Our great sponsors
| gr | VisPy | |
|---|---|---|
| 3 | 4 | |
| 673 | 3,213 | |
| - | 0.7% | |
| 0.0 | 8.8 | |
| over 5 years ago | 7 days ago | |
| JavaScript | Python | |
| - | BSD 3-clause "New" or "Revised" 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.
gr
-
What "new-to-you" tool did you recently start using that just changed your workflow for the better?
gr - a tool for managing multiple git repos https://github.com/mixu/gr
-
mani, a CLI Tool to Manage Multiple Repositories
gr
-
Top 10 tools for the full stack developer
gr is a multiple git repository management tool. Managing all the repos in one command is a time saving tool. Check status of all repos? One command. Update all repos? One command. It hasn't been updated in a while but it still works as intended.
VisPy
-
Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
VisPy - High-performance scientific visualization based on OpenGL.
-
Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/vispy/vispy
-
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.
-
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?
gita - Manage many git repos with sanity 从容管理多个git库
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
matplotlib - matplotlib: plotting with Python
mu-repo - Tool to help in dealing with multiple git repositories
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
pyrender - Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.
awless - A Mighty CLI for AWS
bokeh - Interactive Data Visualization in the browser, from Python
meta - tool for turning many repos into a meta repo. why choose many repos or a monolithic repo, when you can have both with a meta repo?
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.