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About

OpenCppCoverage is an open-source code coverage tool for C++ under Windows. The main usage is for unit testing coverage, but you can also use it to know the executed lines in a program for debugging purposes. Support compiler with a program database file (.pdb). Just run your program with OpenCppCoverage, no need to recompile your application. Exclude a line based on a regular expression. Coverage aggregation, to run several code coverages and merge them into a single report. Requires Microsoft Visual Studio 2008 or higher for all editions including the Express edition. It should also work with the previous version of Visual Studio. You can run the tests with the Test Explorer window.

About

The core of extensible programming is defining functions. Python allows mandatory and optional arguments, keyword arguments, and even arbitrary argument lists. Whether you're new to programming or an experienced developer, it's easy to learn and use Python. Python can be easy to pick up whether you're a first-time programmer or you're experienced with other languages. The following pages are a useful first step to get on your way to writing programs with Python! The community hosts conferences and meetups to collaborate on code, and much more. Python's documentation will help you along the way, and the mailing lists will keep you in touch. The Python Package Index (PyPI) hosts thousands of third-party modules for Python. Both Python's standard library and the community-contributed modules allow for endless possibilities.

About

statsmodels is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests and statistical data exploration. An extensive list of result statistics is available for each estimator. The results are tested against existing statistical packages to ensure that they are correct. The package is released under the open-source Modified BSD (3-clause) license. statsmodels supports specifying models using R-style formulas and pandas DataFrames. Have a look at dir(results) to see available results. Attributes are described in results.__doc__ and results methods have their own docstrings. You can also use numpy arrays instead of formulas. The easiest way to install statsmodels is to install it as part of the Anaconda distribution, a cross-platform distribution for data analysis and scientific computing. This is the recommended installation method for most users.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Individuals in need of a solution to run tests, manage executed lines and improve debugging processes

Audience

Developers interested in a beautiful but advanced programming language

Audience

Users and anyone in search of a solution to calculate the estimation of many different statistical models

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenCppCoverage
github.com/OpenCppCoverage/OpenCppCoverage

Company Information

Python
Founded: 1991
www.python.org

Company Information

statsmodels
www.statsmodels.org/stable/index.html

Alternatives

Alternatives

Alternatives

JCov

JCov

OpenJDK

Categories

Categories

Categories

Integrations

AI SDR-Kit
APIFuzzer
Cenchu
Codoki
EmEditor
GeniePy
Google Cirq
Lightstreamer
Mayhem Code Security
NanoVMs
Piloterr
Ray
SendSafely
Sulley
Sumocode
TeamCity
Tenzir
Tobiko
ToothPicker
Yandex Object Storage

Integrations

AI SDR-Kit
APIFuzzer
Cenchu
Codoki
EmEditor
GeniePy
Google Cirq
Lightstreamer
Mayhem Code Security
NanoVMs
Piloterr
Ray
SendSafely
Sulley
Sumocode
TeamCity
Tenzir
Tobiko
ToothPicker
Yandex Object Storage

Integrations

AI SDR-Kit
APIFuzzer
Cenchu
Codoki
EmEditor
GeniePy
Google Cirq
Lightstreamer
Mayhem Code Security
NanoVMs
Piloterr
Ray
SendSafely
Sulley
Sumocode
TeamCity
Tenzir
Tobiko
ToothPicker
Yandex Object Storage
Claim OpenCppCoverage and update features and information
Claim OpenCppCoverage and update features and information
Claim Python and update features and information
Claim Python and update features and information
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