Curtail
matplotlib
| Curtail | matplotlib | |
|---|---|---|
| 1 | 36 | |
| 338 | 19,310 | |
| - | 1.1% | |
| 8.1 | 10.0 | |
| 2 days ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Python License 2.0 |
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.
Curtail
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Support JPEG XL - Mozilla Connect Ideas
If someone can help the Yoga batch image converter implement JPEG XL and/or help the Curtail batch image converter do the same, that would be very nice. In the meantime you can use GIMP or Squoosh to convert one image at a time. There probably are some commandline scripts out there to do batch conversions, too, and there's always the official "cjxl" tool provided by the JPEG XL reference implementation project...
matplotlib
- How and where is matplotlib package making use of PySide?
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/matplotlib/matplotlib
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Tkinter, PyGame windows too large on Mac
as suggested here.
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[OC] Attempted & Completed Suicide Rate in Canada, 1998/99
Tool: Matplotlib Pyplot
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Help unpickling an old dataset
The issue was described here: https://github.com/matplotlib/matplotlib/issues/8409, but the "solution" was just "this is fixed" which was not helpful to me.
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The Python Packages That Gave Me Nightmares: A Guide to Overcoming Common Challenges
Matplotlib: Matplotlib is a 2D plotting library that allows you to create visualizations of your data. It's a powerful tool for data analysis, but the syntax can be complex and the customization options can be overwhelming. GitHub - https://github.com/matplotlib/matplotlib
- pcolormesh very slow when using "log" axes
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Question: What is matplotlib short for?
A quick google shows: this history.txt:
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Linear Regression
Let's take a small subset i.e 20 data points of our prediction and compare it with actual output using matplotlib library
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Where to find a dynamic charge density animation/simulation?
I will think more about what I want to say next, but for now, I would like to say that I need the super-particles and PIC methods as I think that is the way forward for me. Are there ways to implement these methods in matplotlib, Visit or Paraview? Do I take existing code and import it into those programs to visualize it? Or can I directly program/simulate something in those visualizion tools without needing to import any code?
What are some alternatives?
yoga-image-optimizer - A graphical tool to convert and optimize JPEG, PNG and WebP images (based on YOGA)
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
pywebview - Build GUI for your Python program with JavaScript, HTML, and CSS
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
conjure - Magically transform your images.
pygal - PYthon svg GrAph plotting Library
Capra-Cleaver - Cut videos losslessly using ffmpeg
bqplot - Plotting library for IPython/Jupyter notebooks
tamp - Tamp is a low-memory, DEFLATE-inspired lossless compression library.
bokeh - Interactive Data Visualization in the browser, from Python
squoosh - Make images smaller using best-in-class codecs, right in the browser.
plotnine - A Grammar of Graphics for Python