Data validation using Python type hints
An implementation of JSON Schema validation for Python
The JSON Schema meta-schemas and vocabularies, exposed as a Registry
Python Data Validation for Humans™
Simple data validation library
Always know what to expect from your data.
Clean, filter and sample URLs to optimize data collection – includes spam, content type and language filters.
A light-weight and flexible data validation and testing tool for statistical data objects.
Python data validation library
A python library to define and validate data types in Docling.
Lightweight, extensible schema and data validation tool for Pythondictionaries.
Converts a Python dictionary or other native data type into a valid XML string.
Python SHACL Validator
Zero-Configuration Data Quality Framework Powered by Polars
Validation and parsing library
Data management framework for Python that provides functionality to describe, extract, validate, and transform tabular data
A check digit library for data validation
Always know what to expect from your data.
A modern Python data validation library
Collection of 60+ Python functions for validating data
The steps-based Koheesio framework
Test-driven data analysis: command-line tools and Python APIs for data validation, testing analytical pipelines, automatic test generation and more.
A Data Validation Tool for Healthcare Data
Pydantic data models for the STAC spec
Code generation and data validation using CDDL schemas
A declarative, polars-native data frame validation library
Apache Hamilton (incubating) is a lightweight Python library for directed acyclic graphs (DAGs) of transformations. Your DAG is **portable**; it runs anywhere Python runs, whether it's a script, notebook, Airflow pipeline, FastAPI server, etc. Your DAG is **expressive**; Apache Hamilton has extensive features to define and modify the execution of a DAG (e.g., data validation, experiment tracking, remote execution).
Financial crime domain data validation and normalization library.
A plug-and-play JIT implementation for Marshmallow to speed up data serialization and deserialization
Openpyxl-compatible Excel library with a Rust backend: speed up openpyxl code with one import change and edit .xlsx templates without losing formatting, conditional formatting, or data validation. WolfXL 2.0.21 measured 6.7-12.0x faster than openpyxl 3.1.5 on the committed read/write benchmark (small-file gains vary). MIT.
A small module to support automation of generating valid python variable names from external data.
Package that provides scikit-learn compatible cross validators with stratification for multilabel data
A library for exploring and validating machine learning data.
Python library for data validation on DataFrame APIs including Snowflake/Snowpark, Apache/PySpark and Pandas/DataFrame.
A Python package to validate RO-Crates
Python binding (PyO3) for the rust-store multi-backend data engine: GQL parsing, permissions, computed columns and SQL dialect translation for MongoDB, MySQL, SQLite and PostgreSQL
Validates SPDX 3 data files
Validator for the Brain Imaging Data Structure
scikit-learn-compatible cross-validation for time-series and financial machine learning: purging, embargoes, combinatorial purged CV, and deflated Sharpe ratios.
Always know what to expect from your data.
A validation library for Pandas data frames using user-friendly schemas
Converts a Python dictionary or other native data type into a valid XML string.
Generate provider-realistic FOCUS 1.2/1.3 sample data (AWS, Azure, GCP) and convert it to the four FOCUS 1.4 datasets — strictly from source facts, completed by client supplements including native AWS/Azure/GCP exports — with schema detection, gap analysis, a cross-dataset validation gate and atomic writes.
Find out if your data is what you think it is.
Fork of great-expectations with AWS Athena optimizations.
Decorator for REST endpoints in flask. Validate JSON request data.
Goodtables is a framework to inspect tabular data.
Data serialization and validation library
Semantic-less tool for the Semantic Web
A simple library for validating data contained in CSV files or similar row-oriented data sources.