980 projects tagged "Apache 2.0"
SableCC is a parser generator that generates fully featured object-oriented frameworks for building compilers, interpreters, and other text parsers. In particular, generated frameworks include intuitive strictly-typed abstract syntax trees and tree walkers. SableCC also keeps a clean separation between machine-generated code and user-written code, which leads to a shorter development cycle.
DSFoundation is a foundation enhancement library for Objective-C. It includes an IOC (Inversion of Control) container, translation (serialization and conversion) to and from Objects, YAML, and XML, automatic KVC adaptation and compliance, logging through an integrated Log4Cocoa, regular expression extensions, and much more.
ContiPerf is a lightweight testing utility to easily leverage JUnit 4 test cases as performance tests, e.g. for continuous performance testing. It is inspired by JUnit 4's easy test configuration with annotations, and by JUnitPerf's idea of wrapping Unit tests for performance testing, but is more powerful and easier to use. It uses Java annotations for defining test execution characteristics and performance requirements. You can mark a test to run a certain number of times, or to be repeatedly executed for a certain amount of time. Performance requirements can be maximum, average, medium, or any percentile execution time. You can run tests in two different modes, using them as simple unit tests or performance tests. Easy integration with Eclipse and Maven. Export of an execution summary to a CSV file. A small library without external dependencies (only JUnit).
Boar provides simple version control and backup for photos, videos, and other binary files. Boar aims to be the perfect way to make sure your most important digital information, like pictures, movies, and documents, is stored safely. It makes it possible for you to restore any or all of your files from any point in time. It makes it easy to maintain verified backups of your data, including file history. It imposes no limits on file or repository sizes. Using boar is an effective way to prevent data loss due to human or machine error.