About analyzers

A DeepSource analyzer inspects and analyzes source code in a repository to raise issues and track metrics. Analyzers look for issues such as anti-patterns, bug risks, or code that may reduce performance. They also create and track metrics such as dependency count, documentation coverage, etc. Analyzers operate at the file level (an anti-pattern found in a file at a specific location for example), as well as on repository level issues (4 dependencies which were used but not declared for example).

In addition to detecting issues, DeepSource analyzers can now suggest fixes for the commonly occurring issues and, if you allow them to, create pull requests with the fixes. Look for the 'Autofix' button in the dashboard when viewing supported issues. We're steadily increasing the coverage of issues on all the language analyzers that we support.

The following table lists all supported analyzers.

Analyzer	Release	Shortcode	Autofix support
Docker	GA	docker	NA
Go	GA	go	Available
JavaScript	Beta	javascript	Available
SQL	Beta	sql	NA
Python	GA	python	Available
Ruby	GA	ruby	Available
Terraform	Beta	terraform	NA
Test Coverage	GA	test-coverage	NA
Shell	Beta	shell	NA
Java	Beta	java	NA
Secrets	Beta	secrets	NA

Available release channels: Beta and GA (Generally Available).