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Showing 57 open source projects for "data"
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Webgrind
Xdebug Profiling Web Frontend in PHP
Webgrind is an Xdebug profiling web frontend for PHP, offering a lightweight and easy-to-use interface to visualize profiling data. It helps developers identify performance bottlenecks in their applications by displaying function call statistics, memory usage, and execution time. Webgrind is ideal for performance analysis and optimization of PHP code, providing insights into code efficiency. -
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Windows Plot (wplot)
Windows Ploting Software
...wplot does NOT generate data. wplot reads data points from file(s) and generates varied plots based on that data. A single Windows executable. Simple installation. Just download executable file and run. wplot is 100% FREE to use. No restrictions of any kind. -
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miniperf
Perfmon PMU Collecting tool
command line based tool to collect Perfmon Counting data from Hardware PMU C ounters on Intel x86 processors Supported Platforms <> Server - Intel 5th Gen Xeon Processor (Emerald Rapids) -> Core (Raptor Cove) - Intel 4th Gen Xeon Processor (Sapphire Rapids) -> Core (Golden Cove) -> CHA <> Client - Intel 14th Gen Client Processor (Meteorlake) -> P-CORE (Redwood Cove) -> E-CORE (Crestmont) - Intel 13th Gen Client Processor (Raptorlake) -> P-CORE (Raptor Cove) -> E-CORE (Gracemont) -> ARB - Intel 12th Gen Client Processor (Alderlake) -> P-CORE (Golden Cove) -> E-CORE (Gracemont) -> ARB -
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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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GazerNode
Monitoring and control system
This is a small and simple application that runs as a Windows service to record metrics several times per second. Metrics can be very different. For example, memory usage by a process or ping to a host. The application does not require a DBMS. The data is stored in an open binary format. Data viewing is possible in the form of graphs of the history of changes and in tables of current values. The configuration setting is done without editing the config files - everything is available directly in the UI application. -
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qlogtimeliner
Your application log analysis tool.
This tool helps with analysis multithreaded logs by visualising log events on a timeline. It is user responsibility to create rules for log parsing in actionscript (like JavaScript) You need to have latest Qt sdk installed in order to build it from source code. -
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libinstrument (ex libcsdbg)
C/C++ function instrumentation (AOP, exception/stack tracing, GC)
Libinstrument is a complete and easy way to do custom function instrumentation for C/C++. The project comes ready with classic applications of instrumentation, such as AOP (Aspect Oriented Programming), Concern and Side Effect injection, stack tracing, exception tracing, basic time profiling, callgraph profiling and other. A GC (Garbage Collector) module is also under development. Libinstrument is highly portable and decoupled. The project comes with a CMake build system, integration with... -
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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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ParTools
Support for manual parallelization of sequential C programs.
...The annotated program is then executed using a significant (but small) data set selected by the developer. The data collected is cross-referenced with the original source and can be interactively analyzed graphically to determine the best parallelization candidates and techniques. -
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Restful APIs for Data Cleansing
This is sister project for osDQ which provide Restful APIs
(Beta Version) This is sister project for https://sourceforge.net/projects/dataquality/ . It provides Restful APIs for features for data quality and data preparation features. This project will help projects which want embed data quality and data preparation features in their project or UI using restful calls. Data Cleansing APIs Dockerfile: # Pull base image FROM frnde/jetty-9.4.2-jre8-alpine-cet ADD osdq-v0.0.1.war /var/lib/jetty/webapps/osdq.war EXPOSE 8080 Docker Image https://hub.docker.com/r/vreddym/osdq-web/tags -
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LightProfiler
Profiler for Oracle extended SQL trace files
...It generates detailed resource profile for extended SQL trace files (10046 event), containing information about consuming of response time (by events, by cursors, etc.), data files usage, error analysis (SQL, PL/SQL) and much more. Also it contain tools for additional processing of trace files (extract session data, splitting files) and for management of database's sessions (disconnecting, tracing, monitor parameters, blocking locks, events and etc.) -
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Graal collects profiling information when interpreting Java Bytecode. This tool gives the user the ability to inspect these Graal internal datastructures easily. Installation instructions are provided in the wiki.
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QUAD
QUAD Memory Access Profiling Toolset
QUAD (Quantitative Usage Analysis of Data) consists of several tools that provide a comprehensive overview of the memory access behavior of an application. The primary goal is the detection of the actual data dependencies at the function-level. -
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QCacheGrind (KCacheGrind) Windows build
Windows prebuilt binary of QCacheGrind (better known as KCacheGrind)
The QCacheGrind branch of KCacheGrind compiled with the QT5 toolkit for use in Windows. This tool allows visualisation of profiling data in the callgrind-format. For Xdebug (PHP), version 2.2+ of the extension is recommended. Currently built and tested in Windows 7 for x86 and x64. Please go to https://sourceforge.net/projects/kcachegrind for the source. Description from the main project: KCachegrind visualizes traces generated by profiling, including a tree map and a call graph visualization of the calls happening. ... -
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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.
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...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.
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Stochastic performance measurement.
Continuous profiling based on stochastics
Based on a software implementation of an Adaptive Digital Element (ADDiE) this project provides a utility for continuously measuring performance data and generating images out of it. Mainly targeted at FPC, it should be useable with Delphi, too. -
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This project is a tool for beginners to understand why a MPI program works or doesn't. It aims simple MPI codes, with a modest number of Processes. It is a real time view of an executing code, providing help even when the program deadlocks.
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VisualMon is a concise dashboard for Java web applications, it shows statistics gathered by JAMon, reduced to the data relevant to the concrete web application and with a visually pleasant appearance.
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A collection of reporting utilities specific to The Grinder test tool. The tools consist of a reporting database and graphing utilites based upon jyplot and jFreechart written in jython.
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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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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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A .NET CRL Profiler. Allow to profile .NET managed applications storing data into a SQL Server Express Database.
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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
