Search Results for "logging"
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Showing 19 open source projects for "logging"
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Cinemagoer
Python package to retrieve and manage data of the IMDb
Cinemagoer is a Python package useful to retrieve and manage the data of the IMDb movie database about movies, people, characters and companies. Platform-independent, it can retrieve data from both the IMDb's web server and a local copy of the whole db. -
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Performance Monitoring Tool for Java / J2EE Applications. Features: light-weight profiler, AOP based, lists API times, JDBC / SQL statistics, central logging, cluster support, web UI, call trees, configurable monitoring levels.
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logview4net is a log viewer/log monitor for data created by various sources. It can listen to UDP, tail a file, tail a SQL table, monitor the eventlog and watch RSS and Atom feeds. It requires the Microsoft .NET Framework 2.0
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Log5j is a lightweight and fast java logging library for Java versions 5 and above. It is very similar to log4j in style, but uses Java 5's varargs feature to allow any number of arguments to be passed to any logging method.
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JSpoor is a utility software for logging and recording of user interface events and actions during working sessions of users with a Java/Swing Software. It captures and records both high level (semantic) actions and low level actions such as mouse moves.
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x4juli is an e(x)tension for(4) the (j)ava util(u) (l)ogging implemantion. It is a port of major log4j features (RollingFileHandler, PatternLayout, Filters). It includes a native implementation of "Jakarta Commons Logging" and "slf4j".
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JSnapshot is an advanced java exception logging, monitoring and analysis tool. It traces thrown exceptions in real-time and logs a snapshot of call stack, variables and objects for every thrown exception. Fully integrated with Eclipse IDE.
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A Ruby file parser/interpreter/preprocessor that comments lines of code based on conditions at the time the file is required. Very handy to implement debugging logs and code that has to be commented (not just dynamically switched off).
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Logbus-ng consists in a set of tools to aid developers perform Log Analysis in all the stages: log generation, collection, distribution, storage and analysis. It is designed specifically for Field Failure Data Analysis in critical distributed systems
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Java exception extractor. This utility will parse all files (either plain text or bzipped) and tries to search for various exceptions. It then tries to match exceptions against grouping rules (regexps). It is also able to group unrecognised exceptions.
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Mindtree Insight
Log file parser and viewer
Insight, the analysis TechTool for developers is a platform independent tool for viewing & analying run time meta data of applications. It aids in trouble shooting problems, and aids the developer in every day work through very advanced log analysis. -
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At an early stage of development. Application/middleware usage monitoring/reporting. Focus on business transactions/use cases to help communicate with users. Small footprint, easy to use GUI and a level of statistical analysis to summarise the data.
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Supai is a window creation logger for Windows(tm). It can log the creation (or destruction) of any window while filtering out uninteresting data using the PCRE library. It logs both window title and class, and can filter on both of these attributes.
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An adaptable, platform-agnostic application incident reporting infrastructure ranging from logging libs and webservice-based reporting to a J2EE logging server to a pluggable connection to issuemanagers.
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The goal of this project is to develop the OS-independent, obtrusive, customizable, extensible, generic logging and tracing software mechanism.
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COMPAS J2EE is a non-intrusive performance instrumentation and monitoring toolkit for J2EE. It uses adaptive monitoring to automatically adjust the target coverage. COMPAS is completely portable across J2EE application servers and OSs.
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Stat4j is a simple lightweight extension to the popular Java logging package log4. It allows logs to be intercepted and mined in real-time for application statistics including performance metrics.
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This project aims at being the spearhead of logging tools. It will integrate with existing logging frameworks and will incorporate unique features to maximize speed and usability.
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