ibis
store
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| ibis | store | |
|---|---|---|
| 23 | 2 | |
| 4,074 | 256 | |
| 7.9% | - | |
| 10.0 | 2.5 | |
| 7 days ago | about 1 year ago | |
| Python | Ruby | |
| 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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Show HN: Hashquery, a Python library for defining reusable analysis
I really don't understand the appeal of dbt vs a proper programming language. The templating approach leads to massive spaghetti. I look forward to trying out something like Ibis [0]
0: https://ibis-project.org/
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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
store
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A Critique of SQL, 40 Years Later
Cool! I do this, but I haven't seen anyone else do it. Is any of your code public?
I wrote about it at https://sive.rs/pg
and posted my SQL shopping cart at https://github.com/sivers/store
Please contact me if you'd like to share tips: https://sive.rs/contact
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Single Dependency Stacks
Also:
https://sive.rs/pg2 - Simplify: move code into database functions
https://sive.rs/pg - PostgreSQL example of self-contained stored procedures
some linked examples: https://github.com/sivers/store/tree/master/store/functions
I like this idea in theory ... although it would cause me to need to know a lot more SQL, which is a powerful but hostile language :-/
I care about factoring stuff out into expressions / functions and SQL fails in that regard ...
https://www.scattered-thoughts.net/writing/against-sql/
It's hard to imagine doing this with a ton of duplication. I have written SQL by hand and there are probably more confusing corners than shell, which is saying a lot (and which I didn't have too hard a time learning)
What are some alternatives?
snowflake-connector-python - Snowflake Connector for Python
bolt
PySpark-Boilerplate - A boilerplate for writing PySpark Jobs
Apache Impala - Apache Impala
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
sqlite_scanner - DuckDB extension to read and write to SQLite databases
katacoda
nodejs-polars - nodejs front-end of polars
django-clickhouse - This project's goal is to build Yandex ClickHouse database into Django project.
prql - PRQL is a modern language for transforming data — a simple, powerful, pipelined SQL replacement
xonsh - :shell: Python-powered, cross-platform, Unix-gazing shell.
splink - Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends