a disadvantage if you don’t really use its abilities.
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Show HN: MPL Plotter – Python library to make technical plots more efficiently
2. I recommend Datashader (https://datashader.org/) (HoloViz is super cool) and Vispy (https://vispy.org/). I found Vispy's documentation a bit lacking some time ago, but they probably have improved it since then, and it's very capable. Lastly, check Taichi (https://taichi.graphics/), might not be a conventional data representation library (or rather, not only), but it's amazing and worth a look.
To add some more depth to the Seaborn comparison, and not being an expert Seaborn user, I'd say:
1. MPL Plotter is lighter (but also with less wide-ranging plot options)
What are some alternatives?
matplotlib - matplotlib: plotting with Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
bokeh - Interactive Data Visualization in the browser, from Python
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
seaborn - Statistical data visualization in Python
Graphviz - Simple Python interface for Graphviz
Flask JSONDash - :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.
Cartopy - Cartopy - a cartographic python library with matplotlib support
SnakeViz - An in-browser Python profile viewer