pgx
PGX — Lightweight Postgres for AI agents. Written in Rust. Thousands of isolated databases in one runtime. 🐘
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一分钟完成验证Free, cross-platform XPS (X-ray photoelectron spectroscopy) peak-fitting app with a built-in fit auditor and a citation-backed reference database - the modern XPSPEAK 4.1 replacement. macOS & Windows, GPLv3.
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查看完整 README ↗Free, cross-platform XPS peak-fitting for macOS & Windows — with a built-in fit auditor and a citation-backed reference database. The modern replacement for XPSPEAK 4.1.
The alpine pika lives on rocky peaks — a fitting mascot for a peak-fitting tool. (Always one word: PikaXPS.)
PikaXPS reproduces the familiar XPSPEAK workflow with a modern interface, then goes further: it doesn't just let you fit X-ray photoelectron spectroscopy data — it checks whether your fit is physically and statistically defensible, and it knows the literature binding energies so you don't have to look them up.
Free and open source (GPLv3). Academic use is free forever. No account, no limits, no ads on the download — and no 5,000-point / 51-peak ceiling like XPSPEAK.
| PikaXPS | XPSPEAK 4.1 | CasaXPS | KherveFitting / LG4X | |
|---|---|---|---|---|
| Price | Free (OSS) | Free | €830+ (academic) | Free (OSS) |
| macOS native | ✅ | ❌ (Windows only) | ❌ (emulation) | ✅ |
| Built-in fit auditor | ✅ | ❌ | ❌ | ❌ |
| Citation-backed reference DB | ✅ | ❌ | partial | ❌ |
| One-click fitting recipes | ✅ | ❌ | ✅ | ❌ |
| Doublet + satellite peak types | ✅ | limited | ✅ | partial |
| Actively maintained | ✅ | ❌ (1999) | ✅ | ✅ |
~/.xpsfit/user_refdb.json, kept across updates..dat/.txt/.csv/.xlsx/.xls, Thermo Avantage multi-sheet exports, VAMAS .vms, or
paste two columns straight from Excel/Origin. KE→BE conversion built in.Download the latest signed build from the Releases page:
PikaXPS.app to Applications, first launch via right-click → Open.PikaXPS.exe from the extracted folder ("More info → Run anyway" on
the first SmartScreen prompt).No Python install required.
git clone https://github.com/taeheekim2024-star/pikaxps && cd xpsfit
python -m venv .venv && . .venv/bin/activate
pip install -e .
python -m xpsfit.app
This tool grows from its users:
If PikaXPS helped your work, please cite it (see CITATION.cff). A software paper with a DOI is in preparation; until then, cite the repository and release version.
GPLv3 (see LICENSE). Academic and non-commercial use is free, forever. Commercial use is currently also free under the GPLv3 until a commercial license is established — see COMMERCIAL-LICENSE.md. Third-party components and reference-data sources are listed in THIRD-PARTY-LICENSES.txt.
Names and marks. The GPLv3 covers the code, not the name. "PikaXPS", the pika mascot and the app icon identify the official project; forks must use their own name and icon, and must keep the "Based on PikaXPS" credit in their About box and docs (GPLv3 §7(b) additional terms — see NOTICE and TRADEMARK.md). Official builds are published only on the releases page.
PikaXPS has no account, no telemetry and no ads. The only network request it makes is, at
startup, one GET of a static file — https://taeheekim2024-star.github.io/pikaxps/notice.json — so the
project can announce a release or a paper to cite. The file is {} unless there is news; nothing
is sent back; and Help ▸ Show notices from the project turns it off.
Maintained part-time by a single developer. Released as stable open source: if updates slow, the tool remains usable and the source stays available. Reference-data values are literature starting points — always verify assignments against the cited sources before publication.
M. C. Biesinger et al. (Appl. Surf. Sci. 2010/2011; Surf. Interface Anal. 2009) · J. F. Moulder et al., Handbook of XPS (1992) · NIST XPS Database SRD 20 · J. H. Scofield (1976) RSFs.