videos from SciPy 2024 are live! here's my talk on a vision for composable interactive data visualization with #anywidget
videos from SciPy 2024 are live! here's my talk on a vision for composable interactive data visualization with #anywidget
i keep finding fun/interesting workflows that fall out of quak's query-based design
example: define a table subset interactively, copy the SQL, and run it in
@duckdb cli to build unix pipelines
kudos to @Posit for adding support for Jupyter Widgets in Positron IDE!
just fixed a scroll behavior issue, and now quak works swimmingly in VS Code (left) and Positron (right) thanks to #anywidget
quak ๐ฆ v0.1.3 adds a hover indicator for summary histograms, thanks to @dvdkouril
Thrilled @marimo_io is standardizing on #anywidget for their plugin API! Our projects are really well aligned, pushing widget interactivity beyond Jupyter.
Learn more in our blog post: https://marimo.io/blog/anywidget
couldn't help myself and made a very crude but working #rstats #htmlwidget out of @manzt new quak
https://github.com/timelyportfolio/quak/tree/htmlwidget/htmlwidget
The core idea in quak is that all table state is expressed via database queries. User interactions produce SQL, executed lazily at the database level (DuckDB) to refresh data views.
This SQL can also be accessed in Jupyter to materialize data subsets for further analysis.
Excited to introduce quak ๐ฆ (https://github.com/manzt/quak) a scalable, interactive data profiler built with #anywidget.
- ๐ฑ๏ธ crossfilter & sort millions of rows in real time
- ๐ supports any Apache Arrow __dataframe__
- โก powered by Mosaic & DuckDB
- ๐ materialize data subsets back in Jupyter