ipyvizzu
ggplot
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ipyvizzu | ggplot | |
---|---|---|
7 | 3 | |
923 | 3,682 | |
1.6% | 0.2% | |
9.1 | 0.0 | |
about 2 months ago | over 1 year 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
ggplot
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Best tools for good looking tables and piecharts
Seaborn is based on matplotlib and quite modern. Coming from R and used to ggplot (which is also available in python) I really like it.
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Which Python visualization module to use for research-quality graphs?
If you're familiar with R, there's always ggplot.
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Plotting in R's ggplot2 vs Python's Matplotlib: Is it just me or is ggplot2 WAY smoother of an experience than Matplotlib?
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.
What are some alternatives?
plotly - The interactive graphing library for Python :sparkles: This project now includes Plotly Express!
seaborn - Statistical data visualization in Python
Redash - Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.
Altair - Declarative statistical visualization library for Python
folium - Python Data. Leaflet.js Maps.
matplotlib - matplotlib: plotting with Python
dash - Data Apps & Dashboards for Python. No JavaScript Required.
plotnine - A Grammar of Graphics for Python
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.
bokeh - Interactive Data Visualization in the browser, from Python
PyQtGraph - Fast data visualization and GUI tools for scientific / engineering applications