Stockpyl

5.2easy start · #25 of 26
in Inventory Optimization Software

Runs on api, Linux.

Stockpyl is ranked #25 of 26 in inventory optimization software on The Geeks Club. It runs on API, Linux. There is a free plan.

Stockpyl plans and pricing

Stockpyl Free Open-source Python package · MIT License github.com · 4 Oct 2026

ZebraDesigner 0 of 4 in the starter kit Lesson 17.8 Lokad 0 of 4 in the starter kit Lesson 26.9 Sophus Inventory Optimization 0 of 4 in the starter kit Lesson 36.9 Flowlity 0 of 4 in the starter kit Lesson 46.7 Creo 0 of 4 in the starter kit Lesson 56.5 Manhattan Active Inventory Replenishment 0 of 4 in the starter kit Lesson 66.5

Purpose: Stockpyl is a Python package for inventory optimization and simulation.
Single-node models: It implements economic order quantity, newsvendor, and Wagner-Whitin inventory models.
Simulation: It has features for simulating multi-echelon inventory systems.
Optimization methods: Its documented methods include dynamic programming for Wagner-Whitin and finite-horizon stochastic inventory problems.
Network models: It documents algorithms for serial systems and acyclical guaranteed-service systems.
Distribution: The installation guide says Stockpyl is available on PyPI and installs with `pip install stockpyl`.
Python requirement: The installation guide requires Python v3.7 or later.
License: The project describes itself as open-source and released under the MIT License.
Documentation: The project links to documentation covering tutorials and API modules for optimization, simulation, and supply-chain data structures.
Support: The project directs users to GitHub Issues for feedback and problems, with email as an alternative.
Audience: PyPI classifies the project under education, office/business, and scientific/engineering topics.
Maker: The package credits Lawrence V. Snyder as its author.
Price from: Free

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