ori 0.1.0

Concurrency tools for Python.

Ori is a high-level wrapper around Python’s concurrent.futures module, designed to make multithreading and multiprocessing as easy as possible.

Frequently Asked Questions (FAQs)

Who made Ori?

Ori was written by James Mishra and incubated at Neocrym, a record label that uses artificial intelligence to find and promote musicians. Neocrym heavily relies on Ori to make their I/O-bound Python code run faster.

The source code for Ori is owned by Neocrym Records Inc, but licensed to Ori under the MIT License.

Why should I use Ori over directly interfacing with `concurrent.futures`?

The Python module concurrent.futures was introduced as a high-level abstraction over lower-level interfaces like threading.Thread and multiprocessing.Process. However, concurrent.futures merely moves the problem away from managing threads or processes to managing executors. Ori has the ambitious goal of also abstracting away the executors–making multithreading or multiprocessing no harder than writing single-threaded code.

Is Ori a good replacement for Python’s asyncio?

For the hardcore asyncio user, probably not. Ori is focused on providing high-level abstractions over Python’s concurrent.futures module that provides speed boosts for synchronous, I/O-bound Python.

Where did the name “Ori” come from?

The name “Ori” is a reference to the god-like villains in the Stargate TV shows. There is no meaningful connection between the villains or concurrency.