A data modelling layer built on top of polars and pydantic
β643May 8, 2026Updated 5 months ago
Alternatives and similar repositories for patito
Users that are interested in patito are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A declarative, π»ββοΈ-native data frame validation library.β624Updated this week
- Polars extension for general data science use casesβ659Oct 30, 2026Updated last week
- A data modelling layer built on top of polars and pydanticβ196Jul 29, 2023Updated 3 years ago
- Polars plugin offering eXtra stuff for DateTimesβ237Dec 5, 2025Updated 11 months ago
- Lightweight and extensible compatibility layer between dataframe libraries!β1,747Updated this week
- Wordpress hosting with auto-scaling - Free Trial Offer β’ AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A light-weight, flexible, and expressive statistical data testing libraryβ4,518Updated this week
- Data validation toolkit for assessing and monitoring data quality.β498Updated this week
- A curated list of Polars talks, tools, examples & articles. Contributions welcome !β1,131Updated this week
- Automatically upgrade your Polars code to use the latest syntax availableβ68Jun 18, 2024Updated 2 years ago
- Automated, schema-based JSON unpacking to Polars objectsβ13Sep 14, 2025Updated last year
- Plugins/extension for Polarsβ308Jul 28, 2025Updated last year
- Time-series machine learning at scale. Built with Polars for embarrassingly parallel feature extraction and forecasts on panel data.β1,191May 3, 2026Updated 6 months ago
- Polars plugin for stable hashing functionalityβ98Updated this week
- Extremely lightweight compatibility layer between pandas and Polarsβ41Apr 26, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways β’ AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- How you (yes, you!) can write a Polars Pluginβ167Dec 6, 2025Updated 11 months ago
- Lightweight, engine-agnostic dataframe validationβ18Oct 4, 2025Updated last year
- Geospatial extensions for Polarsβ956Updated this week
- Polars expression plugin that exposes `scipy.stats`-style probability distributionsβ41Updated this week
- the portable Python dataframe libraryβ6,696Updated this week
- Simplifying conditional Polars Expressions with Python π π»ββοΈβ147Updated this week
- Minimal plugin loading package for polars with optional type stub generationβ24Aug 3, 2026Updated 3 months ago
- Make awesome display tables using Pythonβ2,916Updated this week
- Fastest library to load data from DB to DataFrames in Rust and Pythonβ2,659Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits β’ AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- β20Apr 29, 2025Updated last year
- Polars extension for string similarityβ29Apr 25, 2025Updated last year
- Polars Time Series Extensionβ50Updated this week
- Polars plugin for pairwise distance functionsβ110Apr 20, 2025Updated last year
- Apache DataFusion Python Bindingsβ612Updated this week
- Geospatial extension for Polars DataFrames.β204Updated this week
- Polars least squares extension - enables fast linear model polar expressionsβ203Nov 3, 2025Updated last year
- Easy and flexible data contractsβ173Oct 16, 2026Updated 3 weeks ago
- Extremely fast Query Engine for DataFrames, written in Rustβ40,257Updated this week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits β’ AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A fast serialization and validation library, with builtin support for JSON, MessagePack, YAML, and TOMLβ4,210Updated this week
- Make Polars DataFrames Generic Typesβ15Apr 23, 2025Updated last year
- Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing andβ¦β2,624Updated this week
- The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.β832Updated this week
- Just a super thin wrapper for Python tasks that form a flow.β173May 15, 2025Updated last year
- Python client for Polars Cloudβ28Updated this week
- Unbearably fast near-real-time pure-Python runtime-static type-checker.β3,512Updated this week