A cross-language project that detects memory usage patterns in Java applications and visualizes them in real-time using Python and matplotlib.
This project:
- Collects JVM memory usage using Java.
- Detects potential memory leaks.
- Logs usage data in real-time to a file (
memory.log). - Uses Python to read this log and plot live graphs of memory usage.
- Java: Memory monitoring, leak detection logic.
- Swing GUI: For viewing Java logs in a simple GUI.
- Python 3.x: For live plotting.
- Matplotlib: Graphing tool for memory usage.
- ScheduledExecutorService: Periodic Java task scheduler.
MemoryLeakdetector/ ├── Main.java # Java GUI + Scheduler ├── Memorychecker.java # Fetches memory data + detects leak ├── MemoryAnanlyzer.java # Provides memory snapshot (used in checker) ├── memory_plot.py # Python script to visualize memory usage ├── memory.log # Appended log of memory usage (created automatically) └── README.md # This file
- JDK 8 or higher
- Python 3.6+
- Python packages:
A graph is displayed where if the graph spikes up it indicates a leak else it indicates that the memory has no leak
-
Run Main.java to launch the memory logger and GUI:
javac Main.java Memorychecker.java MemoryAnanlyzer.java && java Main -
In a separate terminal, run the Python plot script:
python memory_plot.py
View logs in the GUI and live memory usage graph from memory.log.
