Operate your analytics platform — people and AI agents, in control.
ade-ops is an open-source framework for analytics teams working across Databricks, Microsoft Fabric, and Power BI. Author once, deploy everywhere — and every change to a live environment is shown as a diff and confirmed before it's written. Start on a single project; scale to how your whole team operates.
Early public preview — expect rough edges, and please file what you hit. Built and maintained in the open by Roberto Butinar · Apache 2.0.
What you get
Author once, deploy everywhere
A single source of truth in src/, adapted per environment
with overlays. The same engine treats Databricks, Fabric and Power BI
the same way.
Diff before every push
Remote environments are authoritative. You see exactly what changes before it's written — no silent overrides.
People and AI agents, together
Usable from a plain CLI, and built for AI coding assistants to drive the work — with a human confirmation on anything that touches a live environment.
AI-agnostic — no lock-in
Works with Claude Code, GitHub Copilot and Codex. The same open framework, whichever assistant your team runs.
Part of the ADE family
Independent, composable tools for analytics data engineering — use either on its own or together. ade-catalog maps what exists and how it's connected; ade-ops operates what you run and where you deploy it. Map the territory, then operate it.
ade-catalog
Analyze, explore, and document your analytics environments — a navigable catalog of what exists and how it's connected.
Source on GitHub ↗
You're here
ade-ops
Operate, sync, and deploy across your analytics platforms — Databricks, Power BI, Fabric — with people and AI agents in control.
Source on GitHub ↗ade-skills Planned
A shared knowledge library for AI agents across the family.
Get started right away
Clone the repo, run the scenario-aware onboarding, and operate your first project from your own machine — Databricks, Fabric, or Power BI.
Running a larger, governance-heavy team? Talk to us about enterprise ↗