MatsMoll / alignedLinks
The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
☆60Updated 3 weeks ago
Alternatives and similar repositories for aligned
Users that are interested in aligned are comparing it to the libraries listed below
Sorting:
- Extremely lightweight compatibility layer between pandas and Polars☆41Updated last year
- A data modelling layer built on top of polars and pydantic☆197Updated 2 years ago
- Polars plugin for stable hashing functionality☆83Updated 3 months ago
- Polars plugin offering eXtra stuff for DateTimes☆225Updated this week
- Code examples showing flow deployment to various types of infrastructure☆111Updated 2 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated last month
- Project template for Polars Plugins☆80Updated this week
- Coming soon☆62Updated 2 years ago
- Automatically upgrade your Polars code to use the latest syntax available☆65Updated last year
- IbisML is a library for building scalable ML pipelines using Ibis.☆119Updated 4 months ago
- Polars extension for fzf-style fuzzy matching☆31Updated last year
- Make Polars DataFrames Generic Types☆15Updated 7 months ago
- Fast approximate joins on string columns for polars dataframes.☆15Updated last year
- Prefect integrations for working with Docker☆42Updated last year
- A curated list of polars projects and resources.☆39Updated 8 months ago
- Polars plugin for pairwise distance functions☆92Updated 7 months ago
- Read Apache Arrow batches from ODBC data sources in Python☆73Updated last week
- Write your dbt models using Ibis☆73Updated 8 months ago
- A repository of runnable examples using ibis☆46Updated last year
- Typed wrappers over pandas DataFrames with schema validation☆102Updated 2 years ago
- Cloud-agnostic Python API☆60Updated last year
- Arrow, pydantic style☆84Updated 3 years ago
- How you (yes, you!) can write a Polars Plugin☆151Updated last month
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆84Updated this week
- dagster scikit-learn pipeline example.☆46Updated 2 years ago
- Easy and flexible data contracts☆167Updated last month
- Deploy a Prefect flow to serverless AWS Lambda function☆36Updated 3 years ago
- Dask integration for Snowflake☆30Updated 4 months ago
- Compare DuckDB, Polars and Pandas for generating an artificial dataset of persons and companies☆34Updated 2 years ago
- Pipeline definitions for managing data flows to power analytics at MIT Open Learning☆45Updated last week