Pure Node.js // Zero Dependencies // Columnar Engine

DATA PROCESSING REIMAGINED

High-performance columnar data engine for Node.js. SharedArrayBuffer + Worker Threads. Built for massive datasets.

$ npm i @cervid/data
5.02s
Load 7.8M rows
0
Dependencies
MIT
License
Performance

BENCHMARK
7,832,546 ROWS

ENGINE RELATIVE TIME TOTAL
@cervid/data
5.02s
Polars (Py)
5.95s
Pandas (Py)
25.80s

CSV · 7.8M rows · Feature Engineering + Filtering. Cervid uses SharedArrayBuffer + Worker Threads.

v1.0.0 // LIVE

@cervid/data

Core columnar engine. Load, filter, group, and aggregate CSV/JSON with zero overhead.

CSVJSONSAB
BUILDING // PROTOTYPE

@cervid/decomposer

Binary format reader: Parquet, Arrow IPC, Avro. Pure Node.js, no native modules.

ParquetArrow
> CERVID_PROJECT_MANIFESTO
└─ @cervid/vision ← Image processing