|2 days ago||10 months ago|
|BSD 3-clause "New" or "Revised" 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.
I used a new dataframe library (polars) to wrangle 300M prices and discover some of the most expensive hospitals in America. Code/notebook in article
2 projects | reddit.com/r/Python | 9 May 2022
Hi all, I used polars (a new dataframe library built in rust) to do some data wrangling that would not have been possible in pandas. Altair was used for the visualizations (python wrapper for Vega-Lite.) I'm slowly moving away from Matplotlib.
Ask HN: What are some examples of elegant software?
22 projects | news.ycombinator.com | 2 May 2022
A chart walks into a bar: Altair vs. leather
3 projects | dev.to | 26 Mar 2022
For this first installment, let's create a bar chart using Altair and then leather. The dataset looks like this:
[OC] Starting salary for US universities based on their Times World Ranking and school type
1 project | reddit.com/r/dataisbeautiful | 14 Mar 2022
Python Altair library: https://altair-viz.github.io/
How to configure Vega-Embed for a single Altair chart?
2 projects | dev.to | 2 Mar 2022
By default, in the upper right corner of each Altair chart, there is a dropdown menu with various options. This menu comes with Vega-Embed, the package used under the hood to render the charts.
How do people package Altair themes?
6 projects | dev.to | 24 Feb 2022
In Altair, we can create custom and shareable themes to apply to different charts. So, several Python packages are available with these themes ready to go. Considering four examples, let's see how other people package their Altair themes. For more information before we talk about them, check the Altair Themes section available in the documentation.
What's your favorite data visualization tool for Python and why ?
2 projects | reddit.com/r/datascience | 18 Feb 2022
If I want quick and dirty then it's pandas plotting. If I want it pretty then it's Altair. It's beautiful and so well maintained.
Show HN: Plost – a deceptively simple plotting library
2 projects | news.ycombinator.com | 11 Feb 2022
Which Python visualization module to use for research-quality graphs?
2 projects | reddit.com/r/learnpython | 24 Jan 2022
I find Altair to be the most beautiful out of the box.
Generating visualizations from data for web pages
1 project | reddit.com/r/rust | 15 Dec 2021
We haven't tracked posts mentioning Flask JSONDash yet.
Tracking mentions began in Dec 2020.
What are some alternatives?
plotly - The interactive graphing library for Python (includes Plotly Express) :sparkles:
bokeh - Interactive Data Visualization in the browser, from Python
seaborn - Statistical data visualization in Python
ggplot - ggplot port for python
plotnine - A grammar of graphics for Python
folium - Python Data. Leaflet.js Maps.
matplotlib - matplotlib: plotting with Python
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
bqplot - Plotting library for IPython/Jupyter notebooks
ggplot2 - An implementation of the Grammar of Graphics in R