Getting Started with gaslamp¶
Welcome to gaslamp! This section will help you get up and running quickly.
What you'll learn¶
- How to install gaslamp in your Google Apps Script project
- Your first steps with
BareFrame— the core DataFrame - How to add schema validation with
FlameFrame - Common workflow patterns and business use cases
Learning Path¶
- Installation - Add gaslamp to your GAS project
- First Steps - 5-minute quickstart guide
- Practical Workflows - Real-world business scenarios
Prerequisites¶
- Basic knowledge of JavaScript
- Google Apps Script project (existing or new)
- Access to Google Sheets (for examples)
Quick Overview¶
gaslamp is a TypeScript library that brings pandas-like DataFrame operations to Google Apps Script. It includes:
- torch: Core data processing —
BareFrame,FlameFrame,GroupedFrame,LazyFrame - flamewright: Runtime type validation —
FlameGuards,FlameWright - gaslets: Google Sheets/Drive integration
- afterglow: Structured logging and monitoring
- gears: General utilities — ClockSmith, Counter, JunkPocket
- jestlite: GAS-compatible testing framework
- remnantflicker: Warning and deprecation utilities
What is BareFrame?¶
BareFrame is the primary entry point for all data operations.
It wraps raw spreadsheet data (getValues()) in a DataFrame with column-name access,
filter, select, groupBy, and more.
JavaScript
const df = gaslamp.BareFrame.fromSheet(sheet);
const adults = df.filter(row => row.get("age") >= 18);
Logger.log(adults.toString());
When you need to validate that data matches a schema, pass the BareFrame to FlameFrame.from:
JavaScript
const schema = {
name: gaslamp.FlameGuards.isString,
score: gaslamp.FlameGuards.isNumber,
};
const df = gaslamp.BareFrame.fromSheet(sheet);
const { passed, failed } = gaslamp.FlameFrame.from(df, schema);
if (failed.length > 0) {
Logger.log(failed.display()); // see which cells failed
}
Ready to start? Begin with Installation!
Note: For migration from existing solutions, see the Migration Guide.