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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 pytest?
Pytest serves as an essential resource for improving your coding abilities, enabling the easy development of both simple tests and more intricate functional tests across a variety of applications and libraries. The framework excels in offering comprehensive assertion introspection, allowing you to depend solely on standard assert statements for all your testing requirements. It provides extensive insights into failed assertions, automatically detects test modules and functions, and includes versatile fixtures that efficiently manage both small and parameterized long-lived test resources. Moreover, pytest can effortlessly run unittest (including trial) and nose test suites, and it supports Python versions 3.6 and later, as well as PyPy 3. Its extensive plugin ecosystem includes over 315 external plugins, alongside a dynamic community of users contributing to its growth. Additionally, the maintainers of pytest, in collaboration with Tidelift, offer commercial support and maintenance for the open-source dependencies crucial to your projects, further enhancing its value. By integrating pytest into your workflow, you can streamline your testing process, reduce potential risks, and improve the overall quality of your codebase, all while ensuring fair compensation for the developers of the dependencies you utilize. This dedication to community engagement and support distinctly positions pytest as a frontrunner in the realm of testing frameworks, making it a preferred choice among developers.
What is PolySwarm?
PolySwarm introduces a distinctive multiscanner that incorporates financial stakes, whereby threat detection engines back their evaluations with monetary investments tied to specific artifacts, like files or URLs, and encounter monetary rewards or penalties based on the accuracy of their conclusions. This intricate mechanism is governed by automated software that functions almost in real-time, allowing users to submit artifacts via an API or a web interface. Once submitted, the system generates crowdsourced intelligence, providing users with the assessments from various engines along with an overall rating called PolyScore. The funds allocated for bounties, combined with the claims made by the engines, operate as a reward system secured within an Ethereum smart contract. Engines that successfully detect threats receive the initial bounty from the organization, in addition to the contributions from those engines that misidentify the threats, thereby creating a competitive landscape that prioritizes accuracy and dependability. This forward-thinking method not only motivates precision but also guarantees that users obtain reliable threat intelligence promptly, enhancing their overall security posture. Additionally, the architecture of PolySwarm promotes collaboration among engines, further refining the quality of threat detection.
Integrations Supported
Codecov
Coverage.py
Python
Allure Report
Captain
Criminal IP ASM
Cyberstanc Scrutiny
HTML
Katalon Recorder
Katalon TestCloud
Integrations Supported
Codecov
Coverage.py
Python
Allure Report
Captain
Criminal IP ASM
Cyberstanc Scrutiny
HTML
Katalon Recorder
Katalon TestCloud
Integrations Supported
Codecov
Coverage.py
Python
Allure Report
Captain
Criminal IP ASM
Cyberstanc Scrutiny
HTML
Katalon Recorder
Katalon TestCloud
API Availability
Has API
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
Pricing Information
$299 per month
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
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
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
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
pytest
Date Founded
2004
Company Website
docs.pytest.org/en/6.2.x/
Company Facts
Organization Name
PolySwarm
Date Founded
2017
Company Location
United States
Company Website
polyswarm.io
Categories and Features
Categories and Features
Functional Testing
Automated Testing
Interface Testing
Regression Testing
Reporting / Analytics
Sanity Testing
Smoke Testing
System Testing
Unit Testing
Software Testing
Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing