A light-weight, flexible, and expressive statistical data testing library
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Updated
Sep 30, 2024 - 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.
Test scraped job details from companies websites against peviitor.ro
✔️ Assertive python design by contract toolkit for software validation. Simplify preconditions, postconditions, and invariants with easy-to-use decorators.
[alpha] Powerful fluent assertions for python.
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
Python | PyCharm | Requests - GET, POST DELETE | JSON Parsing | Session management | Re-Directions | Timeout | Send Attachments | Assertions - Response Status Codes, Headers, Cookies
A package for performing assertions and providing informative exception messages.
Simple, Flexible, and Extendable python3.6+ library for boolean expressions, assertions, and verifications.
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…
a real world example with pytest test framework
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