AddMaple won the Paddle AI Launchpad competition out of 77 startups!
AddMaple V3 is here! Learn more
Open Source
We build on open source and contribute back with focused, performance-first libraries.
Rust + WASM Parquet reader/writer with typed-array support and snappy compression—lightweight but built for large columnar datasets.
SIMD-accelerated base64 for Node and browsers. Tight inner loops keep encode/decode fast in data-heavy paths.
Fast statistical primitives for JS/WASM: streaming aggregates, quantiles, and summaries that stay accurate on big data.
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.
