Build scalable
data apps.

Pipelines, dashboards, and notebooks in one app — on your own machine. Pair on data work in real time, like a shared doc.

Real-time editing with your team
One app, not five tools to wire up
Runs on your machine, no cloud bill
No signup. No credit card. One click in.
Built for small teams — analysts, startups, agencies.
Up in minutes. No procurement, no setup wizard.
Open source. MIT-licensed on GitHub.
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One app, not five

Stop stitching tools. Start building.

Pipelines, dashboards, notebooks, and a place to keep your data — all in the same app. No glue code. No multi-vendor bill.

Visual pipeline builder

Drag blocks onto a canvas to load, filter, join, and shape data. No code. See a live preview at every step.

Pipeline orchestration

Save any flow as a pipeline. Cron + interval triggers, parameters, retries, run history. Survives disconnects.

Notebooks & code

For when you want to write a little Python or SQL. Same workspace, same data, no extra setup.

Ask in plain English

Type a question like “top customers last month” — get a working query, a results table, and a chart.

Built-in warehouse

One organized home for every dataset. Folders, versions, and search. Nothing leaves your machine.

Dashboards & reports

Drag charts onto a page. Click a filter, every chart updates. Auto-refreshes when new data arrives.

How it works

Four steps. One app.

Pull data in. Keep it in one place. Ask AI to build a dashboard. Share it with your team.

Spreadsheet
API
Database
1EXTRACT

Pull data in.

Drag a block, pick a source. Spreadsheets, websites, databases — no connectors to write.

Your library
orders 1.2M
customers 48K
products 2.1K
revenue 312K
2STORE

Keep it in one place.

Every dataset lands in your own organized library. Searchable, versioned, all on your machine.

Build me a dashboard of Q1 revenue
On it
3ASK AI

Tell AI what to build.

Plain English. AI picks the right data, builds the charts, surfaces the insights.

D M S
4SHARE

Send a link.

Your team sees the same dashboard, live. It updates itself when new data lands.

Ask. AI builds it.

Turn a question into a full dashboard.

Type what you want to see in plain English. AI finds the right data, picks the right charts, surfaces the insights worth your attention — and you can share it with a single link.

AI assistant
D Build me a dashboard showing Q1 revenue trends, top customers, and what's driving growth.
Looking at your data…
Found orders, customers, and products in your library.
1.2M rows · range Jan 1 – Mar 31.
Picked 3 KPIs, a revenue trendline, top-10 customers, and a category split.
Spotted 2 insights worth your attention.
Generating dashboard

Q1 Revenue Overview

Built by AI
live · auto-refresh Share
Total revenue
$1.28M
+24.6% vs. Q4
New customers
487
+12.8% vs. Q4
Avg order value
$284
−3.2% vs. Q4
Revenue trend · weekly
Jan 1 – Mar 31
peak: $128K
By category
$1.28MQ1
SaaS · 48% Services · 28% Hardware · 18% Other · 6%
Top customers by revenue
top 6 of 487
Acme Corp$142K
Globex$118K
Initech$98K
Hooli$78K
Stark Industries$62K
Wayne Enterprises$51K
Acme Corp drove 11% of Q1 revenue on their own — heaviest concentration in two years. Worth a check-in.
Average order is down 3.2% while customer count is up. Smaller deals from new logos — pricing or packaging signal?
nightly-warehouse
· cron: 0 2 * * *
Healthy

Run history

last 24h · 8 runs
RunStartedDurationStatus
#128402:00:144m 18sRunning
#1283yesterday 02:003m 52sSuccess
#12822 days ago 02:004m 04sSuccess
#12813 days ago 02:006m 31sRetried (1)
#12804 days ago 02:003m 47sSuccess
Set-and-forget scheduling

Set the time. Forget about it.

Tell a pipeline when to run — every hour, every Monday morning, on a webhook. It runs on the server, not your laptop. Close your machine. Come back to fresh data.

  • Any schedule — Hourly, daily, weekly, or a webhook from your app.
  • Full run history — See what ran, when, and why it failed. Logs included.
  • Phone-friendly monitor — Glance at a run from your phone while you grab coffee.
Real-time collaboration

Like a shared doc — but for your data work.

See your teammates' cursors on the canvas. Edit a notebook together. Watch a run from your laptop while someone else checks it from their phone. The enterprise tools don't do this. We do.

  • Live cursors & edits — Pair on a pipeline. Code review in the cell, not on a PR.
  • Glance from your phone — Mobile-friendly view for checking a run or dashboard on the go.
  • One shared view — No "which version is right?" Everyone is in the same workspace.
orders-daily
DJ MR SK PV +2 4 editing
Import CSVorders.csv
Filterstatus = 'paid'
Custom column+ ltv_score
Diana
Marco
Sara
Open it now

Get your data app running in minutes.

One command on your own machine. No cloud account. No procurement. Land in the dashboard — start dragging blocks.

$curl -sSL get.etl.studio | sh
$etl up
workspace available at http://localhost:8443
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