DeepSource Analyzer vs Pylint

Overview

Pylint

Stacks873

Followers97

Votes17

DeepSource

Stacks16

Followers49

Votes8

DeepSource Analyzer vs Pylint: What are the differences?

Static Analysis Technique: DeepSource Analyzer uses advanced static analysis techniques to identify issues in code, including code smells, security vulnerabilities, and performance bottlenecks. Pylint, on the other hand, focuses primarily on enforcing coding standards defined by PEP 8 and detecting potential bugs through static analysis.
Cloud-based Platform: DeepSource Analyzer is a cloud-based platform that integrates seamlessly with popular code hosting platforms such as GitHub, GitLab, and Bitbucket, providing continuous analysis and recommendations. Pylint, on the other hand, is a standalone tool that needs to be manually integrated into the development workflow.
Language Support: DeepSource Analyzer supports a wide range of programming languages, including Python, JavaScript, Go, and Java, making it versatile for multi-language projects. Pylint, on the other hand, is primarily focused on Python code analysis and may not offer the same level of support for other languages.
Issue Prioritization: DeepSource Analyzer provides intelligent issue prioritization based on the severity of the problem, impact on code quality, and relevance to the project, helping developers focus on critical issues first. Pylint, on the other hand, may require manual intervention to prioritize and address detected issues.
Integration with CI/CD Pipelines: DeepSource Analyzer can be easily integrated into CI/CD pipelines to automate the code analysis process, providing real-time feedback to developers during the development and deployment stages. Pylint, on the other hand, may require additional configuration and setup to be integrated into CI/CD workflows.
Custom Rules: DeepSource Analyzer allows users to define custom rules and configurations to tailor the analysis process according to project-specific requirements, enabling more precise identification of issues and adherence to coding standards. Pylint, on the other hand, has predefined rules that may not be as customizable for specific project needs.

In Summary, DeepSource Analyzer offers advanced static analysis techniques, cloud-based platform integration, multi-language support, intelligent prioritization, CI/CD pipeline integration, and customizable rules compared to Pylint.

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CLI (Node.js)

Manual

Detailed Comparison

Pylint	DeepSource
It is a Python static code analysis tool which looks for programming errors, helps enforcing a coding standard, sniffs for code smells and offers simple refactoring suggestions.	DeepSource helps developers ship clean and secure code with powerful static analysis, OWASP Top 10 reporting, and Autofix. Trusted by thousands of startups, enterprises, and Fortune 500 companies.
Syntax Check;Style Check;Warnings	Simple configuration; Continuous analysis; Fewer false-positives; Integration with existing tools; Know each issue in detail; Broad-spectrum of issue coverage.
Statistics
Stacks 873	Stacks 16
Followers 97	Followers 49
Votes 17	Votes 8
Pros & Cons
Pros 3 Command Line 2 Standards 2 Pre-commit checks 2 FOSS 2 IDE Integration	Pros 3 Easy setup and analysis 3 Free for open source 2 Autofixes for many lints for free Cons 1 Test coverage % differs from actual
Integrations
FreeBSD Debian Vim Windows Mac OS X TextMate Visual Studio Komodo IDE Eclipse Visual Studio Code	Ruby Java C# Terraform Docker Scala GitHub JavaScript GitLab Bitbucket

What are some alternatives to Pylint, DeepSource?

Code Climate

After each Git push, Code Climate analyzes your code for complexity, duplication, and common smells to determine changes in quality and surface technical debt hotspots.

Codacy

Codacy automates code reviews and monitors code quality on every commit and pull request on more than 40 programming languages reporting back the impact of every commit or PR, issues concerning code style, best practices and security.

Phabricator

Phabricator is a collection of open source web applications that help software companies build better software.

PullReview

PullReview helps Ruby and Rails developers to develop new features cleanly, on-time, and with confidence by automatically reviewing their code.

Gerrit Code Review

Gerrit is a self-hosted pre-commit code review tool. It serves as a Git hosting server with option to comment incoming changes. It is highly configurable and extensible with default guarding policies, webhooks, project access control and more.

SonarQube

SonarQube provides an overview of the overall health of your source code and even more importantly, it highlights issues found on new code. With a Quality Gate set on your project, you will simply fix the Leak and start mechanically improving.

RuboCop

RuboCop is a Ruby static code analyzer. Out of the box it will enforce many of the guidelines outlined in the community Ruby Style Guide.

CodeFactor.io

CodeFactor.io automatically and continuously tracks code quality with every GitHub or BitBucket commit and pull request, helping software developers save time in code reviews and efficiently tackle technical debt.

ESLint

A pluggable and configurable linter tool for identifying and reporting on patterns in JavaScript. Maintain your code quality with ease.

Amazon CodeGuru

It is a machine learning service for automated code reviews and application performance recommendations. It helps you find the most expensive lines of code that hurt application performance and keep you up all night troubleshooting, then gives you specific recommendations to fix or improve your code.

Related Comparisons

DeepSource Analyzer vs Pylint: What are the differences?

Static Analysis Technique: DeepSource Analyzer uses advanced static analysis techniques to identify issues in code, including code smells, security vulnerabilities, and performance bottlenecks. Pylint, on the other hand, focuses primarily on enforcing coding standards defined by PEP 8 and detecting potential bugs through static analysis.
Cloud-based Platform: DeepSource Analyzer is a cloud-based platform that integrates seamlessly with popular code hosting platforms such as GitHub, GitLab, and Bitbucket, providing continuous analysis and recommendations. Pylint, on the other hand, is a standalone tool that needs to be manually integrated into the development workflow.
Language Support: DeepSource Analyzer supports a wide range of programming languages, including Python, JavaScript, Go, and Java, making it versatile for multi-language projects. Pylint, on the other hand, is primarily focused on Python code analysis and may not offer the same level of support for other languages.
Issue Prioritization: DeepSource Analyzer provides intelligent issue prioritization based on the severity of the problem, impact on code quality, and relevance to the project, helping developers focus on critical issues first. Pylint, on the other hand, may require manual intervention to prioritize and address detected issues.
Integration with CI/CD Pipelines: DeepSource Analyzer can be easily integrated into CI/CD pipelines to automate the code analysis process, providing real-time feedback to developers during the development and deployment stages. Pylint, on the other hand, may require additional configuration and setup to be integrated into CI/CD workflows.
Custom Rules: DeepSource Analyzer allows users to define custom rules and configurations to tailor the analysis process according to project-specific requirements, enabling more precise identification of issues and adherence to coding standards. Pylint, on the other hand, has predefined rules that may not be as customizable for specific project needs.

DeepSource Analyzer vs Pylint

Overview