Add Maple

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Open Source

We build on open source and contribute back with focused, performance-first libraries.

@addmaple/parquet-liteParquet · WASM

Rust + WASM Parquet reader/writer with typed-array support and snappy compression—lightweight but built for large columnar datasets.

@addmaple/base64-simdSIMD · base64

SIMD-accelerated base64 for Node and browsers. Tight inner loops keep encode/decode fast in data-heavy paths.

@addmaple/statsStats · JS/WASM

Fast statistical primitives for JS/WASM: streaming aggregates, quantiles, and summaries that stay accurate on big data.

@addmaple/wasm-fast-compressCompression · WASM

Lightweight WASM compression helpers tuned for bundle size and throughput when moving data across the wire or into storage.

What we build on

  • Web platform: Next.js, React, Headless UI, Vercel Analytics.
  • Data + viz: Vega/Vega-Lite, D3, ECharts, csv-parse/stringify.
  • Storage + ORM: Drizzle ORM, better-sqlite3.
  • Validation + state: Zod/Valibot, Redux Toolkit, SWR, Ramda.

We upstream fixes when we hit edge cases and publish tools that can help others. Contact opensource@addmaple.com if you’d like to collaborate.

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