About

Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.

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

The Universal Sentence Encoder (USE) encodes text into high-dimensional vectors that can be utilized for tasks such as text classification, semantic similarity, and clustering. It offers two model variants: one based on the Transformer architecture and another on Deep Averaging Network (DAN), allowing a balance between accuracy and computational efficiency. The Transformer-based model captures context-sensitive embeddings by processing the entire input sequence simultaneously, while the DAN-based model computes embeddings by averaging word embeddings, followed by a feedforward neural network. These embeddings facilitate efficient semantic similarity calculations and enhance performance on downstream tasks with minimal supervised training data. The USE is accessible via TensorFlow Hub, enabling seamless integration into various applications.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Any user looking for a solution to measure line and branch coverage to produce test reports

Audience

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

Audience

Developers interested in a beautiful but advanced programming language

Audience

Data scientists and machine learning engineers seeking a tool to optimize their natural language processing models with robust sentence embeddings

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Phone Support
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Phone Support
24/7 Live Support
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Support

Phone Support
24/7 Live Support
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Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

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Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

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Reviews/Ratings

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

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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

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Training

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In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
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Live Online
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Company Information

Coverage.py
United States
coverage.readthedocs.io/en/7.0.0/

Company Information

Coverlet
github.com/coverlet-coverage/coverlet

Company Information

Python
Founded: 1991
www.python.org

Company Information

Tensorflow
Founded: 2015
United States
www.tensorflow.org/hub/tutorials/semantic_similarity_with_tf_hub_universal_encoder

Alternatives

Alternatives

Alternatives

Alternatives

word2vec

word2vec

Google
JCov

JCov

OpenJDK
dotCover

dotCover

JetBrains
blanket.js

blanket.js

Blanket.js
CodeRush

CodeRush

DevExpress
Devel::Cover

Devel::Cover

metacpan
Exa

Exa

Exa.ai

Categories

Categories

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Integrations

Azure Database for PostgreSQL
DNSimple
Devs.ai
GAMS
Gemini Embedding
Hacker AI
JetBrains Aqua
Kodosumi
PDF Generator API
PromptGround
RStudio
Rapid Analytics Platform
Rio
SpellBox
Tidelift
Tornado Web Server
YAML
finlight.me
hug
scikit-image

Integrations

Azure Database for PostgreSQL
DNSimple
Devs.ai
GAMS
Gemini Embedding
Hacker AI
JetBrains Aqua
Kodosumi
PDF Generator API
PromptGround
RStudio
Rapid Analytics Platform
Rio
SpellBox
Tidelift
Tornado Web Server
YAML
finlight.me
hug
scikit-image

Integrations

Azure Database for PostgreSQL
DNSimple
Devs.ai
GAMS
Gemini Embedding
Hacker AI
JetBrains Aqua
Kodosumi
PDF Generator API
PromptGround
RStudio
Rapid Analytics Platform
Rio
SpellBox
Tidelift
Tornado Web Server
YAML
finlight.me
hug
scikit-image

Integrations

Azure Database for PostgreSQL
DNSimple
Devs.ai
GAMS
Gemini Embedding
Hacker AI
JetBrains Aqua
Kodosumi
PDF Generator API
PromptGround
RStudio
Rapid Analytics Platform
Rio
SpellBox
Tidelift
Tornado Web Server
YAML
finlight.me
hug
scikit-image
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