With the rise of modern software development practices, the prominence of static analysis has grown. Static code analysis allows developers to improve the codebase’s readability and consistency while finding possible bugs and anti-patterns. Static analysis tools help us to validate the modern development standards and assess the quality of the same.
A majority of the software development teams, across the world, have been using static code analysis tools. Static code analysis identifies bad and redundant code and fixes it before it lands in production. With automated static analysis, we don’t need to rely on dynamic analysis, where the code gets executed on a processor to identify bugs.
Bugs and duplicated code is retrieved and fixed, with code insights generated at every stage of development. It allows the developers to keep track of the blockers they might face in the code and possibly fix them, thus eliminating a pain point.
Some key features of DeepSource include:
- Single file configuration.
- Highlight important metrics like documentation coverage and dependency.
- Auto-fix for common issues.
- Code metrics tracking and reporting.
- Analysis of every pull request and commit.
- Integrated dashboard with issue descriptions.
Some key features of DeepScan includes:
- Integrated dashboard for issue tracking.
- Real-Time collaboration with team activity.
- Active analysis over the codebase.
- Usage of control flow graph for code execution.
- Grade calculation through issue density tracking.
DeepScan is an active choice for developers and enterprise Teams for managing their code quality. Their static analysis goes beyond ESLint, providing more coverage and issue tracking, making it a definite choice to identify tricky issues.
LGTM states its mission “to promote community-driven security analysis” and has made it possible through automated issue and vulnerability checking. LGTM banks upon CodeQL to drive its issue tracking and finding common bugs that occur across the codebase. LGTM supports an integrated dashboard for real-time analysis, along with issue personalization, to help teams focus on issues that matter to them.
Some key features of LGTM are:
- Provides SemmleQL to write our Code Analysis Queries.
- Commits are checked every day.
- Provides a REST API to integrate with the workflow.
- Provides real-time project alerts and suppression.
- Analyzed over original repositories, not forks.
LGTM banks upon intelligent detection, which is made possible by analyzing different codebases. Thus it highlights an alert if we introduce a new bug or vulnerability. With granular access to a user dashboard, LGTM is a definite go for maintainers looking for a specific holdover code analysis.
SonarCloud can be integrated with CI Pipelines like GitHub Actions and Azure DevOps, to ensure that bad code never lands in production.
Some key features of SonarCloud are:
- Access to the project dashboard and the project metrics.
Go/NoGo quality Gate while analyzing code.
- Continuous inspection over all major Git providers.
- IDE extension named SonarLint available for better use.
- Supported by TravisCI, GitLabCI, CircleCI, and more.
The tool keeps track of code maintainability, reliability, coverage, and more while aiming to accelerate the reviews from maintainers. With security hotspots as an additional feature, it can provide broader coverage to help developers understand the issues and leaks.
With Codacy, you can add specific repositories you have access to or have forked, and Codacy starts analyzing your code for bugs and style Issues.
Some key features of Codacy include:
- Automated code reviews and issue tracking.
- Integration with various Git providers.
- Provides code standardization and user management.
- Supported in various workflows and CI integrations.
- Provides self-hosted services as well.
Codacy will re-analyze your source code with every push, which eases code reviews and analysis. With a supporting community, Codacy is gaining large traction among developers for code Reviews and analysis.
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