bqplot
Plotting library for IPython/Jupyter notebooks (by bqplot)
ggplot
ggplot port for python (by yhat)
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bqplot | ggplot | |
---|---|---|
1 | 3 | |
3,550 | 3,682 | |
0.5% | 0.2% | |
5.6 | 0.0 | |
about 1 month ago | over 1 year ago | |
TypeScript | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
bqplot
Posts with mentions or reviews of bqplot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-06-01.
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What python library you are using for interactive visualisation?(other than plotly)
didn't see anyone mention bqplot https://github.com/bqplot/bqplot
ggplot
Posts with mentions or reviews of ggplot.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-19.
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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?
When comparing bqplot and ggplot you can also consider the following projects:
matplotlib - matplotlib: plotting with Python
seaborn - Statistical data visualization in Python
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Altair - Declarative statistical visualization library for Python
bokeh - Interactive Data Visualization in the browser, from Python
plotnine - A Grammar of Graphics for Python
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.