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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.
Mad for DB - The Migration Advisor for DataBases - analyzes the differences between two database schemas, automatically finds out which changes require individual migration effort and advises migrators which concrete datasets need fixing.
Implementation of Aspect Oriented Programming (AOP) for Erlang. The AOP weaver is running against a target set of source files and controlled by aspect definitions. The weaver is implemented as a parse transformation function of Erlang compiler.
JARep is a reporting tool for application performance data, extracted from a performance measuring tool like JAMon API. The data is then stored in a database. Via a webapp or a Swing application you can view the performance over time. See SVN source.
jCodeProflier is a profiler easy to use, the cut points are added in the methods defined with regular expressions. It offers easy extension to generate its own renders, a Jmx service allows renders generation at any time of the execution.
It is based on ASM library.
The first version contains only the measures of perf methods.
A fully automated database benchmark suite that prints tabular and graphic results for multiple tested disciplines, given JDBC database connections. Some free open source database engines are included.
Stand alone Java application used simulate a memory leak in order to generate profile signatures. The application has the ability to generate system (CPU) load in order to observe profile signature changes.
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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
Objectreferenceanalyser (ORA) helps finding memory leaks, design weaknesses and bugs. The ORA-Framework visualizes objects, their content and relations during runtime of any Java application and is able to persist these findings for subsequent analyze.
Application Management makes your application life easier. Automatic do memory management, handle and log unhandled exceptions, profiling your functions, make your application single instance and also provide util functions to get system information.
Eclipse based framework to create interoperability among UML2 and Architectural Description Languages (ADLs). DUALLy works at two abstraction levels: meta-modeling (via AMW weaving models), and modeling (via UML, Ecore models and ATL transformations).
The Duine Framework allows one to develop prediction engines for recommender systems. It contains a set of prediction techniques, a way to combine these techniques and a profile manager. The framework has a plug-in architecture, allowing customization.
Stopwatch is a simple, highly extensible, API that alows monitoring of any part of the application. It reports hits, execution times and load but can be extended to do more via custom engines. It is able to persist data in "in-memory" or real database.
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.
inspectorJ is a cross platform java profiler with a graphical client that allows for profiling remote jvms. inspectorj is pre-alpha and is currently under development.
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.
Performance Issue Detector: Based on Spring AOP, a set of interceptors which detects and reports slow API's, exact methods causing JDBC connection leaks and more.
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.