Top Free Static Code Analysis Tools - Page 4

How Many Static Code Analysis Tools Products Does G2 Track?

Total Products under this Category: 137

Category Stats (Sep 2026)

  • Average Rating: 4.38/5 (↑0.01 vs Aug 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: TASKING Test & Verification Tools (+10.99%) - Among all products in this category, TASKING Test & Verification Tools recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Static Code Analysis Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 2,200+ Authentic Reviews
  • 137+ Products
  • Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

G2 Grid® for Static Code Analysis Tools

G2 Grid® for Static Code Analysis Tools plotting products by satisfaction and market presence

Highlighted products: SonarQube, Gearset DevOps, Checkmarx, Semgrep, SoftSpell, Black Duck Polaris Platform, CAST Imaging, and ReSharper C++.

Underlying data: [Grid® JSON](https://www.g2.com/categories/static-code-analysis/grids.json?focus%5B%5D=sonarqube&focus%5B%5D=gearset-devops&focus%5B%5D=checkmarx&focus%5B%5D=semgrep&focus%5B%5D=softspell&focus%5B%5D=black-duck-polaris-platform&focus%5B%5D=cast-imaging&focus%5B%5D=resharper-c)

MES Model Examiner (MXAM)

The MES Model Examiner (MXAM) is the leading tool to ensure the comprehensive static analysis of your models. As the Functional Safety Solution, MXAM analyzes model structure and evaluates model metrics, while providing an easy way to review modeling guidelines, making it an all-in-one tool. The Model Examiner is certified by TÜV SÜD as a T2 Offline Support Tool for use in safety-relevant embedded software development in compliance with ISO 26262, IEC 61508, and ISO 25119. Your MXAM Benefits: - Static Testing: MXAM provides essential support for safety activities in the certified workflow - Compliance: Ensure compliance with modeling guidelines and safety or quality standards (ISO 26262, ISO 25119, IEC 61508, DO 178B/C, ASPICE etc.) - Quality Assurance: Evaluate quality in models regarding design principles and modeling guidelines - Simply Better Models: Repair and guided model improvements with a guideline-compliant layout at the touch of a button - Model-Based Design: MXAM and Simulink work hand in hand – seamlessly integrate it into an MBD toolchain - Model Analysis: Automatically analyzes software models with fast results – generates reports with detailed findings and quick navigation in various formats - Scalability: Manages even large software models with ease, from single workstations to company-wide solutions - Enhanced Code Generation: MXAM supports compliant software for standards like AUTOSAR – improve code quality, safety, and security - Automation: MXAM supports all common platforms, on-premises or cloud – easily integrate it into your toolchain with a central and scalable setup

Who Is the Company Behind MES Model Examiner (MXAM)?

Metabob

Metabob automatically finds complex logic-based errors hiding in your code and offers advanced developer productivity metrics Metabob’s offering provides tools to enhance developer productivity, improve code health, and helps teams to efficiently allocate resources. Metabob is able to detect where problems are and how they interact with other aspects of your codebase, as well as offer plain-text recommendations on how to fix them. Metabob creates a space where engineering managers can track the performance of individual team members and the team as a whole, delivering metrics where other management solutions fall short.

Who Is the Company Behind Metabob?

  • Seller: Metabob
  • Year Founded: 2021
  • HQ Location: Santa Clara, US
  • LinkedIn® Page: www.linkedin.com
    16 employees on LinkedIn®

PATHTOSHIP

PathToShip is a production-readiness scanner for applications built with AI coding tools. Paste a GitHub URL and in about 30 seconds you get a 0–100 score, a prioritized list of findings with concrete fixes, and a clear answer to the question every AI-assisted builder eventually faces: is this actually safe to ship? The scanner runs more than 75 checks across seven dimensions: security, architecture, scalability, production readiness, code quality, cost efficiency, and infrastructure. Findings are ranked by severity with file-and-line locations and plain-language explanations of what's wrong and how to fix it, so the results work whether you read them yourself or hand them to your AI coding assistant. The scan also estimates your monthly infrastructure cost today and at 10x scale, and flags vendor lock-in before it gets expensive. PathToShip is built for founders, agencies, and small teams shipping apps made with Bolt, Lovable, Cursor, v0, Replit, Windsurf, and similar tools. These tools are remarkable at producing working software quickly; what they don't reliably produce is software hardened for real users. We scanned 521 public AI-built repositories and found that only 20 percent met the production-ready bar of 80/100, 36 percent had at least one critical security finding, and 25 percent shipped a hardcoded secret or API key. The gap between a working demo and a shippable product is real, and it is usually the same handful of issues. The free tier is the complete scan: every finding, no signup, public or private repositories. Apps that score 80 or higher earn a shareable, embeddable PathToShip Certified badge with per-dimension scores. For teams that want to close the gap quickly, a one-time $99 ASSESS report adds AI-generated remediation specs for each finding, a step-by-step mitigation checklist designed to paste directly into your AI coding tool, a vendor lock-in and exit-cost analysis, and a downloadable PDF. We hold ourselves to the same standard we apply to everyone else. Our own repository initially scored 56/100 on our own scanner. We bought our own report, worked the checklist, and reached 97, earning our own Certified badge, and we published every finding and fix along the way, including the false positives we corrected in the scanner itself. If you've built an app with AI assistance, find out where you stand before your users do.

Who Is the Company Behind PATHTOSHIP?

prelint

It’s a non-negotiable that shipped code matches product specs, not just that it passes code review. When AI agents move autonomously and fast, code drifts from specs, business rules, and compliance expectations. That drift shows up as rework, missed deadlines, and features that technically work, but break how the product should behave. prelint reduces that drift. It synthesises your specs, tickets, emails, call transcripts, and meeting notes into a product knowledge graph and checks every pull request against those decisions before it merges, so you see which changes quietly contradict the spec while there is still time to adjust. You spend less time re‑opening tickets, fixing last minute issues, or rolling back work that should never have shipped. Not another tool in your tech stack: your team keeps its current GitHub‑based workflow and documents the expected behaviour where it already exists. prelint turns those decisions into checks that run with your existing pipeline and review flow. Leaders keep control over what is allowed to ship without adding more meetings. Developers and agents keep moving at the speed the business expects, inside clear boundaries that protect the product and your compliance workflows.

Who Is the Company Behind prelint?

  • Seller: Prelint
  • Year Founded: 2025
  • HQ Location: San Francisco, CA
  • Twitter: @prelint_ai
    33 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Quality Clouds AI Code Governance

Quality Clouds is an AI Code Governance platform that makes AI-generated code production-ready. As enterprises adopt AI coding assistants and agentic platforms — from ServiceNow Now Assist and Salesforce Agentforce to tools like Cursor, Lovable, Replit, and Claude Code — Quality Clouds scans what they produce before it reaches production, catching configuration drift, security risks, technical debt, and compliance violations across dev, test, and UAT environments. The platform provides a single governance layer that works across multiple enterprise platforms. Rather than relying on post-deployment monitoring, Quality Clouds operates upstream — analysing AI-generated code, configurations, and agent logic in pre-production to ensure they meet organisational standards before go-live. LivecheckAI, the platform's core engine, continuously evaluates code against hundreds of best-practice rules and provides guided remediation so teams can fix issues before they become incidents. Quality Clouds is purpose-built for enterprises in regulated industries — financial services, energy, healthcare, retail, and the public sector — where the speed of AI-generated code must be matched by rigorous governance. The platform is used by global organisations including Barclays, Shell, Nestlé, BP, and Sainsbury's to govern their most critical business platforms at scale.

Who Is the Company Behind Quality Clouds AI Code Governance?

  • Seller: Quality Clouds Ltd
  • Year Founded: 2015
  • HQ Location: London, England
  • Twitter: @QualityClouds
    410 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    47 employees on LinkedIn®