@salesforce/apex-tmlanguage
Advanced tools
Textmate grammar for Apex with outputs for VSCode, Atom and TextMate.
This repository contains the source code for generating the language grammar files for Salesforce's Apex.
Development and setup of this project has not been tested for Windows OS. You may see a node-gyp error - follow the instrutions here to resolve it.
To build and test install Node.js do the following:
npm install to install any dependencies.gulp to build and run tests.Output grammars are output in the grammars\ dirctory.
Token structure is based off of Textmate's Language Grammar guidelines
grammars\apex.tmLanguage.cson - for Atomgrammars\apex.tmLanguage - TextMate grammar (XML plist)Tags on this repo get automatically published as a GitHub release and an NPM package through Travis CI.
This repository was copied from https://github.com/dotnet/csharp-tmLanguage
FAQs
Textmate grammar for Apex with outputs for VSCode, Atom and TextMate.
The npm package @salesforce/apex-tmlanguage receives a total of 641 weekly downloads. As such, @salesforce/apex-tmlanguage popularity was classified as not popular.
We found that @salesforce/apex-tmlanguage demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 50 open source maintainers collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
Security News
Socket’s threat research team has detected six malicious npm packages typosquatting popular libraries to insert SSH backdoors.
Security News
MITRE's 2024 CWE Top 25 highlights critical software vulnerabilities like XSS, SQL Injection, and CSRF, reflecting shifts due to a refined ranking methodology.
Security News
In this segment of the Risky Business podcast, Feross Aboukhadijeh and Patrick Gray discuss the challenges of tracking malware discovered in open source softare.