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Python VS PyLint

Compare Python VS PyLint and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Python logo Python

Python is a clear and powerful object-oriented programming language, comparable to Perl, Ruby, Scheme, or Java.

PyLint logo PyLint

Pylint is a Python source code analyzer which looks for programming errors.
  • Python Landing page
    Landing page //
    2021-10-17

Find popular and trending Python projects on LibHunt

  • PyLint Landing page
    Landing page //
    2023-09-22

Python features and specs

  • Easy to Learn
    Python syntax is clear and readable, which makes it an excellent choice for beginners and allows for quick learning and prototyping.
  • Versatile
    Python can be used for web development, data analytics, artificial intelligence, machine learning, automation, and more, making it a highly versatile programming language.
  • Large Standard Library
    Python comes with a comprehensive standard library that includes modules and packages for various tasks, reducing the need to write code from scratch.
  • Strong Community Support
    Python has a large and active community, which means a wealth of third-party packages, tutorials, and documentation is available for assistance.
  • Cross-Platform Compatibility
    Python is compatible with major operating systems like Windows, macOS, and Linux, allowing for easy development and deployment across different platforms.
  • Good for Rapid Development
    The high-level nature of Python allows for quick development cycles and fast iteration, which is ideal for startups and prototyping.

Possible disadvantages of Python

  • Performance Limitations
    Python is generally slower than compiled languages like C or Java because it is an interpreted language, which can be a drawback for performance-critical applications.
  • Global Interpreter Lock (GIL)
    The GIL in CPython, the most used Python interpreter, prevents multiple native threads from executing Python bytecodes at once, limiting multi-threading capabilities.
  • Memory Consumption
    Python can be more memory-intensive compared to some other languages, which might be a concern for applications with tight memory constraints.
  • Mobile Development
    Python is not a primary choice for mobile app development, where languages like Java, Swift, or Kotlin are more commonly used.
  • Runtime Errors
    Being a dynamically typed language, Python code can sometimes lead to runtime errors that would be caught at compile-time in statically typed languages.
  • Dependency Management
    Managing dependencies in Python projects can sometimes be complex and cumbersome, especially when dealing with conflicting versions of libraries.

PyLint features and specs

  • Extensive Error Checking
    PyLint provides comprehensive checks for errors in Python code, including syntax errors, structural problems, and more complex issues like unused variables and undefined names.
  • Customizability
    PyLint allows users to configure which types of errors and warnings they want to check for through configuration files, making it adaptable to different coding standards and preferences.
  • Integration with Development Tools
    PyLint can be integrated with various IDEs and editors such as Visual Studio Code, PyCharm, and more, enhancing the development workflow by providing real-time feedback.
  • Code Quality Metrics
    It offers additional metrics and ratings for code quality, helping developers understand the complexity and maintainability of their code.
  • Code Refactoring Support
    PyLint suggests specific code improvements and refactorings, which can enhance the readability and performance of the code.

Possible disadvantages of PyLint

  • Performance Overhead
    Analyzing large codebases can be slow with PyLint, impacting performance and increasing the time taken for continuous integration pipelines to run.
  • False Positives
    PyLint can generate false positive warnings, particularly in complex or dynamically-typed code, which might lead to developers spending time investigating non-issues.
  • Steep Learning Curve
    The initial setup and configuration of PyLint can be challenging for new users who are not familiar with its extensive customization options.
  • Strictness
    PyLint is very strict by default, which might overwhelm developers, especially those working in less formal or rapid development environments, with a high volume of warnings and errors.
  • Compatibility Issues
    There might be compatibility issues with certain Python versions or specific coding patterns, leading to inaccurate linting results or the need for frequent adjustments to configurations.

Python videos

+ Add

Creator of Python Programming Language, Guido van Rossum | Oxford Union

PyLint videos

+ Add

Pylint Tutorial – How to Write Clean Python

More videos:

  • Tutorial - How to write pylint plugins

Category Popularity

0-100% (relative to Python and PyLint)

Python

PyLint

Programming Language
100 100%
Programming Language
0% 0
Code Analysis
0 0%
Code Analysis
100% 100
OOP
100 100%
OOP
0% 0
Code Coverage
0 0%
Code Coverage
100% 100

User comments

Share your experience with using Python and PyLint. For example, how are they different and which one is better?
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Reviews

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

Python Reviews

Pine Script Alternatives: A Comprehensive Guide to Trading Indicator Languages
Technical analysis in trading has come a long way, with various programming languages emerging to support traders in developing custom indicators. While Pine Script has been a popular choice for many, alternatives like Indie, ThinkScript, NinjaScript, MetaQuotes Language (MQL), and even general-purpose languages like Python and C++ are gaining traction. Let’s explore these...
Source: medium.com
Top 5 Most Liked and Hated Programming Languages of 2022
No wonder Python is one of the easiest programming languages to work upon. This general-purpose programming language finds immense usage in the field of web development, machine learning applications, as well as cutting-edge technology in the software industry. The fact that Python is used by major tech giants such as Amazon, Facebook, Google, etc. is good enough proof as to...
Source: www.analyticsinsight.net
Top 10 Rust Alternatives
This programming langue is typed statically and operates on a complied system. It works based on several computing languages Python, Ada, and Modula.
Source: blog.back4app.com
15 data science tools to consider using in 2021
Python is the most widely used programming language for data science and machine learning and one of the most popular languages overall. The Python open source project's website describes it as "an interpreted, object-oriented, high-level programming language with dynamic semantics," as well as built-in data structures and dynamic typing and binding capabilities. The site...
Source: searchbusinessanalytics.techtarget.com
The 10 Best Programming Languages to Learn Today
Python's variety of applications make it a powerful and versatile language for different use cases. Python-based web development frameworks like Django and Flask are gaining popularity fast. It's also equipped with quality machine learning and data analysis tools like Scikit-learn and Pandas.
Source: ict.gov.ge

PyLint Reviews

7 best recommended IntelliJ IDEA Python plugins - Programmer Sought
As the name suggests, this plugin is a Python linter. It provides real-time and on-demand scanning of Python files with Pylint ideas from your Intellij. Pylint is an open source project, so it can be fully customized according to your needs. In addition, Pylint has a lot of documentation on the plugin website.
Source: www.programmersought.com

Social recommendations and mentions

Based on our record, Python seems to be a lot more popular than PyLint. While we know about 288 links to Python, we've tracked only 13 mentions of PyLint. 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.

Python mentions (288)

  • A Beginner's Guide to Auto-Instrumenting a Flask App with OpenTelemetry and SigNoz
    If Python is not installed, download it from python.org or use your system's package manager (e.g., sudo apt install python3 on Ubuntu). - Source: dev.to / about 1 month ago
  • Scraping Infinite Scroll Pages with a 'Load More' Button: A Step-by-Step Guide
    Python Installed: Download and install the latest Python version from python.org, including pip during setup. - Source: dev.to / 4 months ago
  • Get Started with Python
    First, you'll need to install Python if you don't have it already. Go to the official Python website python.org, download the latest version, and follow the instructions. - Source: dev.to / 5 months ago
  • Unlocking DuckDB from Anywhere - A Guide to Remote Access with Apache Arrow and Flight RPC (gRPC)
    Python: We’ll use Python for it’s simplicity and accessibility. - Source: dev.to / 5 months ago
  • Python Packaging is Great Now: `uv` is all you need
    Bootstrapping was an often neglected problem. Should we tell people to install Python from https://python.org? The Anaconda distribution? How do we stop folks from using their system package manager and risk breaking everything? - Source: dev.to / 9 months ago
View more

PyLint mentions (13)

  • Nix-Powered Python Development
    These requirements are not too uncommon. I have seen many projects with similar setup, with alternatives such as tox instead of nox, or black and pylint instead of ruff, etc. - Source: dev.to / 8 days ago
  • Nix Flake Templates
    Use pylint and flake8 for linting and static analysis. - Source: dev.to / 10 days ago
  • The Cloud Resume Challenge - GCP :)
    I used Pylint to perform basic test on the code and for the security bit I used snyk SCM to check for vulnerabilities within my code and it's dependencies. - Source: dev.to / over 2 years ago
  • I'm being told that one of my projects on GitHub is poorly coded. Can anyone tell me why? The only thing I see ugly, not necessary wrong or poorly coded, is the two variables with the list of iPhone models, and the incredibly long if, elif, and else statements.
    Pylint - https://pylint.pycqa.org/en/latest/ Black - https://black.readthedocs.io/en/stable/. Source: over 2 years ago
  • API pull into pandas with formatting.
    Your code isn't PEP-8 compliant. Use black or autopep8 on your code to auto-format your code, or at least use pylint to check for issues, before asking anyone else to read your code. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Python and PyLint, you can also consider the following products

JavaScript - Lightweight, interpreted, object-oriented language with first-class functions

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.

Java - A concurrent, class-based, object-oriented, language specifically designed to have as few implementation dependencies as possible

PyCharm - Python & Django IDE with intelligent code completion, on-the-fly error checking, quick-fixes, and much more...

Rust - A safe, concurrent, practical language

Coverity Scan - Find and fix defects in your Java, C/C++ or C# open source project for free

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