nba-monte-carlo
| nba-monte-carlo | duckdb-extension-framework | |
|---|---|---|
| 3 | 1 | |
| 345 | 54 | |
| - | - | |
| 9.4 | 0.6 | |
| 11 days ago | 6 days ago | |
| Python | Rust | |
| MIT License | MIT License |
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nba-monte-carlo
- Monte Carlo simulation of the NBA season (meltano, dbt, DuckDB, evidence)
-
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
duckdb-extension-framework
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DuckDB: Querying JSON files as if they were tables
To answer myself, I've found a project which enables extension development for DuckDB using Rust[0].
[0]: https://github.com/Mause/duckdb-extension-framework
What are some alternatives?
jupysql - Better SQL in Jupyter. 📊
trustfall - A query engine for any combination of data sources. Query your files and APIs as if they were databases!
ducker
Blazer - Business intelligence made simple
ayb - ayb makes it easy to create databases, share them with collaborators, and query them from a web application or the command line
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
ibis - the portable Python dataframe library
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora