Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
AutoDiscovery is a sophisticated software designed for automated exploratory data analysis, aimed at assisting biomedical researchers in revealing intricate relationships concealed within the datasets of scientific studies and clinical trials. This innovative tool independently determines the appropriate statistical methods required to evaluate the relationships among every combination of variables across various subsets of the data. Key requirements in biomedical research, such as cause-effect potential, false discovery rates, management of small and complex datasets, treatment groups, and result traceability, are specifically addressed by AutoDiscovery. The software is particularly beneficial for Principal Investigators who have minimal time to dedicate to data analysis and possess limited statistical expertise, thereby enabling them to concentrate on productive and impactful research endeavors. By streamlining the analysis process, AutoDiscovery empowers researchers to uncover insights that might otherwise remain hidden, ultimately enhancing the quality of scientific inquiry.
Description
Pytest is an invaluable tool for enhancing your programming skills, as it simplifies the creation of both basic tests and complicated functional tests for various applications and libraries. The framework’s ability to provide detailed assertion introspection means you can rely solely on standard assert statements for all your testing needs. It offers thorough information regarding failed assertions, automatically identifies test modules and functions, and features modular fixtures that help manage both small and parameterized long-lived test resources effectively. Additionally, pytest can seamlessly execute unittest (including trial) and nose test suites, and it is compatible with Python versions 3.6 and above, as well as PyPy 3. Its rich plugin architecture boasts over 315 external plugins and is backed by a vibrant community of users. Furthermore, the maintainers of pytest, along with thousands of other packages, have partnered with Tidelift to provide commercial support and maintenance for the open-source dependencies integral to your projects. By leveraging pytest, you can save valuable time, minimize risks, and enhance the overall health of your codebase, all while ensuring that the developers of the specific dependencies you rely on are compensated for their work. This commitment to community and support truly sets pytest apart as a leader in the testing framework landscape.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Allure Report
No
Captain
No
Codecov
No
Coverage.py
No
Katalon Recorder
No
Katalon True Platform
No
Launchable
No
Opik
No
Pynt
No
Python
No
Integrations
Allure Report
Yes
Captain
Yes
Codecov
Yes
Coverage.py
Yes
Katalon Recorder
Yes
Katalon True Platform
Yes
Launchable
Yes
Opik
Yes
Pynt
Yes
Python
Yes
Pricing Details
€1.795 per year
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Butler Scientifics
Founded
2014
Country
Spain
Website
www.butlerscientifics.com
Vendor Details
Company Name
pytest
Founded
2004
Website
docs.pytest.org/en/6.2.x/
Product Features
Data Discovery
Contextual Search
No
Data Classification
No
Data Matching
Yes
False Positives Reduction
Yes
Self Service Data Preparation
Yes
Sensitive Data Identification
Yes
Visual Analytics
Yes
Product Features
Functional Testing
Automated Testing
No
Interface Testing
No
Regression Testing
No
Reporting / Analytics
No
Sanity Testing
No
Smoke Testing
No
System Testing
No
Unit Testing
No
Software Testing
Automated Testing
No
Black-Box Testing
No
Dynamic Testing
No
Issue Tracking
No
Manual Testing
No
Quality Assurance Planning
No
Reporting / Analytics
No
Static Testing
No
Test Case Management
No
Variable Testing Methods
No
White-Box Testing
No