pydeps VS pyan

Compare pydeps vs pyan and see what are their differences.

pyan

Static call graph generator. The official Python 3 version. Development repo. (by Technologicat)
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pydeps pyan
7 4
1,611 311
- -
7.4 3.7
9 days ago 3 months ago
Python Python
BSD 2-clause "Simplified" License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

pydeps

Posts with mentions or reviews of pydeps. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-19.

pyan

Posts with mentions or reviews of pyan. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-02-24.

What are some alternatives?

When comparing pydeps and pyan you can also consider the following projects:

pycallgraph

SmoothStream - Webcam, PiCamera streaming over the network with Python made easy.

code2flow - Pretty good call graphs for dynamic languages

pyinstrument - 🚴 Call stack profiler for Python. Shows you why your code is slow!

vprof - Visual profiler for Python

mcpyrate - Advanced macro expander and language lab for Python.

pysonar2 - PySonar2: a semantic indexer for Python with interprocedual type inference

hunter - Hunter is a flexible code tracing toolkit.

coala - coala provides a unified command-line interface for linting and fixing all your code, regardless of the programming languages you use.

snoop - A powerful set of Python debugging tools, based on PySnooper

snakefood - Python Dependency Graphs

heartrate - Simple real time visualisation of the execution of a Python program.