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WonderPhi Library — 25 Ready-Made Recipes for WonderPhi Compute
Publicly online since 2010 · U.S. patent applications since 2012 · inventions offered since 2014. The work of Christopher Gabriel Brown, independently documented.
Verified performance — measured on real hardware
On a dual Xeon Gold 6138T workstation (40 physical / 80 logical cores):
- The Library’s AV1 recipe picks
libsvtav1overlibaom-av1automatically — that choice alone is 17.8× faster on the same content (220s → 12s for a 30-second 1080p clip). - Batch-mode: 6 parallel AV1 encodes via a Library-generated plan complete in 24s (223 fps aggregate) — 3.1× over 6 sequential encodes.
The Library’s value is picking the right encoder + tuning the right flags automatically. Full benchmark methodology ships in BENCHMARKS.md with WonderPhi Compute.
New here? Read this first — in plain English
What it is: a book of ready-made “recipes” for WonderPhi Compute. It writes the parallel plan for you, so you never have to hand-craft one.
Why you want it: WonderPhi Compute runs shell commands across every CPU core, but someone has to write the plan. The Library is that someone. Point a recipe at a folder, get a tuned plan back — the good flags already filled in for you.
Three steps:
python wpc-recipe.py --list— see every recipe.python wpc-recipe.py <recipe> <folder>— get a.plan.wpc.txt.- Feed the plan to WonderPhi Compute (or drop it into
wpc-inbox\if you have the always-on watcher).
The promises: zero dependencies (Python standard library only), no internet, no telemetry, never self-updates. It reads a folder and writes a text file. WonderPhi Compute does the actual running — this Library never modifies wpc.exe, so the 10 Commandments stay intact.
WonderPhi Library v1.0.0 — 25 Ready-Made Recipes
You have 500 videos to transcode. You don't sit down and write a plan. You run one line:
python wpc-recipe.py ffmpeg-h264 .\videos
… and out comes videos.plan.wpc.txt — one tuned command per file, ready to feed straight to WonderPhi Compute, which runs them across every core you own.
What's in the book
25 recipes across 8 categories. Every recipe drives a program you already use (ffmpeg, ImageMagick, pdftotext, 7-Zip, curl, git, pytest, and the obvious NVIDIA GPU jobs). Every one ships with the tuned command line ready to go.
| Category | Recipes |
|---|---|
| Media | ffmpeg-h264, ffmpeg-audio, ffmpeg-thumb, ffmpeg-gif |
| Images | img-resize, img-webp, img-thumb, img-compress |
| Documents | pdf-text, pdf-compress, pandoc-pdf, pandoc-docx |
| Archives | zip-each, unzip-each |
| Integrity | sha256 (with combined manifest), md5 |
| Web | curl-check, curl-get |
| Dev | pytest-dirs, git-gc, git-pull |
| GPU (NVIDIA) | ffmpeg-nvenc, ffmpeg-nvenc-hevc, whisper, realesrgan |
Requires WonderPhi Compute
The Library generates plans. WonderPhi Compute runs them across every core. The two are companions — Library alone is a nice-to-have; with Compute it's the whole point.
The individual programs each recipe drives (ffmpeg, magick, 7z, pandoc, etc.) also need to be on your PATH for that recipe to work — each recipe's header line tells you which one.
The honest list
- Python 3.8+ on your machine (standard library only — no
pip install). - No internet access at any point. No telemetry. No account.
- Perpetual license — one payment, runs forever on your own equipment.
- Version 1.0.0 is permanent. Future WonderPhi Library releases are separate SKUs.
- USA-only sales. United States Dollars only. Email-only contact.
© Christopher Gabriel Brown 2026. All rights reserved.
