| ggplot | PandasGUI | |
|---|---|---|
| 3 | 8 | |
| 3,682 | 3,131 | |
| 0.2% | - | |
| 0.0 | 4.3 | |
| over 1 year ago | 5 months ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT No Attribution |
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.
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.
-
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.
PandasGUI
Posts with mentions or reviews of PandasGUI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-31.
- PandasGUI: A GUI for Pandas DataFrames
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GUI for a Dynamically Created Dataframe
This works with plotly but does a lot on its own if visualization isn’t the only thing you need, https://github.com/adamerose/PandasGUI
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Error Message Software Installation
the errors aren't exactly the same, but possible solutions on these two suggest it might be an issue with the version of qt or pyqt that was installed: https://github.com/adamerose/pandasgui/issues/56
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Low-code GUI tools for PySpark?
Similar to the several pandas low-code GUI tools such as [bamboolib](https://bamboolib.8080labs.com) or [PandasGUI](https://github.com/adamerose/PandasGUI), is there something available for PySpark?
- What's the best architecture for communication between a localhost React GUI and local Python app?
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When you've created a finalised dataframe, do any of you convert it into an excel document to help you visualise your data, or am I being inefficient in doing this?
I usually use PandasGui to view or plot DataFrames. If I do export a CSV I'm bringing it into Tabeau or JMP. Excel isn't very good for plotting.
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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'll take this excuse to plug my open source project with a drag and drop UI for quickly making EDA graphs in Plotly https://github.com/adamerose/PandasGUI
What are some alternatives?
When comparing ggplot and PandasGUI you can also consider the following projects:
seaborn - Statistical data visualization in Python
dtale - Visualizer for pandas data structures
Altair - Declarative statistical visualization library for Python
pandastable - Table analysis in Tkinter using pandas DataFrames.
matplotlib - matplotlib: plotting with Python
plotnine - A Grammar of Graphics for Python
modin - Modin: Scale your Pandas workflows by changing a single line of code
bokeh - Interactive Data Visualization in the browser, from 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.