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jeromekelleher merged 1 commit into from
Mar 2, 2026
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Drop wheels badge #175

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# tstrait

[![License](https://img.shields.io/github/license/tskit-dev/tstrait)](https://github.com/tskit-dev/tstrait/blob/main/LICENSE) [![PyPI version](https://img.shields.io/pypi/v/tstrait.svg)](https://pypi.org/project/tstrait/) [![Supported Python Versions](https://img.shields.io/pypi/pyversions/tstrait.svg)](https://pypi.org/project/tstrait/) [![Docs Build](https://github.com/tskit-dev/tstrait/actions/workflows/docs.yml/badge.svg)](https://github.com/tskit-dev/tstrait/actions/workflows/docs.yml) [![Binary wheels](https://github.com/tskit-dev/tstrait/actions/workflows/wheels.yml/badge.svg)](https://github.com/tskit-dev/tstrait/actions/workflows/wheels.yml) [![Tests](https://github.com/tskit-dev/tstrait/actions/workflows/tests.yml/badge.svg)](https://github.com/tskit-dev/tstrait/actions/workflows/tests.yml) [![codecov](https://codecov.io/gh/tskit-dev/tstrait/branch/main/graph/badge.svg)](https://codecov.io/gh/tskit-dev/tstrait)
[![License](https://img.shields.io/github/license/tskit-dev/tstrait)](https://github.com/tskit-dev/tstrait/blob/main/LICENSE) [![PyPI version](https://img.shields.io/pypi/v/tstrait.svg)](https://pypi.org/project/tstrait/) [![Supported Python Versions](https://img.shields.io/pypi/pyversions/tstrait.svg)](https://pypi.org/project/tstrait/) [![Docs Build](https://github.com/tskit-dev/tstrait/actions/workflows/docs.yml/badge.svg)](https://github.com/tskit-dev/tstrait/actions/workflows/docs.yml) [![Tests](https://github.com/tskit-dev/tstrait/actions/workflows/tests.yml/badge.svg)](https://github.com/tskit-dev/tstrait/actions/workflows/tests.yml) [![codecov](https://codecov.io/gh/tskit-dev/tstrait/branch/main/graph/badge.svg)](https://codecov.io/gh/tskit-dev/tstrait)

**tstrait** is a quantitative trait simulator of [tskit](https://tskit.dev) tree sequences. It supports simulation of quantitative traits, sampling genetic effect sizes from various distributions, modelling pleiotropic phenotypes and environmental noise, and computing per‑individual genetic values given the effect sizes of causal mutations.

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