pgx
PGX — Lightweight Postgres for AI agents. Written in Rust. Thousands of isolated databases in one runtime. 🐘
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NEBULA3D — *Neutron Elastic Background Utility for Local Analysis and 3D-ΔPDF* — is a Python toolkit (the nebula3d package) for cleaning 3D reciprocal-space neutron diffuse scattering volumes and preparing them for 3D-ΔPDF analysis.檢視完整 README ↗
NEBULA3D (Neutron Elastic Background Utility for Local Analysis and 3D-ΔPDF) is a Python package and browser console that cleans 3D reciprocal-space diffuse-scattering volumes, neutron or X-ray, into real-space 3D-ΔPDF maps, with an AI agent that assesses and tunes the reduction with you.
Try it in the browser: https://drthyang.github.io/nebula3d/ runs the whole pipeline client-side; nothing is uploaded.
NEBULA Pilot on the built-in synthetic demo volume (simulated data, not measured), with a local model. A time-lapse: the waits for the model are sped up.
flatten stage), the
3D-ΔPDF transform and a back-FFT consistency check
(the pipeline).nebula3d-web serves the same console natively, with no size limit.LoadMD opens.Open https://drthyang.github.io/nebula3d/, load the built-in demo volume
(Use demo) or your own .nxs/.h5, and press Run pipeline.
To run it natively, from a clone (Python 3.10+ and Node.js):
pip install -e ".[web]"
make web-install && make ui # build the console once
nebula3d-web # serves http://127.0.0.1:8000
More, including the batch scripts: QUICKSTART.md.
An agent docked beside every page. Connect a local model (Ollama, LM Studio) or a cloud one (OpenAI, Gemini, Anthropic): it measures cuts, judges each stage, runs and tunes the pipeline, and shows you the figures it reads. Every number comes from deterministic metrics, and each answer is checked against the tools' results before you read it. Its tools, guardrails and evals: docs/pilot.md.
Beta: the latest release is 0.3.0, and main carries the 0.4.0 work
(CHANGELOG.md). CI runs the Python tests on 3.10–3.13 with
ruff and mypy, and the console's tests and builds, including replays of the
agent's evals (docs/development.md).
Copyright (C) 2026 Tsung-han Yang.
This project is licensed under the GNU Affero General Public License v3.0 or later.
This is an independent personal software project. It is not affiliated with, sponsored by, endorsed by, funded by, developed for, or owned by any employer, institution, laboratory, university, government agency, funding organization, facility, or other organization.
Commercial, closed-source, proprietary, or alternative licensing may be available only by separate written permission from the copyright holder.
See PROVENANCE.md for the project provenance statement.