Author the DAG without losing the YAML.
Drag through the pipeline, select nodes, and keep the current spec visible when you want the raw model.
Shape data DAGs visually, inspect every table, edit scripts in place, and ship review reports from a focused desktop app built for Rime.
The CLI stays close to runtime execution. Rime Editor is the product layer for designing, debugging, and reviewing a pipeline when you need to see the data and graph at the same time.
Drag through the pipeline, select nodes, and keep the current spec visible when you want the raw model.
Table previews lead with shape, null count, cardinality, column profiles, and sampled rows before code.
The report view renders the current pipeline with graph structure, table shapes, warnings, and outputs.
Visual graph, right-side inspector, data grid, script source, and report preview sit in one desktop workflow.
The editor is intentionally narrower than general docs. It explains the desktop workflow: open a project, inspect data, adjust nodes, and review output.
Load the pipeline, see cached nodes, and orient around the canvas.
Use the node panel to inspect table shape, columns, diffs, warnings, and source.
Move between visual controls, YAML, and script source without leaving the run context.
Preview the current report in-app or open the generated file in a browser.
Rime Editor keeps the pipeline concrete: graph structure, YAML, table previews, SQL, and reports all point back to the same node ids.
nodes:
- id: patient_lab_wide
kind: sql
in:
patients_source: patients_source
lab_agg: lab_agg
source: queries/patient_lab_wide.sql
- id: sql_cohort_refine
kind: sql
in:
repeat_visitors: repeat_visitors
source: queries/sql_cohort_refine.sql
A compact project that walks through CSV and Parquet sources, SQL nodes, derived metrics, statistics, and report output.
Open exampleThese pages stay focused on the desktop product experience. Runtime concepts can stay in the Rime CLI documentation.
Open a project, run the DAG, and learn the main editor surfaces.
Read guideUse table metrics, column profiles, row samples, and diffs while selecting nodes.
Read guidePreview the current report, inspect output sizes, and open the artifact in a browser.
Read guide