Software Alternatives, Accelerators & Startups

Understand VS PyFlakes

Compare Understand VS PyFlakes and see what are their differences

Understand logo Understand

Combines a powerful Code Editor together with an impressive array of static analysis tools that will change the way you work with code.

PyFlakes logo PyFlakes

A simple program which checks Python source files for errors.
  • Understand Landing page
    Landing page //
    2023-07-29
  • PyFlakes Landing page
    Landing page //
    2023-10-11

Understand

$ Details
paid Free Trial
Platforms
Windows MacOS Linux

PyFlakes

Pricing URL
-
$ Details
-
Platforms
-

Understand features and specs

  • Static Code Analysis
  • Metrics
  • Graphs
  • Code Navigation
  • Dependency Analysis
  • Architectures
  • Compliance Validation
  • API Support
  • Code Editing

PyFlakes features and specs

  • Fast Execution
    PyFlakes is designed to perform analysis quickly, as it only checks for logical errors and does not compile or execute the code.
  • Dependency-Free
    PyFlakes does not have any dependencies outside of the Python Standard Library, making it lightweight and easy to integrate into various environments.
  • Real-time Feedback
    It provides immediate feedback on code issues, helping developers catch potential problems early in the development process.
  • Simple Installation
    With minimal dependencies and a straightforward setup process, PyFlakes is easy to install and use.

Possible disadvantages of PyFlakes

  • Limited Error Detection
    PyFlakes focuses only on logical errors, such as syntax errors and undefined names, and does not offer the comprehensive analysis provided by other linters that check for style and other coding standard violations.
  • No Code Formatting
    PyFlakes does not include any code formatting checks, meaning it does not enforce coding conventions related to code style or layout.
  • Lack of Configurability
    Compared to more feature-rich tools, PyFlakes offers limited options for configuration, making it less flexible for teams with specific linting requirements.
  • No Automatic Fixes
    Unlike some linters that can automatically fix certain types of issues, PyFlakes only identifies problems but does not provide auto-fixes.

Understand videos

Getting Started with Understand

More videos:

  • Demo - What is Understand

PyFlakes videos

replay - pyflakes string format linting - 2019-04-03

Category Popularity

0-100% (relative to Understand and PyFlakes)
Code Coverage
73 73%
27% 27
Code Quality
71 71%
29% 29
Code Analysis
100 100%
0% 0
Python
0 0%
100% 100

Questions & Answers

As answered by people managing Understand and PyFlakes.

Which are the primary technologies used for building your product?

Understand's answer

-C/C++ -Qt -Understand

Who are some of the biggest customers of your product?

Understand's answer

-NASA -U.S. Airforce -General Electric -Nvidia -Raytheon -Amazon -Lockheed Martin -Samsung -Raytheon -Pratt & Whitney -Dell -Intuity -Aurora Flight Sciences

What makes your product unique?

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-XREFโ„ข technology we invented that provides a detailed cross-referencing of all the interconnections in your code.

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Understand and PyFlakes

Understand Reviews

TOP 40 Static Code Analysis Tools (Best Source Code Analysis Tools)
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 automakers industry. Supports major languages like C/C++, ADA, COBOL, FORTRAN, PASCAL, Python and other web languages.

PyFlakes Reviews

We have no reviews of PyFlakes yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Understand seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Understand mentions (2)

  • What Killed Perl?
    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 is that it is programmable with a Perl API. I used this feature at a defense consulting job to help target audits of huge, multi-million LOC codebases. Perl's expressivity was very... - Source: Hacker News / 9 months ago
  • Discontinue Sourcetrail
    Https://lattix.com/ can produce impact reports showing โ€œchanging X affects A, B and Y on the first level which in turn affects C, D, E, F and Z on the second levelโ€ and so onโ€ฆ https://scitools.com/ Understand can answer similar questions and tries to perform flow analysis โ€œthroughโ€ function pointers as well. - Source: Hacker News / almost 5 years ago

PyFlakes mentions (0)

We have not tracked any mentions of PyFlakes yet. Tracking of PyFlakes recommendations started around Mar 2021.

What are some alternatives?

When comparing Understand and PyFlakes, you can also consider the following products

SonarQube - SonarQube, a core component of the Sonar solution, is an open source, self-managed tool that systematically helps developers and organizations deliver Clean Code.

PyLint - Pylint is a Python source code analyzer which looks for programming errors.

Source Insight - 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.

flake8 - A wrapper around Python tools to check the style and quality of Python code.

CppDepend - Master Your C and C++ Codebase with Precision and Insight

mypy - Mypy is an experimental optional static type checker for Python that aims to combine the benefits of dynamic (or "duck") typing and static typing.