Automate code coverage analysis, for more reliable software!
Improve Code Coverage with Confidence
Scale your automated test coverage with a zero-code platform that works out of the box๐
Code Coverage Challenges for Developers
ย ๐ Coverage Issues ๐ ย
Manual Tests
Writing tests manually to achieve comprehensive code coverage is a time-consuming process and is often prone to errors, resulting in incomplete or ineffective testing.
Limited Coverage
Traditional code coverage methods may not cover all code paths, leading to gaps in coverage.
Realistic Scenarios
Test scenarios may fail to accurately reflect real-world usage, which can negatively impact the accuracy and effectiveness of code coverage in identifying potential issues.
Setup Complexity
Configuring and setting up code coverage tools can be complex, often requiring additional effort and specialized knowledge to ensure accurate results.
Maintenance Challenges
Keeping code coverage tests up to date as the codebase evolves is a continuous challenge, often demanding significant time and effort to ensure relevance and accuracy.
Slow Feedback Loop
The delay in receiving code coverage results can slow down the development process, hindering real-time feedback and delaying bug detection and resolution.
Transforming interactions into realistic, diverse, and customizable stubs for precise testing
Ensure Code Coverage ย with
Coverage Analysis
Keploy automates code coverage analysis, making it easier and faster.
Code Coverage Support
Keploy supports integration with python code coverage, and similarly with jest, junit, ensuring comprehensive testing of your applications.
Dynamic Test Generation
Keploy dynamically generates tests based on real user interactions, improving code coverage.
Comprehensive Reporting
Keploy provides detailed reports on complete code coverage including line, statement & branch, helping you identify areas for improvement.
Streamlined Workflow
With Keploy, you can streamline your testing workflow for better code coverage and software reliability.
"Makes it easy to unit test my complex systems with realistic test data."
Staff Engineer / @Nutanix
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"Our recent collaboration with Keploy was truly remarkable. Keploy team provided exceptional support and remained highly proactive throughout the entire experience. Keploy platform has added business value to Maruti Suzuki."
Executive Member / @Maruti Suzuki
"We've had a great experience with Keployโit's significantly improved our testing process. Using it for our Golang projects with Postgres and Redis, Keploy helps us quickly identify and fix issues by replaying real user interactions. This has saved us time and enhanced our test thoroughness. We're pleased with the results."
Senior Software Engineer / @Wednesday
Frequently Asked Questions
Yes, Keploy supports Python code coverage, ensuring comprehensive testing for Python applications.
You can merge tests generated by Keploy with your existing unit-test whether they are pyTest or Jest using language based SDK in your test file. Combining Keploy's test coverage with existing unit test coverage can increase the overall coverage in testing reports, helping in ensuring robust software delivery and enhancing overall product quality.
By streamlining testing processes, providing developer-friendly solutions, and enhancing test coverage, Keploy accelerates software delivery, ensuring robust and high-quality products reach the market efficiently.
By providing a zero code platform for automated testing, Keploy empowers developers to scale up their unit test coverage without extensive coding knowledge. This integration enhances testing reports, ultimately boosting confidence in the product's quality.
Keploy offers a comprehensive solution to unit test coverage by seamlessly integrating with existing unit tests. It allows developers to merge Keploy-generated tests with their current unit tests, enhancing overall coverage and ensuring robust software delivery.
Absolutely, Keploy helps streamline your testing workflow, ensuring better code coverage and software reliability.
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