Taupym

Taupym is a fictional open-source software library used to illustrate a wiki-style article about a time-aware planning toolkit. It provides a Python interface for constructing task graphs with temporal constraints, resources, and probabilistic delays, and for generating feasible schedules or dispatching plans in manufacturing, logistics, and research workflows.

Overview: Taupym features a modular architecture with a core planning engine, a constraints layer, and adapters for data sources and solvers. It supports time window specifications, precedence and resource constraints, uncertainty modeling, and multiple objective optimization, such as minimizing makespan or tardiness. The library offers heuristics, exact search, and local search methods, together with utilities for data preparation, visualization, and export of plans to common formats.

Implementation and use: The library is implemented in Python and aims for compatibility with NumPy and pandas. Users define models via a declarative API or by translating existing project data into YAML or JSON descriptions. Taupym can connect to external solvers (for example, OR-Tools) and can run in batch or interactive modes, with emphasis on reproducibility through seed control and experiment tracking.

Development and licensing: The project is described as MIT-licensed and hosted on a public code repository with continuous integration, unit tests, and contribution guidelines. Documentation includes tutorials, API references, and examples to help new users get started.

Notes: Taupym is a fictional concept created for illustrative purposes and is not a real software project.