A small, fast, zero-dependency CSV encoder and parser for TypeScript and JavaScript. RFC 4180 correct, checked against your data, and the same core on Node, browsers, Deno, Bun, and edge.
Column names are checked against your data. A typo or a renamed field is a compile error, not a broken export found in production.
The core imports no fs and no DOM, and streaming returns a Web ReadableStream. One import for Node, the browser, Deno, Bun, and edge.
Parsing streams one record at a time, and encoding does too once columns are declared, so a file or an HTTP body of any size stays at flat memory.
sanitizeFormulas neutralizes spreadsheet formula injection, so you never hand-sanitize cells before an export.
Quoting and escaping follow RFC 4180, so encoding then parsing returns the same rows.
The fastest common parser by a wide margin, and the fastest or on-par encoder, across every benchmark, at about 2 kB per direction with zero dependencies.
import { stringify } from 'csv-pipe';
type User = { name: string; email: string; age: number };
const users: User[] = [
{ name: 'Alex Johnson', email: 'alex@example.com', age: 29 },
{ name: 'Carlos Herrera', email: 'carlos@example.com', age: 24 }
];
stringify(users);
// name,email,age
// Alex Johnson,alex@example.com,29
// Carlos Herrera,carlos@example.com,24The header comes from the record keys, and a field is quoted only when it needs to be.
import { parse } from 'csv-pipe';
type User = { name: string; email: string; age: number };
const users = parse<User>('name,email,age\nAlex Johnson,alex@example.com,29');
parse is the mirror of stringify, typed and streaming, so encode then parse round-trips your rows. Get started, read why csv-pipe, or see the benchmarks.