{"repo":"olirice/flupy","free":true,"listed":false,"github":"https://github.com/olirice/flupy","clone":"git clone https://github.com/olirice/flupy.git","description":"Fluent data pipelines for python and your shell","language":"Python","stars":195,"topics":["python","data-pipeline","fluent","collections"],"license":null,"category":"data-pipelines","readme_excerpt":"flupy --- Documentation : https://flupy.readthedocs.io/en/latest/ Source Code : https://github.com/olirice/flupy --- Overview Flupy implements a fluent interface for operating on python iterables. All flupy methods return generators and are evaluated lazily. This allows expressions to transform arbitrary size data in extremely limited memory. You can think of flupy as a light weight, 0 dependency, pure python alternative to the excellent Apache Spark project. Setup Requirements Python 3.10+ Installation Install flupy with pip: Library CLI The flupy command line interface brings the same syntax for lazy piplines to your shell. Inputs to the flu command are auto-populated into a Fluent context named .","default_branch":null,"files":null,"tree":[],"storefront":"/r/olirice","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/olirice/flupy/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}