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arrow

Apache Arrow is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. It also provides computational libraries and zero-copy streaming messaging and interprocess communication. Languages currently supported include C, C++, Java, JavaScript, Python, and Ruby.

data-apis.github.io

dataframe-api

RFC document, tooling and other content related to the dataframe API standard

dataframe-api-compat

Extremely lightweight compatibility layer between pandas and Polars

dataframe-interchange-tests

Test suite for the dataframe interchange protocol

dfsql

SQL interface to Pandas

distributed

A distributed task scheduler for Dask

fuzzydata

Fuzzy Data Benchmark

hdk

A low-level execution library for analytic data processing.

hpat

A compiler-based big data framework in Python

ibis

A pandas-like deferred expression system, with first-class SQL support

icl

Infrastructure Control Language

intelseapi

IntelSEAPI

modin

Modin: Speed up your Pandas workflows by changing a single line of code

modin-bench

modin-bench-results

Modin benchmark results

modin-feedstock

A conda-smithy repository for modin.

omniscripts

Scripts to benchmark omniscidb

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

plotly.py

The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

pymapd

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

rhoc

Rapid HPC Orchestration in the Cloud

tpch