Columnar Python Packages

awkward0

Manipulate arrays of complex data structures as easily as Numpy.

ansitable

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

namidb

Graph database native to the cloud. Embedded, multi-tenant, built on object storage.

rayforce-py

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

uni-db

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

uni-db-onnx

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

uni-db-onnx-cuda

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

uni-db-cuda

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

uni-db-metal

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

uni-db-onnx-metal

Uni is a modern, embedded database that combines property graph (OpenCypher), vector search, and columnar storage (Lance) into a single, cohesive engine. It is designed for applications requiring local, fast, and multimodal data access, backed by object storage (S3/GCS) durability.

awkward-numba

Manipulate arrays of complex data structures as easily as Numpy.

uni-pydantic

Pydantic-based OGM (Object-Graph Mapping) for Uni Graph Database

ifclite-geom

Parse, view, query, edit, and export IFC, IDS, BCF, pointclouds and more AEC stuff. In the browser, server or desktop.

roapi

Create full-fledged APIs for slowly moving datasets without writing a single line of code.

columnq-cli

No description available

roapi-http

No description available

minarrow

Fast, minimal, and ergonomic zero-copy Apache Arrow tabular data implementation in Rust, with PyO3, Python bindings, shared-memory and low-latency SIMD for data-engineering and columnar workloads. Bridge to Polars and Arrow-rs over FFI effortlessly.

liquefy

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

lastra-convert

Python CLI to convert between Lastra and Parquet/CSV/Arrow. Mirror of QTSurfer/lastra-convert (Java).

lastra

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.

columnflow

columnflow