ibis
nba-monte-carlo
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ibis | nba-monte-carlo | |
---|---|---|
22 | 3 | |
4,041 | 335 | |
7.2% | - | |
10.0 | 9.4 | |
7 days ago | 11 days ago | |
Python | Python | |
Apache License 2.0 | MIT 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.
ibis
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This Week In Python
ibis – portable Python dataframe library
- Ibis: The portable Python dataframe library
- FLaNK Stack 26 February 2024
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Quarto
The main benefit is that you get a Python (or R, Julia or Rust) interpreter. So you can evaluate code. A good example of the value of this is the Ibis docs which use Quarto: https://ibis-project.org/
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Polars – A bird's eye view of Polars
Ive found polars quite intuitive, though for python, I lean more towards [ibis](https://ibis-project.org/). The interface is nearly identical, but ibis has the benefit if building sql queries before pulling any actual data (like dbplyr) — whereas polars requires the data to be in-memory (at least for rdb’s, though correct me if Im wrong)
this to me seems like a good argument for only using ibis, but Im happy to be convinced otherwise
- Ibis – Universal Interface for Data Wrangling
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Vanna.ai: Chat with your SQL database
Please add Ibis Birdbrain https://ibis-project.github.io/ibis-birdbrain/ to the list. Birdbrain is an AI-powered data bot, built on Ibis and Marvin, supporting more than 18 database backends.
See https://github.com/ibis-project/ibis and https://ibis-project.org for more details.
- Ibis
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How to Use Pandas for Data Analysis
Ibis: The portable Python dataframe library
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?
snowflake-connector-python - Snowflake Connector for Python
jupysql - Better SQL in Jupyter. 📊
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
ducker
Apache Impala - Apache Impala
Blazer - Business intelligence made simple
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
octosql - OctoSQL is a query tool that allows you to join, analyse and transform data from multiple databases and file formats using SQL.
sqlite_scanner - DuckDB extension to read and write to SQLite databases
hanakotoba - Exploring 花言葉 in Japanese and other literary corpora
katacoda
nodejs-polars - nodejs front-end of polars