Best Application Development Software for Coverage.py

Find and compare the best Application Development software for Coverage.py in 2024

Use the comparison tool below to compare the top Application Development software for Coverage.py on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Python Reviews
    Definitive functions are the heart of extensible programming. Python supports keyword arguments, mandatory and optional arguments, as well as arbitrary argument lists. It doesn't matter if you are a beginner or an expert programmer, Python is easy to learn. Python is easy to learn, whether you are a beginner or an expert in other languages. These pages can be a helpful starting point to learn Python programming. The community hosts meetups and conferences to share code and much more. The documentation for Python will be helpful and the mailing lists will keep in touch. The Python Package Index (PyPI), hosts thousands of third-party Python modules. Both Python's standard library and the community-contributed modules allow for endless possibilities.
  • 2
    Django Reviews
    Django is a high level Python web framework that encourages quick development and pragmatic design. It was developed by experienced web developers and allows you to focus on writing your application without having to reinvent the wheel. Django was created to make it easy for developers to take their applications from conception to completion as quickly and efficiently as possible. Django is committed to security and helps developers avoid common security errors. Django's ability scale quickly and flexiblely is a key feature of some of the most popular web sites. Django comes with a variety of additional tools that can be used to perform common web development tasks. Django handles user authentication, content administration and site maps. It also supports RSS feeds and many other tasks.
  • 3
    SQLite Reviews
    Top Pick
    SQLite is a C language library that implements a small, fast and self-contained SQL database engine. It is highly reliable, compact, efficient, and fully-featured. SQLite is the most widely used database engine in the globe. SQLite is embedded in all mobile phones and computers. It also comes with countless other applications that people use every single day. SQLite is an embedded library that implements a self contained, serverless, zero configuration, transactional SQL database engine. The code for SQLite can be used for commercial and private purposes. SQLite is the most used database in the world, with many high-profile projects and more applications than we can count.
  • 4
    Codecov Reviews

    Codecov

    Codecov

    $10 per user per month
    Develop healthier code. Improve code quality and workflow. Codecov offers a comprehensive suite of tools that allow you to group, merge and archive coverage reports, as well as compare them. Open source. Plans starting at $10/user per month. Ruby, Python and C++ as well as Javascript are all available. All CI products and workflows can be integrated easily. No setup is required. Automatic report merging for all CI languages and languages into one report. You can get custom statuses for any group of coverage metrics. You can review coverage reports by folder, project, and type (unit tests or integration tests). You can comment the detailed report directly in your pull request. Codecov is SOC 2 Type II Certified. This means that Codecov has been audited by a third party and attested to our security practices.
  • 5
    Tidelift Reviews

    Tidelift

    Tidelift

    $1,500 per month
    Open source managed. Supported by maintainers. You can create custom-designed catalogs of known good, proactively maintained JavaScript and JavaScript components. Tidelift Subscription: Build enterprise-grade applications using open source. You should be focusing your efforts on what you are building, and not what you are building it with. Tidelift Subscription, a managed open-source subscription for application dependencies, covers thousands of open-source projects across JavaScript and JavaScript, Java, Java, PHP Ruby,.NET and more. Open source apps can speed up development, reduce risk, and save money. Open source dependencies are essential for engineers to create the applications your customers and business users need. Your business policies require that these applications only have "good" dependencies. It is a continuous, intense effort to determine which dependencies are "good".
  • 6
    Mako Reviews
    It uses a familiar, non XML syntax and compiles into Python modules to maximize performance. Mako's syntax borrows from many other sources, including Jinja2 templates, Cheetah and Myghty, as well as the best ideas of Genshi and Django. Conceptually Mako is embedded Python (i.e. Python Server Page) language. It refines the familiar ideas o componentized layout and inheritance to create one of the most flexible and straightforward models. While still keeping close ties to Python scoping and calling semantics, Mako is conceptually an embedded Python (i.e. Mako's method is very efficient, and was originally designed to be as fast as Cheetah. Today Mako is very similar in speed to Jinja2, who uses a similar approach, and for which Mako was an inspiration. You can access variables from the template's request context as well as their enclosing scope.
  • 7
    XML Reviews

    XML

    World Wide Web Consortium (W3C)

    Free
    Extensible markup language (XML), a very simple and flexible text format, is derived from SGML. (ISO 8879). Originally created to address the challenges of large-scale electronic publication, XML plays an increasingly important role in the sharing of a wide range of data on the Web.
  • 8
    pytest-cov Reviews
    This plugin generates coverage reports. This plugin offers more than just coverage. Subprocess support is available so that you can fork and run stuff in subprocesses and get covered without fuss. Xdist support is available so that you can still use all the features of pytest.xdist and still receive coverage. Consistent pytest behavior. All features of the coverage package should work. In some cases, site packages may contain a stray file.pth. To ensure that each test run has clean data, the data file is deleted at the beginning of testing. You can combine coverage from multiple test runs by using the --cov-append option. This will add this coverage data to coverage data of previous test runs. It is possible to examine the data file using normal coverage tools.
  • 9
    pytest Reviews
    Using pytest you can write better programs. The pytest framework allows you to write small tests while still being able to support complex functional testing of libraries and applications. Because of pytest’s introspection, only plain assert sentences are used. Details on failing assert statements. Auto-discovery test modules and functions. Modular fixtures are used to manage small or parametrized, long-lasting test resources. The box can run unittest (including trial), and nose test suites. Supports Python 3.6+, and PyPy 3. Rich plugin architecture with over 315+ plugins from outside and a thriving community. Tidelift is working with the maintainers of Python and thousands of other packages to provide commercial support and maintenance for open-source dependencies that you use to build your applications. You can save time, reduce risk, improve code health, and pay the maintainers of exactly the dependencies that you use.
  • 10
    JSON Reviews
    JSON (JavaScript Object Notation), is a lightweight format for data-interchange. It is easy to read and write. It is easy for machines and humans to generate and parse. It is based upon a subset the JavaScript Programming Language Standard ECMA-262 (3rd Edition - Dec 1999). JSON is a text format which is completely language-independent but still uses conventions familiar to programmers of the C family of languages. This includes C++, C# JavaScript, JavaScript, Perl and Python. These properties make JSON a great data-interchange language. JSON is built upon two structures: 1. A collection of name/value pair. This can be realized in many languages as an object, record or struct. 2. An ordered list of values. This can be expressed in most languages as an array, vector or list. These are universal data structures. They are supported by almost all modern programming languages in one way or another.
  • 11
    C Reviews
    C, a programming language that was created in 1972, is still very popular and widely used today. C is a general-purpose imperative and procedural language. The C language is used to create a variety of software and applications. This includes operating systems, code compilers, databases, and many more.
  • 12
    HTML Reviews
    HTML is shorthand for HyperText Markup Language. It is the markup language used by all websites on the internet. HTML is the code websites use to create and structure their websites and web pages.
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