3 रिपॉजिटरी
Retrieving technical implementation details of functions from a binary or runtime environment.
Distinct from Metadata Inspection: None of the candidates cover extracting memory addresses and parameter counts from engine functions.
Explore 3 awesome GitHub repositories matching programming languages & runtimes · Function Metadata Extraction. Refine with filters or upvote what's useful.
VizTracer is a Python runtime instrumentation system and execution profiler used to trace and visualize code execution. It functions as a multi-process performance analyzer and trace visualizer, providing an interactive timeline and flamegraph interface to identify performance bottlenecks and analyze call sequences. The project distinguishes itself by its ability to aggregate execution data from multiple threads, subprocesses, and asynchronous tasks into a single unified report. It also features live process instrumentation, allowing users to attach to and detach from running Python applicati
Provides mechanisms to exclude specific functions and their descendants from the execution trace to reduce noise.
Universal Ctags is a multi-language symbol indexer and regex-based parsing engine used to extract and catalog functions, classes, and variables from source code. It functions as a source code indexer that scans files across diverse programming languages to create searchable catalogs of definitions and declarations. The project is distinguished by its extensible parser framework, which allows users to define new language rules using regular expressions and configuration files. It supports complex parsing scenarios through state-based parsing, stack-oriented scope tracking, and guest-parser del
Captures modifiers such as virtual and static as metadata fields for indexed functions and variables.
gprof2dot is a performance graph generator and visualizer that converts gprof GNU profiler execution profiles into Graphviz DOT files. It transforms raw profiler data into a directed graph to map function call hierarchies and identify software bottlenecks. The tool employs heuristic-based color mapping to highlight performance hotspots by assigning colors to nodes and edges based on execution time percentages. It also supports differential profile analysis, allowing for the comparison of two distinct execution graphs to identify changes in timing and call counts between runs. To improve visu
Extracts and displays specific function entries from input data to define the rendering scope.