Search results for 'Parser::process_data'

MRT/BGP/BMP data processing library

Shiva library: Implementation in Rust of a parser and generator for documents of any type

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 to process archive bundles from social platforms

A tool that processes detailed data about Apple products(Iphones, MacBooks and IPads)

JSON-Sift is my first parser. It processes aviation weather data (METAR) used in civil flights, decoding abbreviations and transforming raw API data into structured CSV format for easier analysis.

A parser of different cryptocurrencies

A secure, high-performance messaging protocol library

High-performance AI coding agent CLI - Rust port of Pi Agent

AI/Human task management system with file-based storage

A highly parallel Perl 5 interpreter written in Rust

AXON — the formal cognitive language: a deterministic, proof-carrying AI runtime. Native Rust lexer/parser/type-checker/IR generator (re-exported from axon-frontend) plus the runtime: typed channels (π-calculus mobility, capability extrusion), algebraic effects via Free Monad CPS handlers, lease kernel + reconcile loop, the Epistemic Security Kernel, Trust Types, Proof-Carrying Code (independently verifiable proof objects), and the closed-catalog extension mechanism. Crate publishes as `axon-lang`; library import is `use axon::*` so existing call sites keep working unchanged.

Columnar storage primitives (Column, ValidityMask) for pandas-parity dataframes — the storage layer behind fp-frame.

Differential conformance harness for frankenpandas against a live pandas oracle — packet fixtures + fuzz seed tests + live-oracle parity gates.

Expression evaluation / query parser for fp-frame DataFrames — pandas df.eval / df.query parity.

DataFrame and Series with pandas-API parity, AACE index alignment, and GroupBy / Rolling / Resample integration.

FrankenTUI terminal interface for interactive fp-frame / frankenpandas workflows.

GroupBy engine for fp-frame with dense-key / arena-backed / hash-map execution paths.

Flat and multi-level row index types (Index, MultiIndex) for pandas-parity dataframes.

IO layer for frankenpandas: CSV, JSON, JSONL, Parquet, ORC, HDF5, Excel, Feather, Arrow IPC, Pickle, Stata, SQL (SqlConnection with SQLite default backend).

Merge and join engine (AG-05 leapfrog triejoin) for fp-frame DataFrames — inner / left / right / outer joins with index alignment.

PyO3 Python bindings for FrankenPandas — import frankenpandas from Python

Runtime policies, evidence ledgers, and asupersync interop for the frankenpandas execution layer.

Core Scalar, DType, NullKind primitives for the frankenpandas workspace — the universal type system behind fp-frame.

Clean-room Rust reimplementation of the pandas API — DataFrame, Series, GroupBy, Rolling, Resample, MultiIndex, 8 IO formats. Zero unsafe.

Pure-Rust EVC (MPEG-5 Essential Video Coding, ISO/IEC 23094-1) decoder — baseline + main profile. Round-1 scaffold: NAL + parameter-set parsing only; pixel decode pending.

Opus audio codec — orphan-rebuild scaffold pending clean-room re-implementation.

S4 — Squished S3 — GPU-accelerated transparent compression S3-compatible storage gateway (cargo install s4-server installs the `s4` binary).