Dremio Python Libraries

Official

Access and manage Dremio data from Python

Authordeveloper-advocacy-dremio
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Provides a concise, actionable guide for connecting AI agents and developers to Dremio from Python to run queries, build dataframes, ingest data, and perform administration tasks without needing to memorize library specifics.

Core Features & Use Cases

  • Lightweight high-performance queries: Use Arrow Flight via dremio-simple-query for fast SQL query execution and zero-copy Arrow results.
  • Full-featured dataframe workflows: Use DremioFrame for ingestion, CRUD, Iceberg management, modeling, charting, orchestration, and admin tasks.
  • Flexible authentication and outputs: Supports profiles, environment variables, or direct parameters and returns results as Arrow, Pandas, Polars, or DuckDB relations.
  • Use Case: Quickly fetch large query results into a Pandas DataFrame for analysis or build repeatable ingestion pipelines that merge API data into Iceberg tables.

Quick Start

Connect using a saved profile or environment variables and instruct the agent to run a SQL query and return the results as a Pandas DataFrame.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: Dremio Python Libraries
Download link: https://github.com/developer-advocacy-dremio/dremio-skills-bundle/archive/main.zip#dremio-python-libraries

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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