Deepchecks Testing Package

Paid

Create tailored tests, get real-time feedback on results, and quickly debug and identify issues.

4.5

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Saas

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About Deepchecks Testing Package

Deepchecks Testing Package is an automated testing solution that helps software engineers save time, reduce errors, and improve the quality of their code. With Deepchecks, developers can create and run comprehensive and reliable tests for their codebase with ease. Our testing package works by running a set of pre-defined tests against code, and then reporting back any potential issues that might arise. The tests can be tailored to suit specific needs, and the results are presented in a simple, user-friendly format.Deepchecks is an ideal solution for developers of all skill levels, from novice to expert. Our package is easy to use and offers a wide range of features, including the ability to create complex tests, analyze test results, and take advantage of real-time feedback. With Deepchecks, developers can quickly identify and debug issues, ensuring the highest quality of their code. Our testing package is also cost-effective, with a subscription plan that fits any budget.

Key Features

Create complex tests tailored to specific needs.

Receive real-time feedback on test results.

Debug and identify issues quickly and cost-effectively.

Pros & Cons

Pros

Covers the full ML validation lifecycle from research to production
Supports multiple data modalities (tabular, NLP, computer vision)
Open-source core reduces cost and allows customization
CI/CD integration enables automated validation
Active community and comprehensive documentation

Cons

Advanced CI and monitoring features require managed offering (paid)
May have learning curve for defining custom checks and suites
Primarily focused on ML/data validation; not a general-purpose testing tool

Best For

Create complex tests tailored to specific needs.Receive real-time feedback on test results.Debug and identify issues quickly and cost-effectively.

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FAQ

What is Deepchecks?

Deepchecks is an open-source Python package for continuous validation of machine learning models and data. It provides built-in and custom checks for tabular, NLP, and computer vision tasks, along with CI testing management and production monitoring capabilities.

How do I install Deepchecks?

Install the core package using pip: pip install deepchecks -U --user. For NLP support use deepchecks[nlp], for computer vision use deepchecks[vision]. Conda installation is also available: conda install -c conda-forge deepchecks.

Is Deepchecks free?

The Deepchecks Testing component is open source and free to use. The CI Testing Management and Deepchecks Monitoring components are open source managed offerings that may require a subscription or contact for pricing.

What types of data does Deepchecks support?

Deepchecks supports tabular, natural language processing (NLP), and computer vision (CV) data types for validation.

Can I use Deepchecks in a CI/CD pipeline?

Yes, Deepchecks includes a CI Testing Management component that allows teams to collaborate on test results and integrate validation into CI/CD workflows until the model is production-ready.