parquet-xray
See how a Parquet file is laid out, byte by byte
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GITHUB · launched Sep 28, 2026 · 46 upvotes (top 19%) · 0 views
Niche: developer data and local file viewers · 49 launches, 9 in the last 7 days · Explore this niche →
Category and tags
- Horizontal
- Data infrastructure
- Developer
- Not AI
- Hobby / open-source project
Visit website ↗ Source listing ↗
More like this: all 49 launches in developer data and local file viewers →
Could you build this?
Partial Visualizing file headers and row groups is doable, but accurately parsing arbitrary Apache Parquet binary specifications, Thrift metadata, and page layouts byte-by-byte in a web UI requires deep binary protocol knowledge.
What it would actually take: Requires compiling or binding low-level Parquet libraries (like Apache Arrow/Parquet in Rust compiled to WebAssembly) or writing a specialized Thrift/Parquet byte-offset parser to expose chunk offsets, dictionary pages, and compression metadata to a web visualization frontend like React/D3.
Competitors
Other products that read as similar to this one : 74 launches clear the similarity bar, closest 8 shown.
Attention rank: #14 of 75 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).
Launched 315 days after the earliest competitor.
- Parqeye · hn · 2025-11-17 · 167 upvotes · similarity 0.54
- herringbone · github · 2026-09-30 · 18 upvotes · similarity 0.48
- ParqDB · hn · 2026-08-21 · 26 upvotes · similarity 0.45
- peep · github · 2026-09-18 · 53 upvotes · similarity 0.45
- parquet-schema-check · github · 2026-09-25 · 20 upvotes · similarity 0.45
- Galois connections for composable numeric casts in Rust · hn · 2026-07-16 · 31 upvotes · similarity 0.38
- wispbyte-xray-ws-skill · github · 2026-10-27 · 22 upvotes · similarity 0.36
- fframes-components · github · 2026-10-13 · 23 upvotes · similarity 0.36
The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.