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assertible avatar

assertible/deployments

0
View on GitHub↗
13 stars·5 forks·MIT·6 viewsassertible.com↗

Deployments

Configurations for GitHub post-deployment testing with Assertible via CI

Features

  • Code Quality and Analysis - Automates post-deployment testing and web service monitoring.

Star history

Star history chart for assertible/deploymentsStar history chart for assertible/deployments

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 assertible/deployments do?

Configurations for GitHub post-deployment testing with Assertible via CI

What are the main features of assertible/deployments?

The main features of assertible/deployments are: Code Quality and Analysis.

Which projects share features with assertible/deployments?

Projects with overlapping indexed features include: coala/coala — coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming… cython/cython — Cython is a compiler that translates Python code into C or C++ to create high-performance extension modules. It… pre-commit/pre-commit — Pre-commit is a framework for managing and executing automated tasks during the version control commit process. It… robotframework/robotframework — Robot Framework is a keyword-driven automation framework designed for acceptance testing and robotic process… scrutinizer-ci/scrutinizer — Legacy repository - archives past feature requests/bug reports. windelbouwman/ppci-mirror — A compiler for ARM, X86, MSP430, xtensa and more implemented in pure Python.

Projects sharing features with Deployments

These projects share indexed features with Deployments. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • coala/coalacoala avatar

    coala/coala

    3,588View on GitHub↗

    coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

    Python
    View on GitHub↗3,588
  • cython/cythoncython avatar

    cython/cython

    10,767View on GitHub↗

    Cython is a compiler that translates Python code into C or C++ to create high-performance extension modules. It functions as a static typing optimizer and a C extension generator, allowing developers to declare C types within Python code to reduce interpreter overhead and increase execution speed. The project enables the wrapping of external C libraries to provide high-level interfaces to low-level system capabilities. It also serves as a native binary packager, capable of freezing scripts and their dependencies into standalone executable binaries for distribution. The system covers a broad

    Cythonbig-dataccpp
    View on GitHub↗10,767
  • pre-commit/pre-commitpre-commit avatar

    pre-commit/pre-commit

    15,057View on GitHub↗

    Pre-commit is a framework for managing and executing automated tasks during the version control commit process. It functions as a configuration-driven utility that enforces project standards by running linters, formatters, and security scanners on staged files before they are committed to a repository. The system uses a centralized manifest to orchestrate these tasks, ensuring consistent developer tooling across teams. It distinguishes itself by provisioning isolated environments for each tool, which prevents dependency conflicts and ensures that all required versions are present. The framewo

    Pythongitlinterpre-commit
    View on GitHub↗15,057
  • robotframework/robotframeworkrobotframework avatar

    robotframework/robotframework

    11,428View on GitHub↗

    Robot Framework is a keyword-driven automation framework designed for acceptance testing and robotic process automation. It utilizes a human-readable, tabular syntax to define test cases and workflows, separating the automation logic from the underlying implementation. By mapping plain-text keywords to executable commands, the framework enables the creation of maintainable and reusable automation sequences. The platform distinguishes itself through a modular architecture that supports the integration of custom libraries and external modules. This extensibility allows users to expand the frame

    Pythonattdautomationbdd
    View on GitHub↗11,428
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