chartify
bokeh
| chartify | bokeh | |
|---|---|---|
| 1 | 24 | |
| 3,485 | 18,848 | |
| 0.3% | 0.7% | |
| 3.0 | 9.5 | |
| about 2 months ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | BSD 3-clause "New" or "Revised" 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.
chartify
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My Year in Review: Hey there!
For more small wins in open source, the Spotify team added an article I wrote about Spotify's Chartify as an official resource. I was also able to make a tiny doc fix to Microsoft Power BI's documentation. This is a tool I use a lot, so saying this felt awesome would be an understatement.
bokeh
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Mastering Matplotlib: A Step-by-Step Tutorial for Beginners
Bokeh - Interactive Web Plotting for Python.
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Top 10 growing data visualization libraries in Python in 2023
Github: https://github.com/bokeh/bokeh
- Bokeh Python Library for Interactive Visualizations
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Best data visualisation library
If you don’t mind passing html around this library allows you to share full interactive plot:
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Emerging Rust GUI libraries in a WASM world
It sounds like you want BokehJS. It was one of the alternatives I was recommended while I was exploring, but for various reasons my particular use case is not so easy to integrate (plus my backend was already in Rust).
https://github.com/bokeh/bokeh
I did do a basic test, and the raw rects-on-screen performance is roughly comparable to my final solution.
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What Python modules can I use to create my own indicators? Like the indicator below, I very new to Python so please don’t be rude
I just came across this: https://bokeh.org/
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Interactive plots
Take a look at Bokeh. https://bokeh.org/
- December goals
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[OC] The Criminal Podcast's intros have gotten longer over time
I recorded all 200 "I'm Phoebe Judge, this is Criminal" intros from the Criminal podcast, measured the length, and plotted using python's Bokeh package.
- What's the most scalable visualization library?
What are some alternatives?
DearBagPlayer - DearBagPlayer is a flexible rosbag player based on Dear PyGui in Python.
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Getting-started-in-Technical-Writing - A compilation of useful resources for anyone who wants to get started in technical writing.
seaborn - Statistical data visualization in Python
WKTPlot - Visualization library for well-known-text strings and shapely geometries.
Altair - Declarative statistical visualization library for Python
chord - Engaging visualisations, made easy.
matplotlib - matplotlib: plotting with Python
basemap - Plot on map projections (with coastlines and political boundaries) using matplotlib
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
folium - Python Data. Leaflet.js Maps.