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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

Beanstalk
Betterscan.io
Codecov
Coverage.py
DeepCover
GitHub
Google Chrome
HTML
Jira
Lighthouse
Mozilla Firefox
Nango
OAuth
Python
RuboCop
Slack
Stackreaction
Trello
XML

Integrations Supported

Beanstalk
Betterscan.io
Codecov
Coverage.py
DeepCover
GitHub
Google Chrome
HTML
Jira
Lighthouse
Mozilla Firefox
Nango
OAuth
Python
RuboCop
Slack
Stackreaction
Trello
XML

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

Categories and Features

Application Lifecycle Management

Administrator Level Control
Defect Tracking
Iteration Planning
Project Management
Release Management
Requirements Review
Task Management
Test Case Tracking
User Level Management
Version Control

Application Performance Monitoring (APM)

Baseline Manager
Diagnostic Tools
Full Transaction Diagnostics
Performance Control
Resource Management
Root-Cause Diagnosis
Server Performance
Trace Individual Transactions

Continuous Integration

Build Log
Change Management
Configuration Management
Continuous Delivery
Continuous Deployment
Debugging
Permission Management
Quality Assurance Management
Testing Management

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

DevOps

Approval Workflow
Dashboard
KPIs
Policy Management
Portfolio Management
Prioritization
Release Management
Timeline Management
Troubleshooting Reports

IT Project Management

Bug Tracking
Issue Management
Milestone Tracking
Percent-Complete Tracking
Portfolio Management
Prioritization
Product Roadmapping
Requirements Management
Resource Management
Status Tracking
Supports Agile
Supports Scrum
Task Management
Testing / QA Management
Time & Expense Tracking

Product Management

Collaboration
Feedback Collection
Idea Management
Milestone Tracking
Prioritization
Product Roadmapping
Release Management
Requirements Management
Resource Management
Workflow Management

Static Code Analysis

Analytics / Reporting
Code Standardization / Validation
Multiple Programming Language Support
Provides Recommendations
Standard Security/Industry Libraries
Vulnerability Management

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