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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>PyAuto — open-source astronomy & Bayesian inference software</title>
<meta name="description" content="The PyAuto software stack: PyAutoFit (probabilistic programming), PyAutoGalaxy (galaxy morphology) and PyAutoLens (strong gravitational lensing), accelerated by JAX on GPUs.">
<style>
:root {
--bg: #ffffff;
--bg-alt: #f6f6fa;
--text: #1c1e26;
--text-soft: #555a6e;
--line: #e4e4ee;
--brand: #7c4dff;
--fit: #e0700e;
--galaxy: #0d9488;
--lens: #7c4dff;
--card-bg: #ffffff;
--code-bg: #f0f0f6;
}
@media (prefers-color-scheme: dark) {
:root {
--bg: #14151a;
--bg-alt: #1b1d24;
--text: #e8e8ef;
--text-soft: #a0a4b8;
--line: #2a2d38;
--brand: #9d7aff;
--fit: #f28c38;
--galaxy: #2dd4bf;
--lens: #9d7aff;
--card-bg: #1b1d24;
--code-bg: #23252e;
}
}
* { margin: 0; padding: 0; box-sizing: border-box; }
body {
font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Helvetica, Arial, sans-serif;
background: var(--bg);
color: var(--text);
line-height: 1.6;
}
a { color: var(--brand); text-decoration: none; }
a:hover { text-decoration: underline; }
.wrap { max-width: 1060px; margin: 0 auto; padding: 0 1.25rem; }
header.hero {
padding: 4.5rem 0 3.5rem;
text-align: center;
background:
radial-gradient(ellipse 60% 50% at 50% -10%, color-mix(in srgb, var(--brand) 18%, transparent), transparent),
var(--bg);
border-bottom: 1px solid var(--line);
}
.hero h1 {
font-size: clamp(2.4rem, 6vw, 3.6rem);
letter-spacing: -0.02em;
font-weight: 800;
}
.hero h1 .py { color: var(--text-soft); font-weight: 600; }
.hero p.tag {
max-width: 46rem;
margin: 1.1rem auto 0;
font-size: 1.15rem;
color: var(--text-soft);
}
.hero .cta { margin-top: 1.8rem; display: flex; gap: 0.75rem; justify-content: center; flex-wrap: wrap; }
.btn {
display: inline-block;
padding: 0.55rem 1.15rem;
border-radius: 8px;
border: 1px solid var(--line);
color: var(--text);
font-weight: 600;
font-size: 0.95rem;
}
.btn:hover { border-color: var(--brand); text-decoration: none; }
.btn.primary { background: var(--brand); border-color: var(--brand); color: #fff; }
.btn.primary:hover { filter: brightness(1.08); }
section { padding: 3rem 0; }
section h2 { font-size: 1.6rem; letter-spacing: -0.01em; margin-bottom: 0.4rem; }
section p.lead { color: var(--text-soft); max-width: 44rem; margin-bottom: 2rem; }
.cards { display: grid; grid-template-columns: repeat(auto-fit, minmax(280px, 1fr)); gap: 1.1rem; }
.card {
background: var(--card-bg);
border: 1px solid var(--line);
border-radius: 12px;
padding: 1.4rem 1.4rem 1.2rem;
display: flex;
flex-direction: column;
border-top: 3px solid var(--accent, var(--brand));
}
.card h3 { font-size: 1.25rem; margin-bottom: 0.35rem; }
.card h3 a { color: var(--text); }
.card .dot { display: inline-block; width: 0.6em; height: 0.6em; border-radius: 50%; background: var(--accent, var(--brand)); margin-right: 0.45em; }
.card p { color: var(--text-soft); font-size: 0.95rem; flex: 1; }
.card .links { margin-top: 1rem; display: flex; flex-wrap: wrap; gap: 0.35rem 0.9rem; font-size: 0.9rem; font-weight: 600; }
.card code.pip {
display: block;
margin-top: 0.9rem;
background: var(--code-bg);
border-radius: 6px;
padding: 0.45rem 0.7rem;
font-size: 0.85rem;
font-family: ui-monospace, SFMono-Regular, Menlo, Consolas, monospace;
color: var(--text);
overflow-x: auto;
white-space: nowrap;
}
.fit { --accent: var(--fit); }
.galaxy { --accent: var(--galaxy); }
.lens { --accent: var(--lens); }
.alt { background: var(--bg-alt); border-top: 1px solid var(--line); border-bottom: 1px solid var(--line); }
.two-col { display: grid; grid-template-columns: repeat(auto-fit, minmax(300px, 1fr)); gap: 1.1rem; }
.mini {
background: var(--card-bg);
border: 1px solid var(--line);
border-radius: 12px;
padding: 1.2rem 1.3rem;
}
.mini h3 { font-size: 1.05rem; margin-bottom: 0.3rem; }
.mini p { color: var(--text-soft); font-size: 0.92rem; }
.mini .links { margin-top: 0.7rem; font-size: 0.9rem; font-weight: 600; display: flex; flex-wrap: wrap; gap: 0.35rem 0.9rem; }
footer {
padding: 2.5rem 0 3rem;
color: var(--text-soft);
font-size: 0.9rem;
text-align: center;
}
footer .links { margin-bottom: 0.6rem; display: flex; justify-content: center; gap: 1.2rem; flex-wrap: wrap; font-weight: 600; }
</style>
</head>
<body>
<header class="hero">
<div class="wrap">
<h1><span class="py">Py</span>Auto</h1>
<p class="tag">
Open-source software for astronomy and Bayesian inference: compose and fit
probabilistic models, measure galaxy morphology, and model strong
gravitational lenses — accelerated by JAX on GPUs.
</p>
<div class="cta">
<a class="btn primary" href="https://pyautolens.readthedocs.io/en/latest/">Get started with PyAutoLens</a>
<a class="btn" href="https://github.com/PyAutoLabs">GitHub organisation</a>
</div>
</div>
</header>
<section>
<div class="wrap">
<h2>The stack</h2>
<p class="lead">
Three packages, one design: each layer is usable on its own, and each builds
on the one before it.
</p>
<div class="cards">
<div class="card fit">
<h3><span class="dot"></span><a href="https://pyautofit.readthedocs.io/en/latest/">PyAutoFit</a></h3>
<p>
A probabilistic programming language for model composition and fitting:
build models from Python classes, fit them with nested sampling, MCMC or
maximum-likelihood searches, and manage large fitting campaigns with
databases and graphical models.
</p>
<div class="links">
<a href="https://pyautofit.readthedocs.io/en/latest/">Docs</a>
<a href="https://github.com/PyAutoLabs/PyAutoFit">GitHub</a>
<a href="https://github.com/PyAutoLabs/autofit_workspace">Examples</a>
<a href="https://github.com/PyAutoLabs/HowToFit">HowToFit course</a>
</div>
<code class="pip">pip install autofit</code>
</div>
<div class="card galaxy">
<h3><span class="dot"></span><a href="https://pyautogalaxy.readthedocs.io/en/latest/">PyAutoGalaxy</a></h3>
<p>
Galaxy morphology and structure: light and mass profiles,
multi-wavelength imaging and interferometry, and automated fitting of
large galaxy samples — from parametric profiles to pixelised
reconstructions.
</p>
<div class="links">
<a href="https://pyautogalaxy.readthedocs.io/en/latest/">Docs</a>
<a href="https://github.com/PyAutoLabs/PyAutoGalaxy">GitHub</a>
<a href="https://github.com/PyAutoLabs/autogalaxy_workspace">Examples</a>
<a href="https://github.com/PyAutoLabs/HowToGalaxy">HowToGalaxy course</a>
</div>
<code class="pip">pip install autogalaxy</code>
</div>
<div class="card lens">
<h3><span class="dot"></span><a href="https://pyautolens.readthedocs.io/en/latest/">PyAutoLens</a></h3>
<p>
Strong gravitational lensing: ray-tracing, lens modeling and source
reconstruction for imaging, interferometry and point sources, built for
the large lens samples of Euclid, Rubin and the SKA.
</p>
<div class="links">
<a href="https://pyautolens.readthedocs.io/en/latest/">Docs</a>
<a href="https://github.com/PyAutoLabs/PyAutoLens">GitHub</a>
<a href="https://github.com/PyAutoLabs/autolens_workspace">Examples</a>
<a href="https://github.com/PyAutoLabs/HowToLens">HowToLens course</a>
</div>
<code class="pip">pip install autolens</code>
</div>
</div>
</div>
</section>
<section class="alt">
<div class="wrap">
<h2>Learn and drive PyAuto with AI</h2>
<p class="lead">
Alongside the documentation and tutorial courses, AI is a first-class way to
use PyAuto.
</p>
<div class="two-col">
<div class="mini">
<h3>Ask an AI assistant</h3>
<p>
Point ChatGPT or Claude at the
<a href="https://github.com/PyAutoLabs/autolens_assistant">autolens_assistant</a>
repository and ask your question — it gives the assistant curated,
up-to-date knowledge of the API, the scientific methods and worked
analysis recipes.
</p>
</div>
<div class="mini">
<h3>Run it with an agentic coding tool</h3>
<p>
Agentic tools such as Claude Code or Codex can run PyAuto end-to-end on
your machine: set up an analysis, fit models, and interpret results,
using the same assistant repository as their guide.
</p>
</div>
</div>
</div>
</section>
<section>
<div class="wrap">
<h2>Try it in the browser</h2>
<p class="lead">
No installation needed — the introductory notebooks run on Google Colab.
</p>
<div class="two-col">
<div class="mini">
<h3>PyAutoLens on Colab</h3>
<p>Model your first strong gravitational lens in a browser notebook.</p>
<div class="links">
<a href="https://colab.research.google.com/github/PyAutoLabs/autolens_workspace/blob/main/notebooks/imaging/start_here.ipynb">Open the start-here notebook</a>
</div>
</div>
<div class="mini">
<h3>Tutorial courses</h3>
<p>
Lecture-style Jupyter courses teach each package from first principles:
statistics and model fitting, galaxy structure, and strong lensing.
</p>
<div class="links">
<a href="https://github.com/PyAutoLabs/HowToFit">HowToFit</a>
<a href="https://github.com/PyAutoLabs/HowToGalaxy">HowToGalaxy</a>
<a href="https://github.com/PyAutoLabs/HowToLens">HowToLens</a>
</div>
</div>
</div>
</div>
</section>
<footer>
<div class="wrap">
<div class="links">
<a href="https://github.com/PyAutoLabs">GitHub</a>
<a href="https://pyautofit.readthedocs.io/en/latest/">PyAutoFit docs</a>
<a href="https://pyautogalaxy.readthedocs.io/en/latest/">PyAutoGalaxy docs</a>
<a href="https://pyautolens.readthedocs.io/en/latest/">PyAutoLens docs</a>
<a href="https://github.com/PyAutoLabs/PyAutoLens/blob/main/CITATIONS.md">Citing PyAuto</a>
</div>
<div>PyAuto is developed by James Nightingale, Richard Hayes and contributors, and is free and open source.</div>
</div>
</footer>
</body>
</html>