chartbook 0.0.3

A tool for generating chart documentation websites

ChartBook

A developer platform for data science teams.

Discover, document, and share data science work across your organization. ChartBook provides a centralized catalog for data pipelines, charts, and documentation—making it easy to find, understand, and reuse analytics work.

Terminology

ChartBook supports two project types:

• Pipeline — A single analytics pipeline with its own charts, dataframes, and documentation
• Catalog — A collection of multiple pipelines aggregated into a unified documentation site

See the Concepts page for the full terminology including ChartBooks and ChartHub.

Features

• Pipeline Catalog — Organize and discover data pipelines across your team
• Documentation Generation — Build searchable documentation websites from your analytics work
• Data Governance — Track data sources, licenses, and access permissions
• Programmatic Data Access — Load pipeline outputs directly into pandas or polars
• Multi-Pipeline Catalogs — Aggregate multiple pipelines into a single documentation site

Installation

Recommended:

pip install chartbook[all]

This gives you everything: data loading, plotting utilities, and the CLI for building documentation.

Minimal install (data loading only):

pip install chartbook[data]

Development:

pip install -e ".[dev]"

Quick Start

Load data from a pipeline

from chartbook import data

df = data.load(pipeline_id="fred_charts", dataframe_id="interest_rates")

Build documentation

chartbook build

See the documentation for configuration options and detailed guides.

Documentation

Full documentation is available at backofficedev.github.io/chartbook.

• Getting Started
• Configuration Reference
• CLI Reference

Contributing

Contributions are welcome. See CONTRIBUTING for guidelines.

License

Modified BSD License