hobbits
PyQtGraph
hobbits | PyQtGraph | |
---|---|---|
6 | 25 | |
632 | 3,674 | |
0.5% | 0.9% | |
0.0 | 9.3 | |
about 1 month ago | 4 days ago | |
Python | Python | |
MIT License | MIT License |
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.
hobbits
- Hobbits is a software platform for analyzing, processing, and visualizing bits
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binocle: I built a graphical tool to visualize binary data
I've used hobbits before, is this any different?
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Once again recieved SpaceX Falcon9 S-Band Telemetry, once again confirmed its encrypted..
Hobbits
- Newly open-sourced bitstream viewer/analysis/processing GUI
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I Took A Look At The Binary Contents Of
Then for visualization of the data you can use something like hobbits.
- Hobbits – multi-platform GUI for bit-based analysis, processing, visualization
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
What are some alternatives?
HexWalk - Hex Viewer/Editor/Analyzer compatible with Linux/Windows/MacOS
matplotlib - matplotlib: plotting with Python
binocle - a graphical tool to visualize binary data
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
tesla-charge-port-signal - Guided reverse engineering of Tesla's charge port remote control signal
VisPy - Main repository for Vispy
bokeh - Interactive Data Visualization in the browser, from Python
seaborn - Statistical data visualization in Python
Graphviz - Simple Python interface for Graphviz
Cartopy - Cartopy - a cartographic python library with matplotlib support
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.
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.