Search Results for "claw-code"
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Showing 53 open source projects for "claw-code"
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Webgrind
Xdebug Profiling Web Frontend in PHP
...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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py-spy
Sampling profiler for Python programs
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 line of the python program you want to run. py-spy has three subcommands record, top and dump. py-spy supports recording profiles to a file using the record command. ... -
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qlogtimeliner
Your application log analysis tool.
...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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ParTools
Support for manual parallelization of sequential C programs.
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. The annotated program is then executed using a... -
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cloc (Count Lines Of Code) counts, and computes differences of, comment lines, blank lines, and physical lines of source code in many programming languages. cloc is now being developed at https://github.com/AlDanial/cloc
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lockviz
Visualization of Java thread dumps
This tool allows the user to load, visualize and analyse Java thread dumps that are generated by Visual VM. Please see the Wiki for a Quick Start guide and tutorials. -
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configthis
Manage and execute Linux testing and reporting programs
These bash shell scripts are intended to iteratively load executable files via symbolic links and echo output to a log file for later review. These bash shell scripts rely on a directory structure intended to group testing and reporting executable files by project, target platform, and version. -
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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
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Scenario
Simple, neat and powerful tool for loading and managing JS scripts
Scenario is a very simple yet neat and powerful tool for loading and managing JS scripts. Scenario is very useful for the following cases: 1. Unit testing for JS without reloading the web page and re-engineering your code. 2. Load and manage scripts stored in arrays (code management). 3. Optimize coding flow by dynamically switching among best solution per case. 4. Run scenarios either distinctly or in parallel. 5. Keep easier track of bugs and errors when deploying. So, Scenario executes multiple views of your code or multiple scenarios of your code life-time on-demand. -
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SLOCCount is an easy-to-use tool that counts Source Lines of Code (SLOC). It auto-determines the language(s) (inc. C, C++, Ada, Assembly, shell, COBOL, C#, Fortran, Haskell, Java, LISP/Scheme, Perl, PHP, Python, Ruby, SQL). It also estimates cost & time.
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AOP for Erlang
Aspect Oriented Programming (AOP) for Erlang
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. -
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AnalysesOracle Performance Doctor is a tool which helps you to understand the behavior of your application on Oracle database level. The tool does: 1. Extract execution plan for all SQLs executed by specified db user and print it to file on server side. 2. For all executed SQL statements the tool will provide more performance version of sql text by using built-in module dbms_sqltune.
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bcov is a code coverage tool similar to gcov. Unlike gcov, it does not require recompiling the project for coverage. Coverage is determined by using temporary breakpoints, which causes minimal overhead. gcov produces a lcov style coverge report.
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Poor Man's Timing And Profiling
Library tools to collect timing in Java, C, C++
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. -
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Memory Profiler for C
Simple C library for helping writting code with no memory leaks
Memory Profiler for C is a very simple C library for helping developers writting code which contains no memory leaks. It keeps track of all the allocated dynamic memory and allows for its printing. The source code is very simple and easily customizable. -
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QProf
QProf is the visual tool for profiling text information.
What is QProf ? QProf is a visual tool for developers, which displays the execution profiling output generated by code profilers. The output of profilers being usually difficult to read (beyond the flat profile information), QProf presents the information in list- or tree-views that make the information very easy to understand. This project was ported from KProf (Qt3/KDE) project. -
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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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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.
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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.
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A Ruby file parser/interpreter/preprocessor that comments lines of code based on conditions at the time the file is required. Very handy to implement debugging logs and code that has to be commented (not just dynamically switched off).
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Perfidix is a tool for developers to conveniently and consistently benchmark Java code. It's intentionally designed to be used like JUnit to simplify its adoption and comes with a suitable Eclipse plugin. NOTE: THIS PROJECT HAS MOVED TO GITHUB!
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Fossa is a runtime CUDA memory extender for Linux. With fossa, users can run CUDA applications that require more than the available amount of GPU memory. Fossa is targeted toward command line driven applications.
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Note: this tool has moved to github, this repository is not maintained any more. See https://github.com/turdusmerula/ftrace GScopeLog is a tool for instrumenting c++ code through gcc. The main purpose is to trace entry/exit point of functions. A status file may be generated to give overview of functions calls and timing informations with minimal impact on performances.
