Top 23 Python Data Visualization Projects
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In addition to streamlit suggested by /u/Goobyalus, also take a look at Plotly's opensource Dash which includes dynamic tables.
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Diagrams as Code based on graphviz; for prototyping cloud system architectures
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Scout APM
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
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Project mention: Anyone know of a great live viz tool for high-volume data? | reddit.com/r/visualization | 2021-11-25
Try bokeh
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In terms of data visualisation, another library you may want to consider is Dash. Real Python tutorial here. Dash generates React components on the fly to make nice data visualisations and it integrates well with pandas. I don't recommend Dash if you need a high level of customisation though.
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matplotlib + their User's Guide.
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Project mention: 12 ways to get more GitHub stars for your open-source project | dev.to | 2022-01-16
Here are some projects with great documentation: a) https://docs.nestjs.com/ b) https://docs.n8n.io/ c) https://guides.rubyonrails.org/ d) https://plotly.com/python/ e) https://docs.mapbox.com/
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SonarQube
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
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My understanding is the Altair package https://altair-viz.github.io/ from the Python world does this: Python code generates a Vega-Lite https://vega.github.io/vega-lite/ specification along with the raw data output as json, and these then can be bundled together into a webpage where the vega.js Javascript-based renderer then does the actual visualization work in the browser. Does a similar project for Rust exist? What do you use when you want to e.g. serve a dashboard from Rust and need visualizations?
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I put my portfolio on Blogger. All my maps were created using folium and the blog post was just a jupyter notebook. That way you can export the code, formatting, and interactive folium maps as an HTML page, paste it into Blogger and you have a super slick interactive map online! You could put static maps up in this way, too. Employers really liked this as I could show all my work...
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Project mention: I automated my job over a year ago and haven't told anyone. | reddit.com/r/antiwork | 2022-01-12
Interesting, never heard about TK or QT. I've been using streamlit and Gradio as GUIs for my Python scripts which have been awesome but it seems like comparing to something like QT that it is much more robust and customizable than what I'm using.
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Project mention: Plotting in R's ggplot2 vs Python's Matplotlib: Is it just me or is ggplot2 WAY smoother of an experience than Matplotlib? | reddit.com/r/datascience | 2021-04-03
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.
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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.
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"On the simpler side". Do you mean with a graphical interface? Then, orange would be a nice solution. https://orangedatamining.com/
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Project mention: For all the python/pandas users out there I just released a bunch of UI updates to the free visualizer, D-Tale | reddit.com/r/algotrading | 2021-04-12
analysis of "Missing" data using the missingno package is now available in a sliding side panel enlarge or download PNG files for matrix/bar/heatmap/dendrogram charts generated using missingno
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If you are familiar with R or ggplot, I recommend using plotnine. It implements ggplot2 (the well-known graphics package for R) in Python. In fact, plotnine is just a wrapper of matplotlib. However, it is a little more convenient than pure matplotlib.
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Project mention: Show HN: MPL Plotter – Python library to make technical plots more efficiently | news.ycombinator.com | 2021-05-14
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)
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I would suggest PyQt or PySide (depends on the liscence) for the GUI and PyQtGraph for the graphs. It’s been a while since I built interfaces like this but I used to do it a lot for displaying incoming data from sensors and it was a good experience.
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Project mention: Wind and Solar power generation in Europe almost perfectly mirrors each other. Source: IEA | reddit.com/r/energy | 2022-01-12
For electritymap, is there a source for the updated capacity for other sources ? It looks like the capacities are updated manually ( https://github.com/electricitymap/electricitymap-contrib/pull/3632/commits/b8881f33a7d5fe641faa55cad43f75a6c1428f4a ) and I couldn't find an up-to-date document for other sources. If you can provide one I'll be happy to do a PR (contribution) to fix that as it's open source.
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Project mention: Automated Data Profiling and Attribute Clustering using unsupervised ML techniques | reddit.com/r/datascience | 2021-07-03
Take a look at this package which computes associations between variables and other viz and can infer some types https://github.com/fbdesignpro/sweetviz
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Project mention: Pyheatmagic: Profile and view your Python code as a heat map | news.ycombinator.com | 2021-11-02
I've always used snakeviz with the stdlib profiler https://jiffyclub.github.io/snakeviz/
In prod, the pyinstrument profiler has worked well for me https://pyinstrument.readthedocs.io/en/latest/guide.html#pro...
Python Data Visualization related posts
Index
What are some of the best open-source Data Visualization projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | streamlit | 17,351 |
| 2 | diagrams | 15,934 |
| 3 | bokeh | 15,921 |
| 4 | dash | 15,747 |
| 5 | matplotlib | 14,900 |
| 6 | plotly | 10,828 |
| 7 | seaborn | 9,094 |
| 8 | Altair | 7,216 |
| 9 | best-of-ml-python | 6,188 |
| 10 | folium | 5,580 |
| 11 | gradio | 4,755 |
| 12 | ggplot | 3,616 |
| 13 | Flask JSONDash | 3,220 |
| 14 | orange | 3,211 |
| 15 | missingno | 3,045 |
| 16 | dtale | 2,936 |
| 17 | plotnine | 2,916 |
| 18 | VisPy | 2,794 |
| 19 | PyQtGraph | 2,689 |
| 20 | pygal | 2,427 |
| 21 | electricitymap-contrib | 2,183 |
| 22 | sweetviz | 1,883 |
| 23 | SnakeViz | 1,633 |
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