Link: GitHub repository Docs: Read the Docs
This GitHub project provides a Python library for generating DFS lineups programmatically. It is designed to support reproducible lineup building, where you define the site rules, load projections, apply constraints, then generate outputs in a consistent and repeatable way. For a curated collection, it fits as a tooling source because it turns lineup construction into something you can run, audit, and compare across slates. It also connects well with academic optimization sources since it gives a practical way to implement similar concepts.
This source is useful for DFS players who code, analysts building repeatable experiments, and students learning how constraints and optimization show up in real applications. It is also useful for anyone who wants to reduce manual lineup building time.
Limitations include input dependency and setup friction. Results depend on the quality of projections and constraints, and the tool assumes comfort with Python environments.