Code Matrix - AngularJS
A The AngularJS Code Analyzer
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Unlock Your AngularJS App Insights with CodeMatrix
The Code Analyzer for AngularJS
Are you planning to migrate your AngularJS application but unsure about the effort, risks, or costs involved? Macrosoft’s CodeMatrix for AngularJS is here to simplify your journey!
The AngularJS Code Matrix Analyzer represents a groundbreaking advancement in application modernization technology, specifically designed to streamline and optimize the migration process from AngularJS to modern Angular frameworks. This innovative tool serves as a comprehensive solution for organizations facing the challenges of legacy AngularJS application modernization.
At its core, the analyzer performs a detailed assessment of existing AngularJS applications, providing organizations with crucial insights into their codebase. The tool meticulously examines various aspects of the application, including controllers, services, directives, and other AngularJS-specific components, generating a detailed analysis report that serves as a roadmap for migration.
Why CodeMatrix?
Our proprietary analyzer tool automates AngularJS code assessment and delivers actionable insights to:
✅ Estimate project complexity, duration, and cost with precision.
✅ Identify 3rd-party dependencies, frameworks, and risks (data migration, UI issues, etc.).
✅ Generate detailed reports (Summary, CSV, and Breakdowns) on:
- Lines of code, screens, controllers, directives, and modules.
- Reusable components, file structures, and technical debt.
How It Works
- Download the CodeMatrix tool (it’s free!).
- Run a one-click analysis on your AngularJS app.
- Get instant metrics to build a data-driven migration plan.
Make Smarter Migration Decisions
CodeMatrix equips your team to:
🔹 Prioritize high-risk components.
🔹 Optimize effort estimates and timelines.
🔹 Choose the right migration strategy for your business.
Ready to start? Download the tool today
P.S. The sooner you analyze, the smoother your migration! Try CodeMatrix now and see the difference data-driven planning makes.