ALF is a native logging framework for Java with the unique advantage of supporting automated method tracing. This platform-independent library allows developers to debug their applications quickly without adding any code. By simply adding an argument to the JVM, you will get immediate method tracing, which can be filtered by package or class and sent to the console or a file. You can also use the ALF logging library to integrate information, warning, error, or exception statements into the output.
Log4php is a PHP port of Log4j, the most popular Java logging framework. It supports configuration through XML and properties files (with the same structure as log4j) and custom Configurators. File, RollingFile, DailyFile, Echo, Console, Mail, PEAR::Db, PHP error, Syslog or NT events, and socket appenders are supported. Simple, TTCC, Pattern, Html, and Xml Layouts are supported. It also supports Filters, custom Levels, and Loggers. Internal debugging can be switched on and off. Log4php can be used inside a class or inside a main/sub function.
ErrorLog allows web developers quick and easy access to clearly formatted entries from the apache error_log file, viewable through a standard browser. It is designed with the developer in mind, with a focus on debugging CGI error logs. It by provides formatted HTML display of the log messages, merges multi-line entries while preserving whitespace formating, adds some highlighting for common elements (such as file paths, quoted strings, timestamps and digits) and transforms referrer strings into hyperlinks.
NoBug is a library which provides assertions, logging statements, and annotations for C and C++ programs. It includes pre-/post-condition and invariant checks, as well as generic assertions. Checks are enabled based on build-levels and scope tags. It also includes debugger support (valgrind), dumping of data structures, logging your application's activities, runtime customizable logging via environment variables, different logging targets (ringbuffer, stderr, syslog, debugger, etc.), and annotation of your source code regarding known bugs, things to do, and planned things. It can track resources and detect deadlocks.
MPI Parallel Environment (MPE) is a software package for MPI (Message Passing Interface) programmers. It provides users with a number of useful tools for their MPI programs such as a set of profiling libraries that collect information about the behavior of MPI programs, graphical trace file analyzers, serializers, type checkers, collective operations validators, etc.