Semgrep vs DeepSource

Struggling to choose between Semgrep and DeepSource? Both products offer unique advantages, making it a tough decision.

Semgrep is a Development solution with tags like static-analysis, pattern-matching, vulnerability-detection.

It boasts features such as Pattern matching to find bugs and vulnerabilities, Supports many languages like Python, Java, JavaScript, Go, etc, Can detect SQL injections, hardcoded credentials, use of weak crypto APIs, Integrates with CI/CD pipelines, Can be run locally or hosted on cloud platforms, Open source and free for individual developers and pros including Finds security issues without needing to run code, Much faster than traditional SAST tools, Easy to write new rules/patterns, Great for enforcing code standards.

On the other hand, DeepSource is a Development product tagged with code-review, static-analysis, linting, security.

Its standout features include AI-powered code analysis, Real-time code scanning, Suggests fixes for issues, Detects security vulnerabilities, Identifies code smells, Checks for style violations, and it shines with pros like Improves code quality, Enhances security, Increases developer productivity, Easy integration into CI/CD pipelines, Supports many languages and frameworks.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Semgrep

Semgrep

Semgrep is an open-source tool for detecting bugs and security vulnerabilities in source code using pattern matching. It works by scanning codebases to find instances where code matches predefined patterns that correspond to vulnerabilities or errors.

Categories:
Development Code Analysis
static-analysis pattern-matching vulnerability-detection

Semgrep Features

  1. Pattern matching to find bugs and vulnerabilities
  2. Supports many languages like Python, Java, JavaScript, Go, etc
  3. Can detect SQL injections, hardcoded credentials, use of weak crypto APIs
  4. Integrates with CI/CD pipelines
  5. Can be run locally or hosted on cloud platforms
  6. Open source and free for individual developers

Pricing

  • Free
  • Open Source

Pros

Finds security issues without needing to run code

Much faster than traditional SAST tools

Easy to write new rules/patterns

Great for enforcing code standards

Cons

May have false positives requiring tuning rules

Not as comprehensive as SAST tools

Requires expertise to write good rules

Only finds issues matching predefined patterns

DeepSource

DeepSource

DeepSource is an AI-powered code review tool that helps developers ship clean, secure code. It scans code in real-time and suggests fixes for issues like security vulnerabilities, code smells, style violations, and more.

Categories:
Development Code Quality
code-review static-analysis linting security

DeepSource Features

  1. AI-powered code analysis
  2. Real-time code scanning
  3. Suggests fixes for issues
  4. Detects security vulnerabilities
  5. Identifies code smells
  6. Checks for style violations

Pricing

  • Freemium
  • Subscription-Based

Pros

Improves code quality

Enhances security

Increases developer productivity

Easy integration into CI/CD pipelines

Supports many languages and frameworks

Cons

Can generate false positives

Requires some configuration

Not designed for legacy codebases

Limited custom rule creation