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What is pytest-cov?

This plugin produces comprehensive coverage reports that surpass the basic capabilities of using coverage run alone. It offers subprocess execution support, enabling users to fork or run tasks in a separate subprocess while still collecting coverage data effortlessly. Furthermore, it seamlessly integrates with xdist, allowing users to access all features of pytest-xdist without compromising coverage reporting. The plugin ensures compatibility with pytest, providing consistent access to all functionalities of the coverage package, whether through pytest-cov's command line options or the coverage configuration file. Occasionally, a stray .pth file may linger in the site packages post-execution. To ensure a fresh start for each test run, the data file is cleared before testing begins. If you need to merge coverage results from different test runs, you can utilize the --cov-append option to incorporate this information into previous results. At the end of testing, the data file is preserved, enabling users to make use of standard coverage tools for additional analysis of their findings. This extra functionality not only improves the overall user experience but also provides enhanced control over coverage data management throughout the testing lifecycle, ultimately leading to more efficient testing practices.

What is Code Climate?

Velocity delivers comprehensive, context-rich analytics that empower engineering leaders to assist their team members, overcome obstacles, and enhance engineering workflows. With actionable metrics at their fingertips, engineering leaders can transform data from commits and pull requests into the essential insights needed to drive meaningful improvements in team productivity. Quality is prioritized through automated code reviews focused on test coverage, maintainability, and more, allowing teams to save time and merge with confidence. Automated comments for pull requests streamline the review process. Our 10-point technical debt assessment provides real-time feedback to ensure discussions during code reviews concentrate on the most critical aspects. Achieve perfect coverage consistently by examining coverage on a line-by-line basis within diffs. Avoid merging code that hasn't passed adequate tests, ensuring high standards are met every time. Additionally, you can swiftly pinpoint files that are frequently altered and exhibit poor coverage or maintainability challenges. Each day, monitor your advancement toward clearly defined, measurable goals, fostering a culture of continuous improvement. This consistent tracking helps teams stay aligned and focused on delivering high-quality code efficiently.

Media

Media

Integrations Supported

Codecov
Coverage.py
HTML
Python
pytest

Integrations Supported

Asana
Beam AI
Beanstalk
CA Flowdock
DeepCover
GitHub
Google Chrome
Lighthouse
Mozilla Firefox
Nango
RuboCop
Shift
Slack
Stackreaction

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

Windows
Mac
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Python

Company Location

United States

Company Website

pypi.org/project/pytest-cov/

Company Facts

Organization Name

Code Climate

Date Founded

2011

Company Location

United States

Company Website

codeclimate.com

Categories and Features

Code Coverage

Not specified

Categories and Features

AI Code Review

Not specified

Code Coverage

Not specified

Continuous Integration

Change Management
Continuous Delivery
Continuous Deployment

Data Visualization

Analytics
Dashboard Creation
Filtered Views
Visual Discovery

DevOps

Dashboard
KPIs
Prioritization
Release Management
Timeline Management

IT Project Management

Supports Agile
Supports Scrum

Product Management

Collaboration
Resource Management
Workflow Management

Static Code Analysis

Not specified

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