GitHub - dbohdanmemsparkline: Track the RAM usage of a process and its descendants in real time

GitHub memsparkline: A Tool for Real-Time Process Memory Usage Tracking

memsparkline is a lightweight, open-source tool designed to track the RAM usage of a process and its descendants in real-time, providing an intuitive graphical representation using sparklines. Developed by dbohdan, this tool utilizes gopsutil and Task (go-task) for compatibility across various POSIX systems.

Key Features:

1. Real-Time Memory Usage Tracking: memsparkline continuously monitors the RAM usage of a process and its descendants, providing real-time updates.
2. Sparklines: The tool displays memory usage using sparklines, making it easy to visualize changes in memory allocation over time.
3. Output Options: Users can customize output by specifying an output file (‘-’ for standard error), setting the length of the sparkline, and choosing a format string for memory amounts.

Usage:

1. Install memsparkline on your system using your package manager or source code.
2. Run the tool with the desired command and arguments, such as ./memsparkline <command>.
3. Customize output by specifying options like --dump, --length, --mem-format, --newlines, --output, --quiet, --record, --sample, --time-format, and --wait.

Benefits:

1. Memory Management: memsparkline helps developers monitor memory usage, enabling them to identify potential memory leaks or allocate excessive resources.
2. Performance Optimization: By tracking memory usage in real-time, users can optimize their applications for better performance and resource utilization.
3. Debugging: The tool's sparklines provide a visual representation of memory changes, making it easier to debug memory-related issues.

License:

memsparkline is released under the MIT License, allowing free use and distribution of the software.

Related Projects:

1. memusg: A Bash script for FreeBSD, Linux, and macOS that measures the peak resident set size of a process.
2. spark: A Bash script that generates a Unicode text sparkline from a list of numbers.

By leveraging memsparkline's real-time memory tracking capabilities and customizable output options, developers can gain valuable insights into their applications' performance and resource utilization, ultimately leading to more efficient and scalable software development.