Open Source JavaScript Source Code Analysis Tools for Windows

JavaScript Source Code Analysis Tools for Windows

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Browse free open source JavaScript Source Code Analysis Tools for Windows and projects below. Use the toggles on the left to filter open source JavaScript Source Code Analysis Tools for Windows by OS, license, language, programming language, and project status.

  • Auth for GenAI | Auth0 Icon
    Auth for GenAI | Auth0

    Enable AI agents to securely access tools, workflows, and data with fine-grained control and just a few lines of code.

    Easily implement secure login experiences for AI Agents - from interactive chatbots to background workers with Auth0. Auth for GenAI is now available in Developer Preview
    Try free now
  • Cloud SQL for MySQL, PostgreSQL, and SQL Server Icon
    Cloud SQL for MySQL, PostgreSQL, and SQL Server

    Focus on your application, and leave the database to us

    Fully managed, cost-effective relational database service for PostgreSQL, MySQL, and SQL Server. Try Enterprise Plus edition for a 99.99% availability SLA and category-leading performance.
    Try it for free
  • 1
    A Notepad++ plugin that allows users to run JSLint (The JavaScript Code Quality Tool) against their open JavaScript files (more about JSLint at http://www.jslint.com/lint.html). Also supports JSHint (http://www.jshint.com/).
    Leader badge
    Downloads: 215 This Week
    Last Update:
    See Project
  • 2
    Scertify - TechDebt Community

    Scertify - TechDebt Community

    Benchmark code quality and measure Technical Debt of projects in Sonar

    Scertify™ Refactoring Assessment is an open source component dedicated to development & QA teams that provides exclusive benchmark data on Software Quality. It automatically detects the portions of an application that can be refactored, gives valuable information on refactoring strategies, and costs. Though IT departments have matured these last 10 years and have now no doubt on the benefits of a continuous control of code quality, three major concerns were still remaining, without any tools able to effectively addressing these needs: * How to understand quality indicators, and how to compare them with the state of the art? * How to measure and manage the gap between the absolute quality level of a software, and a reasonable (reachable) target of quality? * What are the shortest and safe ways to achieve your quality goals?
    Downloads: 0 This Week
    Last Update:
    See Project
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