Define datasources, pipes, and endpoints as Python code. Get typed ingestion, IDE autocomplete, and a language your coding agent already understands.

Tinybird is a real-time data analytics platform for building fast and scalable data pipelines, offering tools for data ingestion, processing, and visualization. From this blog users can learn about stream processing, data warehousing, and analytics techniques to unlock insights from their data and make data-driven decisions.

Tinybird

Tinybird has released a Python SDK that lets developers define datasources, pipes, endpoints, materialized views, and copy pipes entirely in Python code. The SDK provides typed ingestion with full ClickHouse type coverage, Pydantic model integration for schema reuse, IDE autocomplete, and mypy/pyright compatibility. A CLI workflow supports hot reload, branch-based development, and incremental migration from existing datafiles. The Python-native approach also makes Tinybird resources accessible to AI coding agents like Claude Code, Codex, and Cursor.

Tinybird, now Python-native too