Search Results for "basic programming software"

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...

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 IDEs (CLion, Eclipse e.t.c) is straightforward. ...

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

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...

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.

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.