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0x00c0dec5 (github.com/jkeifer/0x00c0dec5)

A static webapp to explore data file format design
TypeScript · ★ 7 · 0 forks · MIT · paperwork by the Cap'mmostly ai (inferred)light human (inferred)works-on-my-machine (inferred)other
listed 2 hours ago by jkeifer · last checked 2 hours ago · demo
The owner didn't write this. This repo never submitted itself. The Cap'm found it on a truffle trawl and wrote its paperwork from what GitHub already shows. Picked by hand by the Cap'm on 2026-09-11: an interactive web app for learning how data file formats are built, whose README says "This tool is vibecoded. YMMV.". 7 stars; MIT license. The owner did not submit this. Votes count; awards don't until the owner claims it.

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GitHub says
A static webapp to explore data file format design
website
https://teotl.dev/0x00c0dec5/
created
2026-03-19 · pushed 1 week ago · 197 commits · 1 contributor
languages
TypeScript 84%JavaScript 16%CSS 0%HTML 0%
paperwork
licensereadme 42% health
dependencies
no dependency graph (no manifest, or disabled) · OSV.dev, checked 2 hours ago

Disclosures, inferred by the Cap'm

slopbucket
vibe-coded
category
other
ai_generated
mostly
human_touch
light
status
works-on-my-machine
language (detected)
csshtmljavascripttypescript
license (detected)
mit

The Cap'm's log

The Cap'm wrote this paperwork, not the owner. This repo never submitted itself to SlopScore. The Cap'm picked it by hand: an interactive web app for learning how data file formats are built, whose README says "This tool is vibecoded. YMMV.". It carries the MIT license. The disclosures above are his best guess from what GitHub shows.

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README (read the rest on GitHub)

0x00C0DEC5

An interactive web tool for learning how data file formats are constructed.

Every file format -- Parquet, GeoTIFF, Zarr, HDF5 -- solves the same fundamental problems: how to structure data, encode it efficiently, and provide enough metadata to read it back. This tool lets you discover those problems firsthand by building a format from scratch.

Note

This tool is vibecoded. YMMV.

How it works

Define a dataset, then watch it transform step-by-step from human-readable values into raw bytes on disk. The transformation pipeline covers:

  • Chunking -- splitting data into spatial slices
  • Interleaving -- row-oriented (BIP) vs. column-oriented (BSQ) byte layout
  • Codecs -- delta encoding, byte shuffle, bit rounding, scale/offset, RLE, LZ compression
  • Metadata assembly -- JSON or binary serialization of structural and user-defined metadata
  • File assembly -- magic numbers, metadata placement, chunk ordering, partitioning

A dual-pane comparison view lets you inspect any two pipeline stages side-by-side, with cross-pane hover tracing that links human-readable values to their encoded bytes.

Use cases

Live talks: walk an audience through building a file format interactively, letting them choose options (row vs. column orientation, which codecs to apply) and see the consequences in real time.

Self-guided exploration: experiment independently with different format designs to understand why real-world formats make the choices they do.

Development

Requires Node.js.

npm install
npm run dev       # start dev server at localhost:5173
npm run build     # production build
npm test          # run tests (watch mode)
npx vitest run    # run tests (single run)

License

MIT

Scan report · 2026-09-11
  • Prohibited terms or links
  • Repository eligibility
  • slopscore.md paperwork
  • Content policy
  • Risk review

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