+

Related Products

  • Parasoft
    132 Ratings
    Visit Website
  • MuukTest
    31 Ratings
    Visit Website
  • Boozang
    15 Ratings
    Visit Website
  • TrustInSoft Analyzer
    6 Ratings
    Visit Website
  • SonarQube Cloud
    190 Ratings
    Visit Website
  • ZeroPath
    2 Ratings
    Visit Website
  • Orca Security
    481 Ratings
    Visit Website
  • qTest
    Visit Website
  • Zil Money
    673 Ratings
    Visit Website
  • JetBrains Junie
    2 Ratings
    Visit Website

About

It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet supports coverage for deterministic builds. The solution at the moment is not optimal and need a workaround. If you want to visualize coverlet output inside Visual Studio while you code, you can use the following addins depending on your platform. Coverlet also integrates with the build system to run code coverage after tests. Enabling code coverage is as simple as setting the CollectCoverage property to true. The coverlet tool is invoked by specifying the path to the assembly that contains the unit tests. You also need to specify the test runner and the arguments to pass to the test runner using the --target and --targetargs options respectively. The invocation of the test runner with the supplied arguments must not involve a recompilation of the unit test assembly or no coverage result will be generated.

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

Torch is a scientific computing framework with wide support for machine learning algorithms that puts GPUs first. It is easy to use and efficient, thanks to an easy and fast scripting language, LuaJIT, and an underlying C/CUDA implementation. The goal of Torch is to have maximum flexibility and speed in building your scientific algorithms while making the process extremely simple. Torch comes with a large ecosystem of community-driven packages in machine learning, computer vision, signal processing, parallel processing, image, video, audio and networking among others, and builds on top of the Lua community. At the heart of Torch are the popular neural network and optimization libraries which are simple to use, while having maximum flexibility in implementing complex neural network topologies. You can build arbitrary graphs of neural networks, and parallelize them over CPUs and GPUs in an efficient manner.

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

IT teams searching for a cross platform code coverage framework for .NET

Audience

Developers interested in a beautiful but advanced programming language

Audience

Developers looking for a scientific computing framework for their neural networks and energy-based 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

No information available.
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

Coverlet
github.com/coverlet-coverage/coverlet

Company Information

Python
Founded: 1991
www.python.org

Company Information

Torch
torch.ch/

Alternatives

Alternatives

Alternatives

dotCover

dotCover

JetBrains
Neural Designer

Neural Designer

Artelnics
CodeRush

CodeRush

DevExpress

Categories

Categories

Categories

Integrations

Abstra
Amazon Nova Act
Arize Phoenix
AtomicJar
BLACKBOX AI
CodeCollab
Flawnter
Gemini 2.0 Flash-Lite
MULTI IDE
Payzli
Picogen
Prompt AI Tools
Quiver
RapidFort
Runware
Scale SERP
ScrapFly
TILDE
Viduli
kdb Insights

Integrations

Abstra
Amazon Nova Act
Arize Phoenix
AtomicJar
BLACKBOX AI
CodeCollab
Flawnter
Gemini 2.0 Flash-Lite
MULTI IDE
Payzli
Picogen
Prompt AI Tools
Quiver
RapidFort
Runware
Scale SERP
ScrapFly
TILDE
Viduli
kdb Insights

Integrations

Abstra
Amazon Nova Act
Arize Phoenix
AtomicJar
BLACKBOX AI
CodeCollab
Flawnter
Gemini 2.0 Flash-Lite
MULTI IDE
Payzli
Picogen
Prompt AI Tools
Quiver
RapidFort
Runware
Scale SERP
ScrapFly
TILDE
Viduli
kdb Insights
Claim Coverlet and update features and information
Claim Coverlet and update features and information
Claim Python and update features and information
Claim Python and update features and information
Claim Torch and update features and information
Claim Torch and update features and information