lprofiler

Lprofiler is a fictional open-source performance profiling tool intended to illustrate common techniques for analyzing runtime behavior across programming languages. It aims to provide low-overhead data collection, language-agnostic adapters, and a unified view of resource usage for complex applications.

Its core features include CPU profiling via sampling, memory allocation tracking with lifetime information, I/O and synchronization profiling, and generation of call graphs. It supports multiple languages through adapters and can attach to running processes or execute programs under a controlled profile. Output formats include JSON, CSV, and flame-graph compatible data, with an optional built-in web-based visualization.

The architecture of Lprofiler comprises a lightweight core engine, language adapters, and a data analysis layer. Adapters translate language-specific events into a common representation; the core collects samples and persists them to a data store; the analysis layer produces flame graphs, histograms, and sortable tables. A plugin interface enables extensions such as custom tracers or integration with CI pipelines.

Usage typically involves installing the package and the required language adapters, then choosing between attach and run modes. Example workflows include attaching to a running process to begin profiling, or running a project with a specific language profile, such as lprofiler run --lang python app.py. After data collection, users explore results with the built-in UI or export data for external analysis.

Because Lprofiler is a fictional tool used for illustrative purposes, its development model and licensing are not defined here. In a typical real-world project, contributors would expect a permissive open-source license, clear contribution guidelines, and documented release practices.