Search Results for "data analysis and visualizing"

ParTools allows the interactive analysis of a C program execution profile and data dependencies to facilitate the discovery and selection of suitable parallelization candidates in a manual parallelization process. The flow does not assume any specific parallelization technique, thus it can be broadly applied. The original (serial) C source is automatically annotated to trace the execution profile and data dependencies at run-time.

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.

Jensor is a light-weight, low-overhead Java Profiler built using Java BCI. Jensor provides innovative analysis modules like JVM Replay, Pattern Analysis and Tagging Engine for technical as well as business analysis based on the same underlying data.

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.

Rapidlogix is an open source application performance management tool optimized for distributed production environments. It allows to increase time-to-market of performance improvements and prevent performance regression

...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.

Tuning Fork Visualization Platform is a data visualization and analysis tool built on the Eclipse Rich Client Platform that supports the development and continuous monitoring of systems. It is particularly useful for real-time systems.

Watchdog is a Java performance monitoring and tuning framework. It is suitable for production environments allowing flexible auditing of performance data for later analysis by a comprehensive set of tools.