Projects sharing features with Lptrace

gdb-dashboard is a visual frontend and Python-based extension for GDB. It provides a modular dashboard that enables real-time visualization of program state during debugging sessions. The project replaces manual command-line interaction with a structured visual interface. It utilizes syntax highlighting for program state data to improve readability and analysis during the debugging process. The system focuses on C and C++ debugging, automating the monitoring of program memory and execution state through a text-based user interface. It achieves this by integrating with GDB APIs to retrieve sy

Pyre is a high-performance static type checker and analysis tool for Python. It identifies type errors and ensures type safety without executing the program, utilizing a static type inference engine to maintain consistency across functions. The project is distinguished by an incremental type analysis engine that operates as a background daemon. This system monitors filesystem changes to re-validate only modified parts of a project, reducing the time required for repeated analysis. It also includes a static analysis security tool that uses taint analysis to track untrusted data flows and ident

Qira is a runtime analysis tool and interactive binary debugger designed for the QEMU emulator. It functions as a binary execution tracer that records a full timeline of instruction invocations and provides a system for monitoring memory operations within guest processes. The project enables the analysis of compiled binaries by tracing instruction-level execution and mapping raw memory addresses to user-defined annotations. It includes capabilities for state-snapshotting to manage execution forks, allowing the navigation of divergent logic paths and the inspection of CPU register states and s

This project is a suite of runtime diagnostic tools designed to detect memory leaks, concurrency races, and language-specification violations during software execution. It provides a collection of dynamic analysis tools that identify addressability issues, uninitialized memory usage, and memory safety bugs in applications. The toolset includes a thread safety analyzer to identify data races and deadlocks in concurrent code, as well as an undefined behavior sanitizer to detect operations that violate language specifications. The system covers broad capabilities in memory safety monitoring and

This is a visual debugging tool for VS Code that renders program variables and data structures as graphical diagrams during active debugging sessions. It functions as a programmable framework that converts internal runtime data and debug expressions into visual representations to assist in understanding program state. The project distinguishes itself through a programmable extraction system that allows the injection of custom JavaScript scripts into the debuggee. These scripts define how project-specific data types are parsed and transformed into JSON formats compatible with the visualization

Full-screen console debugger for Python

BCC is an eBPF development toolkit and tracing framework used for monitoring and analyzing the Linux kernel. It functions as a performance analysis tool and debugging utility to capture system events, measure kernel latency, and provide network observability. The project distinguishes itself by providing a build system that integrates with LLVM to compile C-like code into BPF bytecode at runtime. It utilizes BPF Type Format data for relocations to maintain cross-kernel compatibility and extracts kernel headers to ensure the generated programs match the specific kernel version. The toolkit co

bpftrace is a dynamic instrumentation tool and high-level tracing language for eBPF. It functions as a Linux kernel tracer and user-space profiler used to analyze live software behavior through the on-the-fly insertion of tracing and logging probes. The tool enables the collection of real-time data from the Linux kernel and applications to diagnose issues on live production systems. It intercepts user-level events using uprobes and USDT to debug and profile applications without modifying the original source code. The project covers system observability and performance analysis by monitoring

Framework to evaluate peformance of ROS 2

Hotspot is a graphical user interface for analyzing and visualizing performance data captured by the Linux perf tool. It functions as a performance profiling visualizer and assembly-level profiler that maps performance costs to specific instructions synchronized with original source code. The project distinguishes itself through a remote symbol resolver that maps performance data from embedded targets to local host debug symbols and sysroots. It also includes a specialized off-CPU analysis tool designed to identify thread wait times and I/O blocks using kernel scheduler tracepoints. The tool

Heaptrack is a heap memory profiler and diagnostic tool for applications running on Linux. It functions as a memory leak detector and performance analysis system that records heap allocations and stack traces to identify memory hotspots and consumption patterns. The project provides a graphical heap allocation visualizer for exploring memory usage through tree views and peak memory reports. It utilizes flame graphs and allocation charts to visualize memory hotspots and assist in the detection of leaks. The toolset includes capabilities for heap memory allocation tracing and the generation of

GPU Trace Visualizer

This project is an orchestration tool for establishing interactive debug sessions within automation pipelines. It functions as a GitHub Action that opens an interactive SSH or web-based shell session, providing a remote access utility for real-time system interaction and troubleshooting during continuous integration execution. The tool supports conditional debugging workflows, allowing interactive shells to be triggered only upon manual request or the failure of previous automation steps. It also enables detached debugging modes to start background sessions that provide connection details wit

########################## The Python Benchmark Suite ##########################

☕ GDBFrontend is an easy, flexible and extensible gui debugger.

Tracy is a real-time performance profiling framework for C and C++ applications. It provides a software instrumentation library that captures high-resolution telemetry data, which is then visualized through a separate graphical interface to identify bottlenecks and resource allocation issues. The system utilizes a client-server architecture that enables remote profiling, allowing performance data to be captured on a target machine and analyzed on a workstation. It employs lock-free event logging and shared-memory ring buffers to minimize the overhead of data collection, ensuring that the main