RCPCHGrowth Python library

Calculations for children's measurements against UK and international growth references.

PyPI version License: AGPL v3 Binder Codespaces

For AI/LLM agents working on this repository: Please read AGENTS.md for project context, development workflow, and testing strategy.

Please go to https://growth.rcpch.ac.uk/products/python-library/ for full documentation.

Issues can be raised here https://github.com/rcpch/rcpchgrowth-python/issues

Installation

Docker

If you want to avoid setting up docker environments, there are shortcut scripts the create a dockerized environment with RCPCHGrowth already installed.

This will generate a container which will launch some Jupyter notebooks in a browser and allow local dev (with hot reload).

Convenience Scripts

The s/ folder contains helper scripts for common development tasks:

Script Purpose
s/up Start the development container
s/down Stop the development container
s/test Run pytest (auto-starts container if needed; use --running flag for already-running container)
s/notebook Launch JupyterLab in your browser
s/shell Open an interactive bash shell in the container
s/python Launch Python REPL in the container

Quick start:

# Start the container and launch notebooks
s/notebook

# Run tests (in a separate terminal)
s/test

# Or run tests in an already-running container
s/test --running

# Run the UK-WHO integration suite
s/test rcpchgrowth/tests/test_uk_who.py -v

# Reference WHO test datasets and under-2 gold-standard rationale
# (192 deterministic anthro-generated cases)
# See rcpchgrowth/tests/who_test_data/README.md

# Stop when done
s/down

Minimal installation (without docker) assuming you have a python virtual env setup

pip install rcpchgrowth

With notebook & package dependencies:

pip install "rcpchgrowth[notebook]"

The notebook extra currently pulls in: pandas, matplotlib, jupyterlab, ipykernel.

Data handling / privacy

Data handling & privacy
Never commit identifiable patient data.
• Keep raw identifiable data outside version control (secure, access‑controlled).
• De‑identify before analysis (remove names, NHS numbers, full DOB; date‑shift if required).
• Do not push raw exports to forks, PRs or gists.
• Use ResearchTemplate.ipynb for generating de‑identified derived outputs.
If in doubt, stop and seek local information governance guidance.

Contributing

See issues list and please open discussions before large changes.

Copyright © Royal College of Paediatrics and Child Health

Project links

Data verified by PyPI on Aug 6, 2026
Data provided by the project maintainers, verified at the time the release was uploaded to PyPI.

Key dates

PyPI data
Data sourced directly from PyPI's database.
  • Released:
Newer release available (4.6.4)

Owner

PyPI data
Data sourced directly from PyPI's database.

Credits

Author/Maintainer: RCPCH Incubator

GitHub Statistics

Data verified by PyPI on Aug 6, 2026
The GitHub source repository was provided by the project maintainers and verified by PyPI at the time of upload. Stars, forks, and open issues/PRs are derived from that repository and have not been independently verified.

License expression

AGPL-3.0-or-later
View SPDX License List

Requires

Python >=3.10

Provides Extra

notebook dev

Tags

growth charts anthropometry SDS centile UK-WHO UK90 Trisomy 21 Turner CDC

Classifiers

Report project as malware

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