Our great sponsors
| gr | ggplot | |
|---|---|---|
| 3 | 3 | |
| 673 | 3,682 | |
| - | 0.2% | |
| 0.0 | 0.0 | |
| over 5 years ago | over 1 year 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
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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
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mani, a CLI Tool to Manage Multiple Repositories
gr
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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.
ggplot
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Best tools for good looking tables and piecharts
Seaborn is based on matplotlib and quite modern. Coming from R and used to ggplot (which is also available in python) I really like it.
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Which Python visualization module to use for research-quality graphs?
If you're familiar with R, there's always ggplot.
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Plotting in R's ggplot2 vs Python's Matplotlib: Is it just me or is ggplot2 WAY smoother of an experience than Matplotlib?
I'd agree in that it's a well-specified language for defining graphics; it's not very good with rendering performance. There are packages which try to achieve similar goals in Python as well (ggplot / ggpy) and packages like Seaborn. Though, like you, I use R for lots of EDA. Hard to beat data.table and R graphics for speed and expressiveness. I prefer base graphics though; ggplot2 tends to render too slowly for any data sets I work with.
What are some alternatives?
gita - Manage many git repos with sanity 从容管理多个git库
seaborn - Statistical data visualization in Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
Altair - Declarative statistical visualization library for Python
mu-repo - Tool to help in dealing with multiple git repositories
matplotlib - matplotlib: plotting with Python
plotnine - A Grammar of Graphics for Python
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.