nba-monte-carlo
hanakotoba
nba-monte-carlo | hanakotoba | |
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3 | 1 | |
345 | 1 | |
- | - | |
9.4 | 3.3 | |
11 days ago | 5 months ago | |
Python | HTML | |
MIT License | - |
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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
hanakotoba
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Evidence – Business Intelligence as Code
Thanks for sharing, that looks great! That Datapane example is more a hello world web app that runs Python code in the backend (so requires a backend server - Fly.io in this example).
An example of a standalone report would be something like this, from one of our users: https://cloud.datapane.com/reports/dkjbvwk/literature-in-blo... (code: https://github.com/ryancahildebrandt/hanakotoba) or https://cloud.datapane.com/reports/aAMaqoA/when-fact-is-fals...
What are some alternatives?
jupysql - Better SQL in Jupyter. 📊
evidence - Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
ducker
notebook
Blazer - Business intelligence made simple
WikiSQL - A large annotated semantic parsing corpus for developing natural language interfaces.
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
datapane - Build and share data reports in 100% Python