Eida

Run the full data loop.

Ingest, prepare, check, explore, and observe — one self-hosted workspace for data science.

Open appHow it works
Eida overview — datasets, runs, and workspace activity

How the work flows.

Five stages. Same product journey you use inside Eida.

  1. 01

    Ingest

    Import datasets and manage them at dataset and variable level — the library your pipelines start from.

    Datasets catalog in Eida
  2. 02

    Prepare

    Build transformation pipelines that cast, join, and shape data into analysis-ready views.

    Data preparation pipelines in EidaPipeline canvas with transform nodes in Eida
  3. 03

    Check

    Run automated quality checks that surface actionable observations — not silent failures.

    Quality checks dashboard in Eida
  4. 04

    Explore

    Open marimo notebooks for custom analysis against the data you already trust.

    Notebook hub in Eida
  5. 05

    Observe

    Track runs, scheduling, and carbon (kgCO₂e) in the open — so cost and impact stay visible.

    Runs list with status and carbon in Eida

Open Eida and import a dataset.

Open app