Data Validation

High-Performance Data Validation for Python

Complete solution for extracting currency pair quotes data. With comprehensive testing, parameter validation, flexible configuration management, Hexagonal Architecture, CI/CD pipelines, code quality tools, and detailed documentation.

A small module to support automation of generating valid python variable names from external data.

Data validation for Python, inspired by the Laravel framework.

A Python module for creation, validation, and transformation of EPC representations as defined in GS1's EPC Tag Data Standard.

Python bindings for libpostal: Fast international address parsing, normalization, geocoding, and standardization with multi-architecture support (ARM64, Apple Silicon)

Gere e valide dados randômicos com fordev

A simple, fast, extensible python library for data validation.

Data validation and settings management using python 3.6 type hinting

Generalized python types and validators for cryoEM data.

A collection of Value Objects to save time by generalizing data type and format validations.

Comprehensive validation library for nested data structures.

This module uses python 3 type hints to validate request and response data in Flask Python APIs and generate API documentation.

Brings functional programming data pipelines with robust validation to python and mypy

A python library containing automated data validation tools for the Atmos Data Service

Rigor is a Domain Specific Language (DSL) and Command Line Interface (CLI) for making HTTP requests, extracting data, and validating responses. The main intent of Rigor is to be an HTTP-based API (e.g. REST) Testing Framework for automated functional or integration testing.

Define your data schema once. Validate at scale. Stay columnar.

Advanced data validation library unifying Pydantic and Pandera with multi-backend support

Python data validation with web in-mind

OML is a PyTorch-based framework to train and validate the models producing high-quality embeddings.

Dataclass with validation

A package for misclassification error correction in regression using validation data

Intelligent AI Agents to ensure accurate, unique, and reliable customer data

Comprehensive Python toolkit for RPA automation: email, logging, database tracking, browser automation, OCR, desktop automation, and more. Essential utilities for building robust automation workflows with Selenium, Botcity, and custom solutions.

A Python package for data contract management with five core services: contract parsing, metadata storage, Pydantic generation, JSON Schema conversion, and runtime validation

Documents schema and data validation

"quickly create UIs to interactively prompt, validate, and persist python objects to disk (JSON/YAML) and back using type hints"

`onion_config` is a Python package designed for easy configuration management. It supports loading and validating configuration data from environment variables and configuration files in JSON and YAML formats. It is a `Pydantic` based custom configuration package for Python projects.

Python library for working with Telegram Mini Apps initialization data

Type-safe data validation and mocking for Python dataclasses and Pydantic models

A standard library to manage geomatic data

A toolkit for marshalling, unmarshalling, and runtime validation leveraging type annotations.

Sentri - a production-ready, configurable data quality validation framework

JSON Schema based validation of dataset metadata developed to support submissions to the NIAGADS Data Sharing Service

Adds filters for Django-specific features.

Pydantic models with Redis as the backend

Provides comprehensive mapping of all EDM classes and properties to Pydantic models and attributes, enabling robust data validation and serialization. Includes parsing capabilities for XML EDM files, allowing seamless conversion of XML data into Python objects for further processing and analysis.

Parse and analyze EyeLink eye tracker data from ASC files

A Google Sheets validation library

Validation of input4MIPs data (checking file formats, metadata etc.).

Lightweight field data validator.

Python implementation of the Data Package standard

Ultimate data validation tool built on top of the typing module

A Python validator for the JSON-stat 2.0 standard format, based on Pydantic.

A user-friendly Python library for seamless bidirectional conversion between Excel spreadsheets and Pydantic models

(DEPRECATED) A Python library to validate Data Package datapackage.json files.

A library for data quality validation using PyDeequ and to send email notification.

cd2t validates data structure, data types and values with templates

An extensive Python Library to View, List and Validate Countries, States, and Cities data