Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Deep Cover strives to be the premier tool for Ruby code coverage, delivering enhanced accuracy for both line and branch coverage metrics. It serves as a seamless alternative to the standard Coverage library, providing a clearer picture of code execution. A line is deemed covered only when it has been fully executed, and the optional branch coverage feature identifies any branches that remain untraveled. The MRI implementation considers all methods available, including those created through constructs like define_method and class_eval. Unlike Istanbul's method, DeepCover encompasses all defined methods and blocks when reporting coverage. Although loops are not classified as branches within DeepCover, accommodating them can be easily arranged if necessary. Even once DeepCover is activated and set up, it requires only a minimal amount of code loading, with coverage tracking starting later in the process. To facilitate an easy migration for projects that have previously relied on the built-in Coverage library, DeepCover can integrate itself into existing setups, ensuring a smooth transition for developers seeking improved coverage analysis. This capability makes DeepCover not only versatile but also user-friendly for teams looking to enhance their testing frameworks.
Description
Tarpaulin serves as a tool for reporting code coverage specifically designed for the cargo build system, drawing its name from a durable cloth typically employed to protect cargo on ships. At present, it effectively provides line coverage, though it may still exhibit some minor inaccuracies in its output. Significant efforts have been made to enhance its compatibility across various projects, yet unique combinations of packages and build configurations can lead to potential issues, so users are encouraged to report any discrepancies they encounter. Additionally, the roadmap offers insights into upcoming features and improvements. On Linux systems, Tarpaulin utilizes Ptrace as its default tracing backend, which is limited to x86 and x64 architecture; however, this can be switched to llvm coverage instrumentation by specifying the engine as llvm, which is the default method on Mac and Windows platforms. Furthermore, Tarpaulin can be deployed in a Docker environment, making it a practical solution for users who prefer not to run Linux directly but still wish to utilize its capabilities locally. This versatility makes Tarpaulin a valuable tool for developers looking to improve their code quality through effective coverage analysis.
API Access
Has API
No
API Access
Has API
No
Integrations
Codecov
Yes
Code Climate
Yes
CodeShip
No
Coveralls
Yes
Docker
No
GitHub
No
Istanbul
Yes
Jenkins
No
Microsoft Azure
No
Python
No
Integrations
Codecov
Yes
Code Climate
No
CodeShip
Yes
Coveralls
No
Docker
Yes
GitHub
Yes
Istanbul
No
Jenkins
Yes
Microsoft Azure
Yes
Python
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
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
DeepCover
Country
United States
Website
github.com/deep-cover/deep-cover
Vendor Details
Company Name
Tarpaulin
Website
crates.io/crates/cargo-tarpaulin