ipyvizzu
bokeh
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| ipyvizzu | bokeh | |
|---|---|---|
| 7 | 24 | |
| 923 | 18,812 | |
| 1.6% | 1.0% | |
| 9.1 | 9.5 | |
| about 2 months ago | 1 day ago | |
| Jupyter Notebook | 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.
ipyvizzu
- IPyVizzu: Build animated charts with simple Python syntax
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Show HN: Build, present and share animated data stories in Jupyter Notebook
We built this presentation extension of our open-source charting tool ipyvizzu (https://github.com/vizzuhq/ipyvizzu) because we learnt from the interviews and feedback from data scientists that they struggle with presenting and sharing the results of their analysis with less tech savvy people.
Here's a live example: https://vizzuhq.github.io/ipyvizzu-story/examples/demo/ipyvi...
What do you think?
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Hacker News top posts: Apr 3, 2022
Show HN: ipyvizzu – open-source animated charts in Jupyter Notebooks\ (0 comments)
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Show HN: Ipyvizzu – animated charts in Jupyter Notebooks
Not yet, unfortunately, I've opened an issue in our tracker for slideshow support: https://github.com/vizzuhq/ipyvizzu/issues/102
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ipyvizzu - create animated charts in Jupyter Notebook using Python with this open-source tool
More info, tutorial & examples: https://github.com/vizzuhq/ipyvizzu
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?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
seaborn - Statistical data visualization in Python
folium - Python Data. Leaflet.js Maps.
Altair - Declarative statistical visualization library for Python
dash - Data Apps & Dashboards for Python. No JavaScript Required.
matplotlib - matplotlib: plotting with Python
ggplot - ggplot port for python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
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.