ipyvizzu-story
ipyvizzu
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| ipyvizzu-story | ipyvizzu | |
|---|---|---|
| 11 | 6 | |
| 258 | 781 | |
| 7.0% | 5.0% | |
| 9.4 | 9.2 | |
| 7 days ago | 2 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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ipyvizzu-story
- Show HN: Open-source animated chart presentations in computational notebooks
- Show HN: Ipyvizzu-story – animated data stories in Jupyter Notebook
- Show HN: Build, present and share animated data stories in Jupyter Notebook
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New open-source tools to build animated chart presentations in Jupyter notebook and Javascript
Jupyter/Python extension: https://github.com/vizzuhq/ipyvizzu-story
ipyvizzu
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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
I work in the small team that created Vizzu (https://news.ycombinator.com/item?id=28895897), and now we've integrated our tool into Jupyter Notebooks to help data scientists and analysts present the results of their work easier.
ipyvizzu uses our open-source Javascript/C++ library, utilizing its generic dataviz engine that generates many types of charts and seamlessly animates between them. It is designed for building animated data stories as it enables showing different perspectives of the data that the viewers can easily follow.
Next to creating a Python API, we added extra features for this integration, like using data from a Pandas dataframe and auto-scrolling to keep the chart in position while executing multiple cells.
We would love to know what you think about it and how we should improve ipyvizzu.
Not yet, unfortunately, I've opened an issue in our tracker for slideshow support: https://github.com/vizzuhq/ipyvizzu/issues/102
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.
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications
bqplot - Plotting library for IPython/Jupyter notebooks
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.
ggplot - ggplot port for python
VisPy - Main repository for Vispy
matplotlib - matplotlib: plotting with Python
bokeh - Interactive Data Visualization in the browser, from Python
folium - Python Data. Leaflet.js Maps.
plotnine - A grammar of graphics for Python
diagrams - :art: Diagram as Code for prototyping cloud system architectures