notebook
nba-monte-carlo
notebook | nba-monte-carlo | |
---|---|---|
2 | 3 | |
4 | 345 | |
- | - | |
3.0 | 9.4 | |
about 1 year ago | 11 days ago | |
TypeScript | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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notebook
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Evidence – Business Intelligence as Code
How about something like [`input`](magic-link)? I came up with this for https://codeberg.org/macchiato ( though it's not yet implemented in the new project, just in the predecessor, https://github.com/ResourcesCo/notebook ). The backquotes differentiate from non-magic links. (I tried badges, but they aligned weirdly.)
You could use [`data.mrr`](https://evidence.dev/md/value) or any other internal DSL you can come up with.
Another thing you could do is just decide against MDX the format and keep the style and transform inline codeblocks that match.
That you said Markdown to me says you aren't on board with using an incompatible syntax.
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Markdown, Asciidoc, or reStructuredText – a tale of docs-as-code
Markdown can literally be code. RMarkdown is this. Before I learned of RMarkdown I had written something to extract code blocks with filenames that are visible in the rendered page (since hiding it at the end of the first triple backquote codefence isn't great for visibility). I'm currently working on a notebook tool. https://github.com/ResourcesCo/macchiato/blob/main/scripts/m... https://github.com/ResourcesCo/notebook
nba-monte-carlo
- Monte Carlo simulation of the NBA season (meltano, dbt, DuckDB, evidence)
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Evidence – Business Intelligence as Code
We have support for duckdb (and CSVs and Parquet through duckdb). We don't support python, but some people have also told us they have used evidence as the front-end for a python project - used python to do data transformation and calculations, then dumped the results into a duckdb file in an evidence project and built the visuals and narrative in evidence.
"Containerized" approaches with evidence are also quite interesting - lets you combine several tools and use evidence as the last mile. Here's a great example: https://github.com/matsonj/nba-monte-carlo
- DuckDB: Querying JSON files as if they were tables
What are some alternatives?
eleventy-plugin-asciidoc - Eleventy plugin to add support for AsciiDoc.
jupysql - Better SQL in Jupyter. 📊
ducker
examples - TensorFlow examples
Blazer - Business intelligence made simple
iommi - Your first pick for a django power cord
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora
djot - A light markup language
datapane - Build and share data reports in 100% Python