DeepSource vs gosec

DeepSource is an AI code review platform for teams writing code with AI. It reviews pull requests through static analysis and an AI review agent, looking for bugs, anti-patterns, and security vulnerabilities. The review process uses more than 5,000 deterministic rules, while Autofix can provide verified, pre-generated patches for many detected issues. Other checks include secrets detection, open-source dependency vulnerability scanning, and infrastructure-as-code review for Terraform and CloudFormation. Teams can track code coverage and set thresholds for tested code. Supported version-control systems include GitHub, GitLab, Bitbucket, and Azure DevOps; listed integrations also include Jira, Okta, OneLogin, Slack, and Vanta. The service is available through web, API, Linux, macOS, Windows, and self-hosted deployment. Its GraphQL API has a documented limit of 5,000 requests per hour per user. The Open Source tier costs nothing and includes unlimited public repositories and members, plus monthly limits for reviews and formatting runs. Team costs $24 a year, billed yearly, with a stated rate of $24 per user per month. A 14-day trial is available. Enterprise uses custom pricing and offers cloud or self-hosted deployment, among other listed features.

gosec is a free Go source-code security checker that analyzes abstract syntax trees and static single assignment representations. It applies pattern rules, SSA analyzers, and taint analysis to detect issues including injection, path traversal, SSRF, unsafe deserialization, cryptography and TLS problems, blocklisted imports, and Go-specific risks. Findings map to Common Weakness Enumeration entries. Users can select or exclude rules, define path-based exclusions, and change settings such as audit mode. Reports are available as text, JSON, YAML, CSV, JUnit XML, HTML, SonarQube, golint, and SARIF. The project documents GitHub Actions and SARIF uploads to GitHub code scanning; its goanalysis package supports tools such as Bazel nogo. Local installation requires Go 1.25 or newer, with dependencies loaded through Go modules. An optional AI feature suggests fixes through Atlas Cloud, Gemini, Claude, OpenAI, or custom OpenAI-compatible APIs. Automated detection can produce false positives, which annotations can suppress. It is licensed under Apache License 2.0.