bandit
Bandit is excellent for Python-focused static security scanning (SAST — Static Application Security Testing). It excels at detecting issues like injection risks, insecure deserialization, weak crypto, and more, with low false positives in Python codebases.
Here are some of the most popular and effective equivalent or complementary tools for other programming languages in 2026. These are primarily open-source or widely used tools (since Bandit is open-source and free), but I’ve included a few strong commercial/enterprise options that dominate in practice.
I’ve grouped them by primary language strength, though many modern tools support multiple languages.
Multi-Language / Polyglot SAST Tools (Best for mixed codebases)
These are the closest analogs to Bandit when you have projects using several languages — fast, rule-based/customizable, and developer-friendly.
Semgrep
Open-source, extremely popular in 2026.
Supports 40+ languages (including Python, JavaScript/TypeScript, Java, Go, Ruby, C/C++, C#, PHP, Rust, Kotlin, Scala, Swift, and more).
Uses pattern-matching rules (YAML-based, easy to write custom ones).
Great for security + code quality, low false positives, CI/CD integration, and has AI-assisted features (Semgrep Assistant) for explanations/fixes.
Install:pip install semgrepor use the CLI/binary.
Run example:semgrep scan --config=auto .SonarQube / SonarCloud
Mature, open-source (community edition) with strong security + code quality rules.
Supports 30+ languages (Java, C#, JavaScript/TypeScript, Python, Go, PHP, Ruby, Kotlin, etc.).
Very good for large codebases; includes “Quality Gates” to block merges on security issues.
Enterprise features (SonarCloud paid) add deeper security scanning.Snyk Code (formerly DeepCode AI)
Developer-first, AI-powered SAST.
Strong support for JavaScript/TypeScript, Python, Java, Go, Ruby, PHP, C#, Kotlin, Swift (19+ languages).
Excellent at finding real issues with low noise; integrates well in IDEs and PRs.GitHub Advanced Security (CodeQL)
Built into GitHub (free for public repos, paid for private).
Semantic/query-based analysis (very powerful for data-flow bugs).
Excellent for JavaScript/TypeScript, Java, Python, C#, Go, Ruby, C/C++, etc.
Community queries cover OWASP Top 10 and more.
Language-Specific Tools (Like Bandit for Python)
These are highly specialized and often outperform general tools for that language.
| Language | Top Tool(s) | Type | Key Strengths / Notes |
|---|---|---|---|
| JavaScript/TypeScript | ESLint + plugins (e.g., eslint-plugin-security) nodejsscan / retire.js (for deps) | Open-source | ESLint is the de facto standard; add security rulesets. Semgrep or Snyk often better for deep vuln detection. |
| Java | SpotBugs (successor to FindBugs) PMD + security rules | Open-source | SpotBugs great for null pointers, insecure deserialization, etc. Checkmarx/Veracode excel commercially. |
| Go (Golang) | gosec | Open-source | Bandit-like for Go: checks for crypto issues, file perms, SQL injection patterns. |
| Ruby (esp. Rails) | Brakeman | Open-source | Rails-specific; finds SQLi, XSS, mass assignment, insecure configs — very accurate. |
| C / C++ | cppcheck Clang Static Analyzer | Open-source | cppcheck fast and good for memory issues/buffer overflows; Clang deeper but slower. |
| PHP | Psalm / PHPStan (with security extensions) phpcs + security sniffers | Open-source | Psalm excels at taint analysis (track user input to sinks). |
| Rust | Clippy (built-in) + cargo-audit (for deps) | Open-source | Clippy catches many unsafe patterns; Rust’s safety helps, but still useful. |
| .NET / C# | Puma Scan Roslyn analyzers | Open-source | Puma good for web-specific issues; Microsoft Security Code Analysis (NuGet) strong. |
| Swift / Kotlin | SwiftLint + custom rules Detekt (Kotlin) | Open-source | Mostly style/quality, but security plugins exist; Semgrep covers well. |
Quick Recommendations Based on Your Use Case
- Want something as simple/fast as Bandit for one language? → Use the language-specific tool above (gosec for Go, Brakeman for Ruby, etc.).
- Working on full-stack / polyglot projects? → Start with Semgrep (free, fast, customizable) or Snyk Code (great UX + AI).
- In GitHub ecosystem? → Enable GitHub Advanced Security (CodeQL) — it’s often the best “free” deep analysis.
- Need enterprise-grade (deep analysis, low false positives, compliance)? → Checkmarx, Veracode, or ZeroPath (AI-native in 2026).
Most of these integrate into CI/CD (GitHub Actions, GitLab CI, Jenkins) and many have IDE plugins.