atrium
matplotlib
| atrium | matplotlib | |
|---|---|---|
| 1 | 36 | |
| 537 | 19,262 | |
| - | 0.9% | |
| 9.4 | 10.0 | |
| about 11 hours ago | 6 days ago | |
| Kotlin | Python | |
| GNU General Public License v3.0 or later | 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.
atrium
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Hacktoberfest: 69 Beginner-Friendly Projects You Can Contribute To
https://github.com/robstoll/atrium A multiplatform assertion library for Kotlin
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?
strikt - An assertion library for Kotlin
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Kotest - Powerful, elegant and flexible test framework for Kotlin with additional assertions, property testing and data driven testing
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Kluent - Fluent Assertion-Library for Kotlin
pygal - PYthon svg GrAph plotting Library
mockk - mocking library for Kotlin
bqplot - Plotting library for IPython/Jupyter notebooks
hikaku - A library that tests if the implementation of a REST-API meets its specification.
bokeh - Interactive Data Visualization in the browser, from Python
mockito-kotlin - Using Mockito with Kotlin
plotnine - A Grammar of Graphics for Python