Data Modeling Python Packages

dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

numpydantic

Type annotations for specifying, validating, and serializing arrays with arbitrary backends in Pydantic (and beyond)

metricflow

MetricFlow allows you to define, build, and maintain metrics in code.

dbt-metricflow

MetricFlow allows you to define, build, and maintain metrics in code.

linkml-dataops

Data API for LinkML instance data

malloy

Python package for executing Malloy

registers

A Python framework built with Developer Experience in mind. Building CLI tools and database-backed applications.

decorates

A Python framework built with Developer Experience in mind. Building CLI tools and database-backed applications.

bruin-sdk

Bruin Python SDK — eliminate boilerplate in Bruin Python assets

dvt-ce

DVT — cross-engine data transformation tool with DuckDB federation.

linkml-model

Metamodel schema, documentation, and specification for the Linked Open Data Modeling Language (LinkML)

schema-automator

Automated assistance for the schema development lifecycle

reflekt

Define, govern, and model event data for warehouse-first product analytics.

sayn

Data processing and modelling framework for automating tasks (incl. Python & SQL transformations).

dbt-firebolt

The dbt adapter for Firebolt

dbt-presto

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dataforge-core

DataForge helps data teams write functional transformation pipelines by leveraging software engineering principles

lattice

A framework for developing data models, including schema development and documentation.

metricflow-klook-data

Translates a simple metric definition into reusable SQL and executes it against the SQL engine of your choice.

s2dm

A Simplified Semantic Data Modeling (S2DM) approach that offers a pragmatic balance between semantic rigor and usability for subject matter experts.

hnhm

hNhM – highly Normalized hybrid Model.

docbt

Documentation Build Tool - Generate YAML documentation for dbt models with optional AI assistance. Built with Streamlit for an intuitive and familiar web interface.

hermes-orm

Hermes: A high-performance Python ORM with advanced support for migrations, relationships, query building, and caching. Ideal for modern database-driven applications with CLI integration and SQLite async compatibility.

dbt-kernel

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.