Results for fast_csv_parse

High-performance CSV parsing using Rust & WebAssembly for optimized speed in both Rust and JavaScript environments.

Fast CSV parsing with support for serde.

A fast SIMD parser for CSV files as defined by RFC 4180, based on simdcsv (C++)

AI/Human task management system with file-based storage

AXON v1.5.1 — first crates.io publication of the AXON language full-stack runtime. Lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the native Rust runtime: typed channels (TypedEventBus with QoS×5, π-calculus mobility, capability extrusion via shield D8 — Fase 13.f.2), Free Monad CPS handlers (Fase 2), lease kernel + reconcile loop (Fase 3+5), Epistemic Security Kernel (ESK Fase 6), Trust Types + ReplayLog (Fase 11.a+11.c), Stateful PEM over WebSocket (Fase 11.d), Ontological Tool Synthesis (Fase 11.e), Mobile Typed Channels (Fase 13). Crate publishes as `axon-lang` to mirror the Python PyPI package; library import remains `use axon::*` so existing call sites keep working unchanged.

High-performance, event-driven HFT backtesting engine. Supports tick data and strict spread simulation.

Library for parsing CSV files using memory-mapped I/O, with low alloc, and AVX2/NEON support

Specialized Rust CSV readers/writers leveraging SIMD instructions.

A CSV linter that validates CSV files according to RFC 4180

High-performance incremental CSV parser for the oak ecosystem with flexible configuration, optimized for data parsing and tabular data processing.

High-performance incremental DSV (Delimiter-Separated Values) parser for the oak ecosystem with flexible configuration, optimized for data parsing and tabular data processing.

High-performance incremental TSV (Tab-Separated Values) parser for the oak ecosystem with flexible configuration, optimized for data parsing and tabular data processing.

Library for parsing CSV files. It focuses on high throughput, low memory, and correctness by default.