Minnesprofiler

Minnesprofiler is a memory profiling tool designed to help developers analyze the memory behavior of software applications. It collects data about allocations, deallocations, object lifetimes, and garbage-collection events to help identify leaks, memory bloat, and inefficient allocation patterns. The tool is designed to work across multiple runtimes and platforms, typically via an agent or a set of adapters that instrument target processes or run in a sampling mode.

Core features include allocation and lifetime analysis, heap snapshots, GC event tracing, and visualizations such as flame graphs and allocation timelines. It supports multiple programming languages through runtime-specific adapters, offers configurable sampling and instrumentation levels to balance detail and overhead, and provides standard data export formats (JSON, CSV) for further analysis or integration with other tools.

Minnesprofiler is intended for use in both development and production-like environments. Typical workflows involve attaching to a running process or starting a profiling session, collecting data over a defined period, and examining reports to locate memory hotspots, growth trends, or potential leaks. The tool emphasizes low overhead, reproducibility of results, and the ability to compare memory behavior across builds or configurations.

Architecture and ecosystem: The project generally comprises a profiling agent, a data processing backend, and a visualization or UI layer. It is designed with extensibility in mind, offering adapters for different runtimes and pluggable exporters for downstream tooling. The approach supports local debugging, CI workflows, and staging environments where reliable memory metrics are essential.

Availability: Minnesprofiler is distributed under an open-source license and hosted in a public repository, where users can contribute and consult documentation. See also memory profiler, heap analysis, and performance profiling.