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py-spy is a sampling profiler for Python programs. It lets you visualize what your Python program is spending time on without restarting the program or modifying the code in any way. py-spy is extremely low overhead: it is written in Rust for speed and doesn't run in the same process as the profiled Python program. This means py-spy is safe to use against production Python code. py-spy works from the command line and takes either the PID of the program you want to sample from or the command...
Fast, multi-threaded malloc() and nifty performance analysis tools
GPerftools (formerly Google Performance Tools) is a collection of a high-performance multi-threaded malloc() implementation, plus some pretty nifty performance analysis tools useful for creating more robust applications. These tools can be especially useful when developing multi-threaded applications in C++ with templates. Among these tools are TCMalloc, a thread-friendly heap-checker, heap-profiler and cpu-profiler.
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.
...Bar graphs represent the percentage of Total CPU Usage, and the percentage of Total 1 Minute Load Average.
Default wait interval between system readings is 5secs. But a different one can be set in the command line with the "-i" argument. Default output is formatted for the standard console width of 80 columns, and will show only the bar chart for the CPU usage. To change this, use the "-w" argument explained below in the "usage" section.
Developer: Ismael Antadillas
BSD 3 License
Usage:
cpuplot -i [seconds] -w [small medium large xlarge]
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A collection of library code and tools for application execution profiling and performance testing. You can create stopwatches to time select portions of your code. You can measure differences (often to sub-millisecond accuracy) between clocks on different machines. You can log application events in a .csv format for subsequent analysis. You can also generate CPU loading logs in a .csv format.
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.
A Java library to run diagnostic tasks for a Web application at runtime. Configured tasks verify the availability of external resources such as property files, datasources and JNDI bindings. A run can detect problems ahead of using your application.
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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QuickProf is a simple runtime performance measurement tool for C++ code. It provides a rough performance estimate with minimal effort. This kind of feedback can be invaluable to developers who want to optimize performance where it matters.
This is a simple C/C++ tool to exactly profile certain functions/blocks of code in a multithreaded application.
In particular, this tool can be used to precisely measure overheads.
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.
SwingDebugger is a developer toolkit and viewer to inspect and manipulate java swing applications at runtime. Users can write own "plugins" easily. The project also contains an eclipse integration which reuses current runtime configurations.
Jarrut is a tool that makes developing and debugging Java ME applications (application using CLDC to be more specific) a bit less of a pain. Jarrut enables proper stack traces for exceptions, also when running a MIDlet on a real device
JIP is a high performance, low overhead profiler that is written entirely in Java. JIP gives the developer the ability to turn the profiler on and off while the VM is running. You can also filter out classes and packages as well as control the output.
Jwebap is an profiler tool for j2ee application with jdk 1.4 and up.You can use it to monitor method,jdbc,jsp executions etc.And then view in a web console.It can be used not only in test environment but production environment with very low-overhead.
JSysmon is a Java library providing access to system information like CPU or Memory usage on various platforms using native calls. It can be used to build cross-platform monitors in your applications.
JDBC Tools is a proxy driver framework for monitoring Java database access. It has pre-built JDBC logger and SQL query planning modules, but can be extended through a simple API to perform other monitoring operations.
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.
Sake is a PHP implementation of Polynomial Least Squares Regression. The algorithm takes data points as input and returns the resulting polynomial. Graphs can be made using any plotting package. Sake provides the polynomial and will compute as many point
jMonit is a thin, performant, easy to use monitoring toolkit you can add to your app to monitor it's use on production server, including performances, load and scalability. jMonit tracks execution time and threads activity but can also gather any numeri
JISC Demonstrator (eTools) project that integrates both the JISC DELTA and eProfile toolkits into a single user-interface. Users can view and search their social-networks (based on the eProfile functionality), and search for resources in Delta.
SLO profiles the data locality in your program, and afterwards suggests refactorings that can improve that data locality, leading to fewer cache misses and faster execution.
JMonitoring and NMonitoring are monitoring frameworks for Java and .Net applications, based on AOP (AspectJ and AspectDNG). Data are stored in database, memory or XML and can be consulted with a web console. http://forge.octo.com/confluence/display/JMO
Spring-dashboard provides real-time statistic and monitoring view of any spring-framework web application. With Spring-dashboard developers and testers can monitor flows within the application, as well as gather statistic information on application usage