Data●●●Banger
Sketchlog – 100M events compressed to 93 KB using streaming sketches
100M events to 93 KB with constant memory using probabilistic sketches.
WizardryBig Brain
BALAVIGNESH321
106d ago
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GitHub Repository
A fast, modern and low-memory approach to processing a big JSON
1 starsTypeScript
bote - A fast, modern and low-memory approach to processing a big JSON
by jankdc·Jun 18, 2026·3 points·1 comment
AI Analysis
●●SolidBig Brain
Processes 181MB JSON in 40MB memory where JSON.parse needs 648MB.
Strengths
- •Concrete benchmarks show 0.5s vs 0.8s and 40MB vs 648MB memory footprint.
- •Modern AsyncIterator API with tc39 proposal helpers.
- •Supports multiple sources including HTTP range requests.
Weaknesses
- •JSON streaming is a solved category with JSONStream, oboe.js, stream-json.
- •ESM-only and Node 22+ requirement limits adoption.
Category
Target Audience
Backend developers processing large JSON datasets
Similar To
JSONStream · oboe.js · stream-json
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