Search Results for "ruby development tool"
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Showing 30 open source projects for "ruby development tool"
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Auth0 B2B Essentials: SSO, MFA, and RBAC Built InAuth0's B2B Essentials plan gives you everything you need to ship secure multi-tenant apps. Unlimited orgs, enterprise SSO, RBAC, audit log streaming, and higher auth and API limits included. Add on M2M tokens, enterprise MFA, or additional SSO connections as you scale.
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Coverlet
Cross platform code coverage for .NET
Coverlet is a cross-platform code coverage framework for .NET, with support for line, branch and method coverage. It works with .NET Framework on Windows and .NET Core on all supported platforms. Coverlet documentation reflect the current repository state of the features, not the released ones. Check the changelog to understand if the documented feature you want to use has been officially released. Coverlet is integrated into the Visual Studio Test Platform as a data collector. Coverlet also... -
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SBCL
Mirror of Steel Bank Common Lisp (SBCL)'s repository
Steel Bank Common Lisp (SBCL) is a high-performance Common Lisp compiler. It is open-source/free software, with a permissive license. In addition to the compiler and runtime system for ANSI Common Lisp, it provides an interactive environment including a debugger, a statistical profiler, a code coverage tool, and many other extensions. SBCL runs on Linux, various BSDs, macOS, Solaris, and Windows. See the download page for supported platforms, and the getting started guide for additional... -
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CFONTS
Sexy fonts for the console
This is a silly little command line tool for sexy ANSI fonts in the console. Give your cli some love. cfonts detects what colors are supported on your platform. It sets a level of support automatically. In cfonts you can override this by passing in the FORCE_COLOR environment variable. All settings are optional and shown here with their default. You can use cfonts in your project without the direct output to the console. The package comes with a bunch of unit tests that aim to cover 100% of... -
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Steel Bank Common Lisp
Common Lisp compiler and runtime
A high performance Common Lisp compiler. In addition to standard ANSI Common Lisp, it provides an interactive environment including an a debugger, a statistical profiler, a code coverage tool, and many other extensions. -
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JSCover
JSCover - JavaScript code coverage
JSCover is a tool that measures code coverage for JavaScript programs. It is an enhanced Java implementation of the excellent JSCoverage tool. -
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EclEmma is a free Java code coverage tool for Eclipse, available under the Eclipse Public License. It brings code coverage analysis directly into the Eclipse workbench. The EclEmma project is also the home of the JaCoCo code coverage library which is the technical back-end for EclEmma and also has integrations with many other build and software quality tools.
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Intern
A next-generation code testing stack for JavaScript
Intern is a complete test system for JavaScript designed to help you write and run consistent, high-quality test cases for your JavaScript libraries and applications. It can be used to test any JavaScript code. Intern is minimally prescriptive and enforces only a basic set of best practices designed to ensure your tests stay maintainable over time. Its extensible architecture allows you to write custom test interfaces, executors, and reporters to influence how your tests run & easily... -
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OpenCover
Code coverage tool for .NET 2 and above
OpenCover is a free and open source code coverage tool for .NET 2 and above (Windows OSs only - no MONO), with support for 32 and 64 processes and covers both branch and sequence points. It uses the profiler API that is currently only available to .NET Frameworks running on the Windows platform. OpenCover is an attempt at building a code coverage utility that addresses certain issues in maintaining PartCover support for 64-bit processes. -
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SimpleCov
Code coverage for Ruby with a powerful configuration library
Code coverage for Ruby with a powerful configuration library and automatic merging of coverage across test suites. SimpleCov is a code coverage analysis tool for Ruby. It uses Ruby's built-in Coverage library to gather code coverage data, but makes processing its results much easier by providing a clean API to filter, group, merge, format, and display those results, giving you a complete code coverage suite that can be set up with just a couple lines of code. ... -
Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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Delphi Code Coverage
Code coverage tool for Delphi
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Express & mongoose REST API Boilerplate
A boilerplate application for building RESTful APIs Microservice
A boilerplate application for building RESTful APIs Microservice in Node.js using express and mongoose in ES6 with code coverage and JsonWebToken Authentication. Helps you stay productive by following best practices. Follows Airbnb's Javascript style guide. JavaScript code linting is done using ESLint, a pluggable linter tool for identifying and reporting on patterns in JavaScript. Uses ESLint with eslint-config-Airbnb, which tries to follow the Airbnb JavaScript style guide. Supports code... -
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X10 code coverage tool
A prototype code coverage tool for x10
A code coverage tool for x10 using Jacoco -
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bcov is a code coverage tool similar to gcov. Unlike gcov, it does not require recompiling the project for coverage. Coverage is determined by using temporary breakpoints, which causes minimal overhead. gcov produces a lcov style coverge report.
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A Unibasic Code Coverage tool. It produces formatted HTML reports on the statement coverage of selected source files. Designed for UniData but should is being ported to UniVerse (still in development, but compiles and works on demonstration programs).
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Easy Coverage for Java
Dynamically generated unit tests for basic verifications.
Easy Coverage is a tool that can dynamically generate unit tests to perform basic verifications, thus leaving more time for the developers. When writing unit tests, developers often have to write the same elementary verifications over and over for most classes. This is tedious and error-prone, and keeps developers away from writing more meaningful unit tests. Easy Coverage is extensible and highly configurable. It can work as a standalone product, or be used with JUnit, which is highly... -
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The Automatic JUnit Creation Tool analyzes java classes to map all possible test branches. The tool then guides users through the generation of a JUnit test.
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Java facades in Ruby style. You can use many ruby methods (first, each, join, collect, deleteIf..) for basic classes (Array, String, Hash...). These Java methods work as in Ruby. About 60% of code coverage.
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PHPCoverage is an open-source tool for measuring and reporting code coverage provided by the test suite of a PHP application. PHPCoverage can instrument and record the line coverage information for any PHP script at runtime.
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Cov is a code coverage tool to get your code coverage after your runuing some steps for your programs.It is based on llvm(Low Level Virtual Machine,http://llvm.org/).Now,it's only a begining,so welcome anybody to join in.
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STUBborn C is a tool that allows you to create a module test framework for SW modules developed in C. The framework includes: Stubs needed to link the module; A sample Makefile to build, run tests and check code coverage; Test templates using CUnit.
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Codemon is a testing tool that enables code coverage of C codes. It supports the level of Decision Coverage and Condition Coverage.
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Javelina is an advanced code coverage tool that uses dynamic instrumentation to minimize the overhead for collecting coverage data. Additionally, Javelina allows the application of logical operations to code coverage data.
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It is a JavaDoc and comment coverage tool. It check the quality of JavaDoc and comments in Java source files. The output is like the EMMA Java code coverage.
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This profiler (JRE 1.5.0 only) uses JVMTI and native bytecode instrumentation for the analysis of the heap, reachable objects, execution time, garbage collection efficiency, code coverage and thread contention. No preparation steps required in build.
