+

Related Products

  • Parasoft
    4.6 out of 5 stars 152 Ratings
    Visit Website for Parasoft
  • MuukTest
    4.6 out of 5 stars 34 Ratings
    Visit Website for MuukTest
  • QA Wolf
    4.8 out of 5 stars 284 Ratings
    Visit Website for QA Wolf
  • TrustInSoft Analyzer
    4.3 out of 5 stars 6 Ratings
    Visit Website for TrustInSoft Analyzer
  • Daylight
    4.8 out of 5 stars 15 Ratings
    Visit Website for Daylight
  • Healthee
    4.6 out of 5 stars 13 Ratings
    Visit Website for Healthee
  • Boostero
    4.2 out of 5 stars 65 Ratings
    Visit Website for Boostero
  • Admiral
    4.8 out of 5 stars 75 Ratings
    Visit Website for Admiral
  • QuantaStor
    4.8 out of 5 stars 6 Ratings
    Visit Website for QuantaStor
  • Bluepear
    4.8 out of 5 stars 80 Ratings
    Visit Website for Bluepear

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

Powerful and affordable RPA platform. Use the flexibility of Python, the convenience of low code, and the potential of AI for intelligent automation. Python RPA is an easy-to-use platform for developing and managing bots in Python. The capabilities of Python make the platform an effective and powerful tool for automating business processes. Enterprise-grade orchestrator for managing Python scripts and low-code projects. Basic Python knowledge is enough to start your automation journey. Stay ahead with instant notifications and a status management board. Uninterrupted flow of process execution, keeping things running smoothly. Ensure secured and managed user access. Keep your credentials secured and ensure activities are being logged. Use any library or framework for creating your project. Develop your Python automation in any open-source Python development environment.

About

Scikit-learn provides simple and efficient tools for predictive data analysis. Scikit-learn is a robust, open source machine learning library for the Python programming language, designed to provide simple and efficient tools for data analysis and modeling. Built on the foundations of popular scientific libraries like NumPy, SciPy, and Matplotlib, scikit-learn offers a wide range of supervised and unsupervised learning algorithms, making it an essential toolkit for data scientists, machine learning engineers, and researchers. The library is organized into a consistent and flexible framework, where various components can be combined and customized to suit specific needs. This modularity makes it easy for users to build complex pipelines, automate repetitive tasks, and integrate scikit-learn into larger machine-learning workflows. Additionally, the library’s emphasis on interoperability ensures that it works seamlessly with other Python libraries, facilitating smooth data processing.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

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

Audience

Enterprises interested in a tool to manage their business processes and automate routine tasks

Audience

Engineers and data scientists requiring a solution to manage and improve their machine learning research

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

$275 per month
Free Version Not Supported
Free Trial Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

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 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 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 Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

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

Company Information

Python RPA
Founded: 2019
Kazakhstan
pythonrpa.org

Company Information

scikit-learn
United States
scikit-learn.org/stable/

Alternatives

Alternatives

Alternatives

Gensim

Gensim

Radim Řehůřek
blanket.js

blanket.js

Blanket.js
ML.NET

ML.NET

Microsoft
JCov

JCov

OpenJDK
MLlib

MLlib

Apache Software Foundation
Devel::Cover

Devel::Cover

metacpan
Python

Python

5.0 out of 5 stars
Keepsake

Keepsake

Replicate

Categories

Code Coverage Supported

Categories

Categories

Machine Learning Supported

Integrations

Python Supported
C Supported
Codecov Supported
DagsHub Not Supported
Docker Not Supported
GLM-5.1 Not Supported
GPT-4 Not Supported
Guild AI Not Supported
Keepsake Not Supported
Matplotlib Not Supported
ModelOp Not Supported
NumPy Not Supported
OpenAI Not Supported
PyCharm Not Supported
SQLite Supported
Train in Data Not Supported
XML Supported
pytest Supported
pytest-cov Supported

Integrations

Python Supported
C Not Supported
Codecov Not Supported
DagsHub Not Supported
Docker Supported
GLM-5.1 Not Supported
GPT-4 Supported
Guild AI Not Supported
Keepsake Not Supported
Matplotlib Not Supported
ModelOp Not Supported
NumPy Not Supported
OpenAI Supported
PyCharm Supported
SQLite Not Supported
Train in Data Not Supported
XML Not Supported
pytest Not Supported
pytest-cov Not Supported

Integrations

Python Supported
C Not Supported
Codecov Not Supported
DagsHub Supported
Docker Not Supported
GLM-5.1 Supported
GPT-4 Not Supported
Guild AI Supported
Keepsake Supported
Matplotlib Supported
ModelOp Supported
NumPy Supported
OpenAI Not Supported
PyCharm Not Supported
SQLite Not Supported
Train in Data Supported
XML Not Supported
pytest Not Supported
pytest-cov Not Supported
Claim Coverage.py and update features and information
Claim Coverage.py and update features and information
Claim Python RPA and update features and information
Claim Python RPA and update features and information
Claim scikit-learn and update features and information
Claim scikit-learn and update features and information