memory_profiler
psutil
| memory_profiler | psutil | |
|---|---|---|
| 6 | 7 | |
| 4,222 | 9,936 | |
| 0.6% | - | |
| 3.7 | 8.8 | |
| 7 days ago | 6 days ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
memory_profiler
- Ask HN: C/C++ developer wanting to learn efficient Python
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8 Most Popular Python HTML Web Scraping Packages with Benchmarks
memory_profiler
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Check Python Memory Usage
pythonprofilers/memory_profiler: Monitor Memory usage of Python code
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Profiling and Analyzing Performance of Python Programs
# https://github.com/pythonprofilers/memory_profiler pip install memory_profiler psutil # psutil is needed for better memory_profiler performance python -m memory_profiler some-code.py Filename: some-code.py Line # Mem usage Increment Occurrences Line Contents ============================================================ 15 39.113 MiB 39.113 MiB 1 @profile 16 def memory_intensive(): 17 46.539 MiB 7.426 MiB 1 small_list = [None] * 1000000 18 122.852 MiB 76.312 MiB 1 big_list = [None] * 10000000 19 46.766 MiB -76.086 MiB 1 del big_list 20 46.766 MiB 0.000 MiB 1 return small_list
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Profiling Python code with memory_profiler
What do you do when your Python program is using too much memory? How do you find the spots in your code with memory allocation, especially in large chunks? It turns out that there is not usually an easy answer to these question, but a number of tools exist that can help you figure out where your code is allocating memory. In this article, I’m going to focus on one of them, memory_profiler.
- What Is Your Favorite Profilerperformance Tool
psutil
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Single Window Mode when Firefox is already launched with -profile "my_profile" parameter
fyi: python + https://github.com/giampaolo/psutil is pretty portable
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Why new Macs break your Docker build, and how to fix it
FYI, you probably already know this, but just in case: https://github.com/giampaolo/psutil/pull/2070
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Steam like timer
Check out https://github.com/giampaolo/psutil
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tiptop, a command-line system monitor
No, not yet, though I'd love to have that in, too. The problem here is fetching the corresponding data since there's no standard interface this yet. (At least none that I know of.) Follow this bug to get updated.
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Tracking CPU usage of computer's individual processes (real time update)
here is a good module to start with: https://github.com/giampaolo/psutil
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Help with a installing a program with wine [WinError 127]
This post thing (idk what it is called) was hard for me to understand, but it looked like they were saying that it may have been an issue with python and wine. They suggested using wine-develop (which i assume is "development" because "apt install wine-develop" cant find it, but it can find development). So I did:
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Profiling Python code with memory_profiler
It uses the psutil library (or can use tracemalloc or posix) to access process information in a cross platform way, so it works on Windows, Mac, and Linux.
What are some alternatives?
py-spy - Sampling profiler for Python programs
Ansible - Ansible is a radically simple IT automation platform that makes your applications and systems easier to deploy and maintain. Automate everything from code deployment to network configuration to cloud management, in a language that approaches plain English, using SSH, with no agents to install on remote systems. https://docs.ansible.com.
line_profiler
pexpect - A Python module for controlling interactive programs in a pseudo-terminal
profiling
Fabric - Simple, Pythonic remote execution and deployment.
pyflame
supervisor - Supervisor process control system for Unix (supervisord)
Laboratory - Achieving confident refactoring through experimentation with Python 2.7 & 3.3+
pyinfra - pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
filprofiler - A Python memory profiler for data processing and scientific computing applications
Docker Compose - Define and run multi-container applications with Docker