
npm
Python Poetry
pip
Conda
Conan
NixOS
Yarn
A repository of software for the Python programming language

SonarQube
Source Insight
CppDepend
Phabricator
Codacy
Coverity Scan
CodeCompass
Combines a powerful Code Editor together with an impressive array of static analysis tools that will change the way you work with code.

Which is more popular?
Based on our record, Python Package Index seems to be a lot more popular than Understand. While we know about 104 links to Python Package Index, we've tracked only 2 mentions of Understand.
Website, pricing, platforms and company facts side by side.
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| Website | pypi.org | scitools.com |
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| Platforms | — | |
| Listed in |
What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of Understand yet.
Walkthroughs and reviews on video.
Python Django - Create and deploy packages to PyPI - Python Package Index
More videos
Getting Started with Understand
More videos
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Python Package Index and Understand.
Understand's answer:
-C/C++ -Qt -Understand
Understand's answer:
-NASA -U.S. Airforce -General Electric -Nvidia -Raytheon -Amazon -Lockheed Martin -Samsung -Raytheon -Pratt & Whitney -Dell -Intuity -Aurora Flight Sciences
Understand's answer:
Understand has shares many features found in other products but all wrapped into one easy to use package. Our most defining feature is the Hyper-XREF™ technology we invented that provides a detailed cross-referencing of all the interconnections in your code.
Share your experience with using Python Package Index and Understand. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of Python Package Index yet. Be the first one to post
Just like its name, this tool lets user UNDERSTAND code by analyzing, measuring, visualizing and maintaining. This allows quick analysis of massive codes. This is one tool that is mainly used by the aerospace and...
Recommendations tracked on public social media and blogs since March 2021.


Filter egress. A web server needs to reach its update mirror and its DNS resolvers. It does not need to reach the whole internet. Prove it with curl -m 5 https://pypi.org from the server — it should fail. - Source: dev.to / 5 days ago
Using CPython 3.13.12 interpreter at: /opt/homebrew/opt/python@3.13/bin/python3.13 Resolved 24 packages in 13ms × Failed to build `munshi @ │ file://~/github/prateek11rai/munshi` ╰─▶ Expected a Python module at:... - Source: dev.to / 8 days ago
# from inside the sandbox: allowed host as SNI, different Host header Curl -sv https://pypi.org/ -H "Host: some-other-tenant.example" -o /dev/null. - Source: dev.to / 15 days ago
I have great love for Perl, but I'm not super eager to go back to using it. I used it in probably one of the more cursed contexts I've ever heard of. Understand[0] is a static analyzer for many languages, and one of its killer features... - Source: Hacker News / 12 months ago
Https://lattix.com/ can produce impact reports showing “changing X affects A, B and Y on the first level which in turn affects C, D, E, F and Z on the second level” and so on… https://scitools.com/ Understand can answer similar questions... - Source: Hacker News / about 5 years ago
When comparing Python Package Index and Understand, you can also consider the following products.


SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.
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Python packaging and dependency manager.
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Source Insight is a programming editor & code browser with built-in live analysis for C/C++, C#, Java, and more; helping you understand large projects.
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The PyPA recommended tool for installing Python packages.
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Master Your C and C++ Codebase with Precision and Insight
Compare CppDepend to Python Package Index or Understand: