Memtime

Memtime

Memtime is an open-source memory profiler for Python that analyzes memory usage to help identify memory leaks and optimization opportunities. It tracks Python objects created in code to provide insights into memory consumption over time.
Memtime screenshot

Memtime: An Open-Source Memory Profiler for Python

Memtime is an open-source memory profiler for Python that analyzes memory usage to help identify memory leaks and optimization opportunities. It tracks Python objects created in code to provide insights into memory consumption over time.

What is Memtime?

Memtime is an open-source memory profiler for Python applications and services. It provides detailed analysis of memory usage over time to help developers identify and fix memory leaks or other inefficient memory utilization issues.

Memtime tracks all Python objects created during code execution, including reference counts and memory size. It generates timeline graphs and summary reports highlighting memory growth issues and the associated Python code. Developers can use these insights to optimize memory usage, reduce application footprint, and prevent unstable memory growth.

As an open-source tool, Memtime enables Python developers to profile memory easily without expensive commercial tools. It works for all Python implementations like CPython, PyPy, and IronPython. Memtime provides both command-line and programmatic interfaces for integration into developer workflows.

Key capabilities include:

  • Identifying memory leaks due to accumulating Python objects
  • Understanding growth trends for different object types over time
  • Pinpointing source code responsible for excessive object allocations
  • Comparing memory usage before and after code changes
  • Optimizing memory by reducing unnecessary object creation

By providing Python developers deeper visibility into memory utilization, Memtime enables building more stable and efficient Python applications and services.

Memtime Features

Features

  1. Memory profiling
  2. Object tracking
  3. Memory leak detection
  4. Optimization recommendations
  5. Detailed memory usage analysis

Pricing

  • Open Source

Pros

Open-source and free to use

Provides in-depth insights into memory usage

Helps identify and fix memory leaks

Supports Python applications

Cons

Limited to Python applications

May have some performance impact on the profiled application

Requires some technical expertise to interpret the results

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