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kevin1024 avatar

kevin1024/vcrpy

0
View on GitHub↗
2,969 stars·426 forks·Python·MIT·17 views

Vcrpy

Automatically mock your HTTP interactions to simplify and speed up testing

Features

  • Mocking and Fixtures - Records and replays HTTP interactions for tests.
  • Mocking Libraries - Recording and replaying HTTP interactions in tests.
  • Testing Tools - Listed in the “Testing Tools” section of the Awesome Python awesome list.

Star history

Star history chart for kevin1024/vcrpyStar history chart for kevin1024/vcrpy

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does kevin1024/vcrpy do?

Automatically mock your HTTP interactions to simplify and speed up testing

What are the main features of kevin1024/vcrpy?

The main features of kevin1024/vcrpy are: Mocking and Fixtures, Mocking Libraries, Testing Tools.

Which projects share features with kevin1024/vcrpy?

Projects with overlapping indexed features include: spulec/freezegun — Freezegun is a Python time mocking library and system clock emulator used to freeze the system clock to a fixed date… getsentry/responses — Responses is a Python mocking library designed to intercept outgoing HTTP calls made with the Requests library to… mindflayer/python-mocket — a socket mock framework - for all kinds of socket animals, web-clients included. lk-geimfari/mimesis — Mimesis is a Python synthetic data generator used to create realistic fake datasets and mock data for software testing… litestar-org/polyfactory. coveragepy/coveragepy — The code coverage tool for Python.

Projects sharing features with Vcrpy

These projects share indexed features with Vcrpy. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • mindflayer/python-mocketmindflayer avatar

    mindflayer/python-mocket

    309View on GitHub↗

    a socket mock framework - for all kinds of socket animals, web-clients included

    Pythonaiohttpasynciocoverage
    View on GitHub↗309
  • spulec/freezegunspulec avatar

    spulec/freezegun

    4,517View on GitHub↗

    Freezegun is a Python time mocking library and system clock emulator used to freeze the system clock to a fixed date and time. It serves as a testing utility to ensure that time-dependent logic produces consistent and predictable results during software verification. The library provides an asyncio compatible mock that preserves real monotonic clock values to prevent event loops from hanging while other system time functions remain frozen. It supports simulating the passage of time through manual clock advancement, jumping to designated dates, or using a ticking clock simulation that incremen

    Python
    View on GitHub↗4,517
  • getsentry/responsesgetsentry avatar

    getsentry/responses

    4,350View on GitHub↗

    Responses is a Python mocking library designed to intercept outgoing HTTP calls made with the Requests library to return predefined simulated responses. It functions as a request verification framework and a network simulation tool, allowing for the verification of application behavior against various API response patterns without making real network calls. The project distinguishes itself through a traffic recorder that captures real network interactions and saves them to files for deterministic replay. It further enables the simulation of complex network scenarios, including the triggering

    Pythontag-production
    View on GitHub↗4,350
  • joke2k/fakerjoke2k avatar

    joke2k/faker

    19,278View on GitHub↗

    Faker is a Python library designed to generate realistic synthetic data for software testing, database prototyping, and privacy-preserving anonymization. It provides a comprehensive suite of tools to create diverse information types, including personal identities, financial records, geographic locations, and technical system metadata, allowing developers to populate environments with mock data that mimics real-world structures. The library is built on a modular provider architecture that supports dynamic method dispatch, enabling users to extend functionality by registering custom data genera

    Pythondatasetfakefake-data
    View on GitHub↗19,278
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