elbi
Active·★ 34·Apache-2.0·Updated 2026-10-22
elbi enables developers to define data derivations (transforms, aggregates, models) in Python, serving them as versioned, cached, and governed tools to AI agents via the Model Context Protocol. It ensures agents interact with reliable, verified data outputs, supporting data quality, lineage, and observability.
#Data Derivation#AI Agent Tool#Model Context Protocol#Data Governance#Caching#Python SDK#Data Observability
01
Features
01Define data derivations (transforms, aggregates, models) in Python.
02Serves versioned and cached derivations to AI agents via Model Context Protocol.
03Enforces data contracts for verification and quality checks on data inputs.
04Maintains result history and lineage for every certified derivation.
05Integrates with various data sources (CSV, JSON, Parquet, SQL databases).
02
Compatibility
Python
Runtime
Verified via docs
03
Quick start
1
$ uv tool install elbi
04
Use cases
↳Provide AI agents with governed, reliable data outputs instead of direct raw table access.
↳Build verified dashboards where every tile binds to a certified derivation.
↳Create a feature store with point-in-time correct training joins and a low-latency online store.
↳Define and monitor metrics with a verified semantic layer that imports from and exports to OSI.
↳Orchestrate materialization of stale data assets on a cron schedule or data-change sensor.
05
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