PySpark-Boilerplate
ibis
| PySpark-Boilerplate | ibis | |
|---|---|---|
| 1 | 23 | |
| 390 | 4,208 | |
| - | 5.8% | |
| 2.5 | 10.0 | |
| 3 months ago | 5 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
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PySpark-Boilerplate
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
What are some alternatives?
Optimus - :truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
snowflake-connector-python - Snowflake Connector for Python
cookiecutter-django - Cookiecutter Django is a framework for jumpstarting production-ready Django projects quickly.
Apache Impala - Apache Impala
etl-markup-toolkit - ETL Markup Toolkit is a spark-native tool for expressing ETL transformations as configuration
pangres - SQL upsert using pandas DataFrames for PostgreSQL, SQlite and MySQL with extra features
soda-spark - Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes
sqlite_scanner - DuckDB extension to read and write to SQLite databases
Traffic-Data-Analysis-with-Apache-Spark-Based-on-Mobile-Robot-Data - Mobile robot data were analyzed with Apache-Spark to extract five different statistical result such as travel time, waiting time, average speed, occupancy and density were produced.
katacoda
tdigest - t-Digest data structure in Python. Useful for percentiles and quantiles, including distributed enviroments like PySpark
nodejs-polars - nodejs front-end of polars