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PyLint VS pipenv

Compare PyLint VS pipenv and see what are their differences

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  3. » Reviews
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PyLint logo PyLint

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

pipenv logo pipenv

Python Development Workflow for Humans. Contribute to pypa/pipenv development by creating an account on GitHub.
  • PyLint Landing page
    Landing page //
    2023-09-22
  • pipenv Landing page
    Landing page //
    2023-08-26

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.

pipenv features and specs

  • Integrated Workflow
    Pipenv combines the functionalities of pip and virtualenv, providing a seamless environment for package installation and management, making the development workflow more efficient and organized.
  • Automatic Virtual Environment Management
    Automatically creates and manages a virtual environment for projects, ensuring that dependencies are maintained separately and do not interfere with the system Python or other projects.
  • Lock File Generation
    Generates a Pipfile.lock to ensure deterministic builds, making sure that installations are consistent across different environments or deployments.
  • User-Friendly Package Installation
    Simplifies package installation with a straightforward and intuitive interface. Pipenv handles both direct package specification and environment management in a unified manner.
  • Environment Consistency
    By using the Pipfile and Pipfile.lock, Pipenv ensures that all developers working on a project have a consistent set of dependencies, reducing 'it works on my machine' issues.
  • Dependency Resolution
    Pipenv uses an advanced dependency resolver, helping to avoid dependency conflicts that can occur with complex package requirements.

Possible disadvantages of pipenv

  • Performance Overhead
    The dependency resolution process can sometimes be slow, which might be noticeable in larger projects or when installing multiple packages at once.
  • Limited Flexibility
    Pipenv abstracts away some of pip and virtualenv’s flexibility, which might limit advanced configurations or setups required by more complex projects.
  • Complexity for Simple Projects
    May add unnecessary complexity for simple or small projects where virtualenv and pip would suffice without additional layers.
  • Slower Updates
    Pipenv may lag behind updates compared to pip and virtualenv due to its additional integration layer, meaning it might not always provide immediate support for the latest Python packaging developments.
  • Learning Curve
    Requires initial learning and adjustment for developers who are accustomed to using pip and virtualenv separately, potentially slowing down onboarding for new team members.

Analysis of PyLint

Overall verdict

  • PyLint is generally considered a good tool for Python developers, especially those who want to maintain high code quality. While some users may find it overly strict at times, its comprehensive analysis is beneficial for identifying both significant errors and minor code improvements. Its configurability allows users to tailor its checks according to their project's specific needs.

Why this product is good

  • PyLint is a widely used static code analysis tool for Python that helps ensure code quality and adherence to coding standards. It analyzes Python source code to look for programming errors, enforce a coding standard, and suggest code improvements. It provides detailed insights into potential issues and helps maintain consistency and readability in Python projects.

Recommended for

  • Python developers who care about code quality and adherence to PEP 8 standards.
  • Teams working on collaborative projects where maintaining a consistent coding style is important.
  • Projects that require thorough documentation and linting for all code artifacts.
  • Developers who want to catch errors and potential bugs early in the development process.

PyLint videos

+ Add

Pylint Tutorial – How to Write Clean Python

More videos:

  • Tutorial - How to write pylint plugins

pipenv videos

+ Add

Pipenv Crash Course

More videos:

  • Tutorial - How to use Pipenv to Manage Python Dependencies (Tutorial)
  • Review - venv, pyenv, pypi, pip, pipenv, pyWTF?

Category Popularity

0-100% (relative to PyLint and pipenv)

PyLint

pipenv

Code Analysis
100 100%
Code Analysis
0% 0
Front End Package Manager
0 0%
Front End Package Manager
100% 100
Code Coverage
100 100%
Code Coverage
0% 0
Package Manager
0 0%
Package Manager
100% 100

User comments

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Reviews

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

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

pipenv Reviews

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

Social recommendations and mentions

Based on our record, PyLint should be more popular than pipenv. It has been mentiond 13 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.

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 / about 1 month ago
  • Nix Flake Templates
    Use pylint and flake8 for linting and static analysis. - Source: dev.to / about 1 month 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 / almost 3 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: almost 3 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

pipenv mentions (6)

  • Generate pip requirements.txt file based on imports of any project
    https://github.com/pypa/pipenv Pipenv was last updated 10 hours ago. Looks like it's still an active project to me. - Source: Hacker News / 8 months ago
  • Adding Virtual Environments to Git Repo
    Pipenv solves this by having both kinds of requirement files: Pipfile lists package names and known constraints on which versions can be used, while Pipfile.lock gives specific package versions with hashes. Theoretically the Pipfile (and its lockfile) format were supposed to be a standard that many different tools could use, but I haven't seen it get adopted much outside of pipenv itself, so I'm not sure if it's... Source: about 2 years ago
  • Top 10 Python security best practices
    Alternatively, you can look into Pipenv, which has a lot more tools to develop secure applications with. - Source: dev.to / almost 3 years ago
  • Why and how to use conda?
    I’m partial to pipenv but it does depend on pyenv (which works on Windows albeit via WSL, no?). Source: about 3 years ago
  • How to make a Python package in 2021
    I think I went through the same progression — thinking pipenv was the official solution before deciding it isn’t. To add to the confusion, I just realized that pipenv [1] is currently owned by the Python Packaging Authority (PyPA) which also owns the official pip [2] and virtualenv [3]. [1]: https://github.com/pypa/pipenv [2]: https://github.com/pypa/pip [3]: https://github.com/pypa/virtualenv. - Source: Hacker News / about 4 years ago
View more

What are some alternatives?

When comparing PyLint and pipenv, 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.

Python Poetry - Python packaging and dependency manager.

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

Conda - Binary package manager with support for environments.

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

pip - The PyPA recommended tool for installing Python packages.

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