The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning. Learn more →
Memory_profiler Alternatives
Similar projects and alternatives to memory_profiler
-
WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
-
prometeo
An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing
-
InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
-
viztracer
VizTracer is a low-overhead logging/debugging/profiling tool that can trace and visualize your python code execution.
-
SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
memory_profiler reviews and mentions
- Ask HN: C/C++ developer wanting to learn efficient Python
-
8 Most Popular Python HTML Web Scraping Packages with Benchmarks
memory_profiler
-
Check Python Memory Usage
pythonprofilers/memory_profiler: Monitor Memory usage of Python code
-
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
-
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
-
A note from our sponsor - WorkOS
workos.com | 24 Apr 2024
Stats
pythonprofilers/memory_profiler is an open source project licensed under BSD 3-clause "New" or "Revised" License which is an OSI approved license.
The primary programming language of memory_profiler is Python.
Popular Comparisons
- memory_profiler VS py-spy
- memory_profiler VS line_profiler
- memory_profiler VS profiling
- memory_profiler VS pyflame
- memory_profiler VS Laboratory
- memory_profiler VS filprofiler
- memory_profiler VS python-uncompyle6
- memory_profiler VS psutil
- memory_profiler VS Sampling Profiler for Python
- memory_profiler VS icecream
Sponsored