Coverage.py vs. Spring Cloud Data Flow vs. Testwell CTC++ vs. blanket.js Comparison


Coverage.py	Spring Cloud Data Flow Spring	Testwell CTC++ Testwell	blanket.js Blanket.js
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About Coverage.py is a tool for measuring code coverage of Python programs. It monitors your program, noting which parts of the code have been executed, then analyzes the source to identify code that could have been executed but was not. Coverage measurement is typically used to gauge the effectiveness of tests. It can show which parts of your code are being exercised by tests, and which are not. Use coverage run to run your test suite and gather data. However you normally run your test suite, and you can run your test runner under coverage. If your test runner command starts with “python”, just replace the initial “python” with “coverage run”. To limit coverage measurement to code in the current directory, and also find files that weren’t executed at all, add the source argument to your coverage command line. By default, it will measure line (statement) coverage. It can also measure branch coverage. It can tell you what tests ran which lines.	About Microservice-based streaming and batch data processing for Cloud Foundry and Kubernetes. Spring Cloud Data Flow provides tools to create complex topologies for streaming and batch data pipelines. The data pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. Spring Cloud Data Flow supports a range of data processing use cases, from ETL to import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server uses Spring Cloud Deployer, to deploy data pipelines made of Spring Cloud Stream or Spring Cloud Task applications onto modern platforms such as Cloud Foundry and Kubernetes. A selection of pre-built stream and task/batch starter apps for various data integration and processing scenarios facilitate learning and experimentation. Custom stream and task applications, targeting different middleware or data services, can be built using the familiar Spring Boot style programming model.	About Testwell CTC++ is a powerful instrumentation-based code coverage and dynamic analysis tool for C and C++ code. With certain add-on components CTC++ can be used also on C#, Java and Objective-C code. Further, again with certain add-on components, CTC++ can be used to analyse code basically at any embedded target machines, also in very small ones (limited memory, no operating system). CTC++ provides Line Coverage, Statement Coverage, Function Coverage, Decision Coverage, Multicondition Coverage, Modified Condition/Decision Coverage (MC/DC), Condition Coverage. As a dynamic analysis tool, CTC++ shows the execution counters (how many times executed) in the code, i.e. more than a plain executed/not executed information. You can also use CTC++ to measure function execution costs (normally time) and to enable function entry/exit tracing at test time. CTC++ is easy to use.	About A seamless JavaScript code coverage library. Blanket.js is a code coverage tool for JavaScript that aims to be easy to install, easy to use, and easy to understand. Blanket.js can be run seamlessly or can be customized for your needs. JavaScript code coverage compliments your existing JavaScript tests by adding code coverage statistics (which lines of your source code are covered by your tests). Parsing the code using Esprima and node-falafel, and instrumenting the file by adding code tracking lines. Connecting to hooks in the test runner to output the coverage details after the tests have been completed. A Grunt plugin has been created to allow you to use Blanket like a "traditional" code coverage tool (creating instrumented copies of physical files, as opposed to live-instrumenting). Runs the QUnit-based Blanket report headlessly using PhantomJS. Results are displayed on the console, and the task will cause Grunt to fail if any of your configured coverage thresholds are not met.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Any user looking for a solution to measure line and branch coverage to produce test reports	Audience Companies and professionals seeking a solution to manage their streaming and batch data processing operations	Audience IT teams looking for an advanced Code Coverage solution	Audience Developers seeking a solution to manage their code tracking processes and statistics
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API	API Offers API	API Offers API
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Pricing Free Free Version Free Trial	Pricing No information available. Free Version Free Trial	Pricing Free Free Version Free Trial	Pricing Free Free Version Free Trial
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Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Coverage.py United States coverage.readthedocs.io/en/7.0.0/	Company Information Spring spring.io/projects/spring-cloud-dataflow	Company Information Testwell www.testwell.fi/ctcdesc.html	Company Information Blanket.js github.com/alex-seville/blanket
Alternatives Coverlet	Alternatives Spring Framework Spring	Alternatives Coverage.py	Alternatives Istanbul
JCov OpenJDK	Spring Boot VMware Tanzu	JCov OpenJDK	RKTracer RKVALIDATE
NCover	Azure Spring Apps Microsoft	RKTracer RKVALIDATE	jscoverage
blanket.js Blanket.js	Spring Tools 4 Spring	Devel::Cover metacpan	Testwell CTC++ Testwell
Devel::Cover metacpan View All	JHipster View All	BullseyeCoverage Bullseye Testing Technology View All	Coverage.py View All
Categories Code Coverage	Categories Data Pipeline Event Stream Processing Microservices	Categories Code Coverage	Categories Code Coverage

Integrations Apache Tomcat Axis LMS C# C++ Cloud Foundry Codecov HTML JSON Java Kubernetes Microsoft Excel Python QUnit SQLite Spring Framework Tidelift VMware Cloud Visual Studio pytest pytest-cov Show More Integrations View All 12 Integrations	Integrations Apache Tomcat Axis LMS C# C++ Cloud Foundry Codecov HTML JSON Java Kubernetes Microsoft Excel Python QUnit SQLite Spring Framework Tidelift VMware Cloud Visual Studio pytest pytest-cov Show More Integrations View All 6 Integrations	Integrations Apache Tomcat Axis LMS C# C++ Cloud Foundry Codecov HTML JSON Java Kubernetes Microsoft Excel Python QUnit SQLite Spring Framework Tidelift VMware Cloud Visual Studio pytest pytest-cov Show More Integrations View All 11 Integrations	Integrations Apache Tomcat Axis LMS C# C++ Cloud Foundry Codecov HTML JSON Java Kubernetes Microsoft Excel Python QUnit SQLite Spring Framework Tidelift VMware Cloud Visual Studio pytest pytest-cov Show More Integrations View All 5 Integrations
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