Version updated for https://github.com/TheThoughtagen/ignition-lint to version v1.4.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The ignition-lint GitHub Action is a linting toolkit designed for Ignition SCADA projects, helping developers identify and resolve issues before runtime. It automates tasks such as detecting Jython syntax errors, validating JSON schemas, enforcing naming conventions, identifying deprecated API usage, and flagging code inefficiencies.

Version updated for https://github.com/TheThoughtagen/ignition-lint to version v1.3.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The ignition-lint GitHub Action is a linting toolkit designed for Ignition SCADA projects. It automates the detection of errors, enforces coding standards, and ensures code quality by validating Jython scripts, JSON schemas, and project conventions.

Version updated for https://github.com/TheThoughtagen/ignition-lint to version v1.2.0. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary Ignition-lint is a linting toolkit designed for Ignition SCADA projects to automate code quality checks, enforce best practices, and detect potential runtime errors. It identifies issues such as Jython syntax errors, malformed bindings, deprecated API usage, and inefficient expressions while promoting consistency with naming conventions and performance optimization.

Version updated for https://github.com/TheThoughtagen/ignition-lint to version v1. This action is used across all versions by 0 repositories. Action Type This is a Composite action. Go to the GitHub Marketplace to find the latest changes. Action Summary The ignition-lint GitHub Action is a comprehensive linting toolkit designed for Inductive Automation’s Ignition SCADA projects. It automates the detection of issues such as Jython syntax errors, malformed bindings, and deprecated API usage, while enforcing best practices like naming conventions and identifying performance bottlenecks.