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
mpiP is a lightweight profiling library for MPI applications.
ebizzy is designed to generate a workload resembling common web application server workloads. It is highly threaded, has a large in-memory working set, and allocates and deallocates memory frequently.
ViennaProfiler allows to compare execution times of full programs or parts of a program. Execution times are stored in a MySQL database and conveniently analyzed via a web-interface. A C++ client API is provided, other languages can also be used.
An eclipse plug-in used to plan software development projects based on RUP, with risk analysis, scheduling and activity distribution. PLUS extract from use case diagrams created by Jude (http://jude.change-vision.com).
gcov-eclipse is an Eclipse plug-in that will extend CDT to provide code-coverage testing to C/C++ projects by using the gcov program. It will integrate into the CDT's launch and managed build system.
Shiny is a lightning fast, fully documented & by-far-easiest-to-use C/C++/Lua profiler with no extensive surgery. Results are smoothed & shown in run-time as a call-tree or sorted-by-time. Output also renderable as graphs in Ogre3D or your custom engine
The goal of this project is to develop the OS-independent, obtrusive, customizable, extensible, generic logging and tracing software mechanism.
A Python programming environment providing memory sizing, profiling and analysis, and a specification language that can formally specify aspects of Python programs and generate tests and documentation from a common source.
osDQ project dedicated to create apache spark based data quality
This is an offshoot project of open source data quality (osDQ) project https://sourceforge.net/projects/dataquality/ This sub project will create apache spark based data quality and data preparation features for big data. This uses java API of apache spark
Library for dynamic tuning of program parameters.
Library for dynamic tuning of program parameters for best performance of program.
Your application log analysis tool.
CxxProf is a manual instrumented Profiling library for C++
Please take a look at our project wiki for more detailed information: https://github.com/monsdar/CxxProf/wiki/What-is-CxxProf%3F
Photran Metrics is a plugin for the Eclipse-based Fortran IDE, Photran. Photran Metrics provides basic software metrics for a Fortran project.
wxPyProfiler is a Python/wxPython front-end application for the Python Profiler provided in the modules profile and pstats.
A C++ library that includes classes and macros that track the path traveled by an exception. Useful to log stack-dumps or debugging.
This project benchmarks the performance of three Java toolkits for working with VMware Infrastructure and vSphere: VI (vSphere) Java, the VI SDK for Java, and the vSphere SDK.
GDG would be a generic engine for acquiring data from different devices. Its works using plug-in and so everybody can write his own plug-in for a specific device. It is very helpfull for to analyze/collect data exchanged between two or more devices.
massiftool is a simple, lightweight tool to examine and visualize (create graphs from) the output of valgrind's massif, written in C++/Qt
SYSTEM FOR DESIGNING AND SIMULATE CONCURRENT AND DISTRIBUTED PROGRAMS IN CLUSTER ARCHITECTURE Provides graphical interface for configuring relationships between cooperating, abstract processes and simulate it in real cluster environment, using MPI.
CQSAT is a powerful, comprehensive and extensible framework for static analysis of program source code and detection of software defects.
V-Con is a simple, Open Source version control system.
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.
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.