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I see so many beautiful charts made with R. And not that many made with Python. So I wanted to prove that it was doable with Python too! I wrote 22 tutorials to create stunning charts I love with Matplotlib. Why are R people creating more polished charts??
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Many JS libraries exist to build graphs on the web (Vega, chartJS, Plotly...). They allow to make charts quickly. But you lose flexibility: you're limited by the options they offer. I just created a gallery with hundreds of graphs made with d3.js and React. - Examples are split by graph types - They all come with explanation and code sandboxes - Gradual complexity to ease the learning curve It took me ages to create this project! Feedback welcome!
2023 · react-graph-gallery.com
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There are a lot of Python to web app frameworks going around these days but I wanted something that was a little more lightweight that just generates HTML pages and can be embedded in Flask or other Python web servers incrementally. PyVibe uses Python components to construct a page with styling that you can use in Flask, in a static site, or even in Pyodide.
2023 · pyvibe.com
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Hi HN! This is my pet project, written from scratch because there is so much to discover and learn in the process. The focus is on simplicity and incremental updates. Progress is slow because I do not have much spare time to work on this, but I would love to hear some feedback. Regards
2022 · github.com
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Just wanted to share with HN a simple/minimal open source Python library that generates SVG files visualizing two dimensional data and distributions, in case others find it useful or interesting. I wrote it as a fun project, mostly because I found that the standard libraries in Python generated unnecessarily large SVG files. One nice property is that I can configure the visuals through CSS, which allows me to support dark/light mode browser settings. The graphs are specified as JSON files (the repository includes a few examples). It supports scatterplots, line plots, histograms,…
Mar 2026 · github.com
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2022 · github.com
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What: Mr. Graph is a python library designed to make composing graphs of sync and async functions easy! Use google style docstrings to automagically create dataclasses and chain together function calls into graphs. Why: I like the design of Dagster, but not the latency. For apps and systems engineering, sometimes I want to compose a graph out of regular python functions. I don;t need all the heavy machinery that comes with a full workflow engine. Current features: - Use with either async or sync functions - Uses google style doc strings to name return values. - Creates dataclasses for each…
2023 · mr-graph.readthedocs.io
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Turn CSV & Excel files into charts in seconds
Apr 2026 · embedful.io
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