Manipulate arrays of complex data structures as easily as Numpy.

Backend for columnar, fully orchestrated HEP analyses with pure Python, law and order.

Quick, easy and pretty display of tabular data or matrices, with optional ANSI color and borders

High-performance and powerful Python DataFrame library built on top of RayforceDB

API for distributing Data Lake Data

Columnar compression that beats Zstd on structured data — up to 61x on JSON. Built-in search. AES-256-GCM. MIT.

Python function to print a list of items in a columnar format for easy reading.

Cryptography

Python reader and writer for the Lastra columnar time series file format. Per-column codec selection (ALP, Gorilla, Pongo, delta-varint, VARLEN). Bit-exact compatible with lastra-java.

row oriented to column oriented

A pure-Python columnar storage engine and file format — a tiny, readable Parquet. Encodings, compression, row groups, projection & predicate pushdown. Zero dependencies.

CLI converter for the Lastra columnar time series file format. Parquet / CSV / Arrow ↔️ Lastra round-trips.