ProcessScheduler - A python framework for scheduling and resource allocation

What is it intended for?

ProcessScheduler is a versatile Python package designed for creating optimized scheduling in various industrial domains, including manufacturing, construction, healthcare, and more.

Who is it intended to?

Project managers, business organization consultants, industrial logistics experts, teachers and students.

Core Features: Versatility and Dependability

Versatility: At its core, ProcessScheduler acts as a bridge between specific business requirements and their mathematical representations. It leverages a collection of versatile, business-focused generic classes to represent a broad spectrum of scheduling challenges, effectively translating them into solvable mathematical models.

Dependability: The reliability of ProcessScheduler is fortified through several key aspects:

• Utilization of the renowned Pydantic Python package for class construction, ensuring robust data validation and settings management.

• A comprehensive suite of unit tests, with the test code volume surpassing the core code by 1.5 times, exemplifying thorough testing protocols.

• High code quality, ranked 'A' rank on Codacy, an automated code review service.

• Almost total code coverage, reaching over 99%, demonstrating the thoroughness of testing and reliability.

• Continuous integration via Microsoft Azure, ensuring consistent and reliable updates and maintenance.

Prerequisites

No need to be an expert. To effectively utilize ProcessScheduler, users are expected to have a moderate level of proficiency in both Python programming and the fundamentals of scheduling algorithms.