Traits and types to implement type-pinned length constraints in your API
An on-chain randomness service for Solana programs
An on-chain randomness service for Solana programs
PLONKish circuit system built on comp-cat-rs: circuits as morphisms in a free category
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.
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.
GroupBy engine for fp-frame with dense-key / arena-backed / hash-map execution paths.
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.
Expression evaluation / query parser for fp-frame DataFrames — pandas df.eval / df.query parity.