A light-weight, flexible, and expressive statistical data testing library
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Updated
Apr 26, 2025 - Python
A light-weight, flexible, and expressive statistical data testing library
Behavior-oriented, expressive, human-friendly Python assertion library for the 21st century
Fluent assertions for Python
A Python module to test dicts in a declarative way
Stand-alone Assertions for Python
HTTP assertion plugin for grappa
A Kafka python library for Robotframework to test events(messages) in Kafka.
✔️ Assertive python design by contract toolkit for software validation. Simplify preconditions, postconditions, and invariants with easy-to-use decorators.
Test scraped job details from companies websites against peviitor.ro
Python Code Snippets for my reference
Fluent API for assertions supporting pytest, designed with simplicity and ease of use in mind.
Tensor validation for TensorFlow
Provide several assert methods to check for and report failures using gretl
A package for performing assertions and providing informative exception messages.
Python | PyCharm | JSON Parsing | Packages - requests, json, jsonpath | Assertions - Response Status Codes, Headers, Cookies | HTTP Methods - GET, POST, DELETE | Customized Headers | Add Query parameters | Request Body from JSON file | Update JSON file dynamically | Request Chaining | Authentication - Basic and OAuth | openpyxl - Data-Driven (.x…
Python | PyCharm | Requests - GET, POST DELETE | JSON Parsing | Session management | Re-Directions | Timeout | Send Attachments | Assertions - Response Status Codes, Headers, Cookies
Exception Handling, Logging, Assertions, File Handling, Pickling Unpickling, OOP's Concepts, Garbage Collection, Multithreading, Regular Expression, Web Scrapping, Shallow Copy vs Deep Copy, Python Database Connectivity, Pydoc, Python UnitTesting with Selenium, pytest with selenium.
Simple, Flexible, and Extendable python3.6+ library for boolean expressions, assertions, and verifications.
A data testing framework that executes queries on configurable data providers and validates the results with customizable YAML-defined assertions. Ensure data integrity, consistency, and reliability effortlessly.
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