In GridScript, a pipeline defines a sequence of operations that process, transform, and visualize your data step by step. It lets you chain together multiple stages — such as importing files, running code, or generating charts — into a single, repeatable workflow.
A pipeline is a workspace-level asset that combines different stages of data analysis and transformation. Each stage operates on the shared context, passing its results to the next stage in the sequence.
.csv, .xlsx, or .json.JavaScript or Python code that processes or visualizes your data.A pipeline is made up of stages, each representing one step in your data workflow. You can add, remove, or reorder stages as needed. The shared context makes it easy to connect imported datasets with transformations or visualizations in later stages.
.csv, .xlsx, and .json. The imported data is stored in the pipeline’s shared context under a chosen field name.JavaScript or Python code to manipulate or visualize data. Each code stage runs inside an isolated Web Worker for performance and safety. Use helper functions such as:table(data) – Display tabular data.chart(options) – Render charts using AG Charts.log(message) – Output text messages or errors.You can execute individual stages or run the entire pipeline from the Toolbar. The toolbar also lets you save, import, and export pipelines for reusability.
.gspp file.Each stage can generate visual feedback, including interactive tables, charts, or logs. You can zoom into visuals, export data as CSV, Excel, or JSON, or download charts as images.
sales_data.xlsx).chart().