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Tech riderRev. 4 Oct 2026

Stockpyl

Ch 076.7of 26 Inventory Optimization Software
  1. 1Runs onAPI, Linux
  2. 2CostsFree plan
  3. 3Safety stock optimizationYes
  4. 4Multi-echelon optimizationYes
4 lines stated Written from the maker's own pages: github.com
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Overview

Stockpyl is ranked #7 of 26 in inventory optimization software on Specifiction. It runs on API, Linux. There is a free plan.

Stockpyl plans and pricing

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

Compared on inventory optimization software

Free plan
Nogithub.com
Safety stock optimization
Yesgithub.com
Multi-echelon optimization
Yesgithub.com

Facts

Purpose
Stockpyl is a Python package for inventory optimization and simulation.stockpyl.readthedocs.io · 4 Oct 2026
Single-node models
It implements economic order quantity, newsvendor, and Wagner-Whitin inventory models.github.com · 4 Oct 2026
Simulation
It has features for simulating multi-echelon inventory systems.stockpyl.readthedocs.io · 4 Oct 2026
Optimization methods
Its documented methods include dynamic programming for Wagner-Whitin and finite-horizon stochastic inventory problems.stockpyl.readthedocs.io · 4 Oct 2026
Network models
It documents algorithms for serial systems and acyclical guaranteed-service systems.stockpyl.readthedocs.io · 4 Oct 2026
Distribution
The installation guide says Stockpyl is available on PyPI and installs with `pip install stockpyl`.stockpyl.readthedocs.io · 4 Oct 2026
Python requirement
The installation guide requires Python v3.7 or later.stockpyl.readthedocs.io · 4 Oct 2026
License
The project describes itself as open-source and released under the MIT License.github.com · 4 Oct 2026
Documentation
The project links to documentation covering tutorials and API modules for optimization, simulation, and supply-chain data structures.stockpyl.readthedocs.io · 4 Oct 2026
Support
The project directs users to GitHub Issues for feedback and problems, with email as an alternative.github.com · 4 Oct 2026
Audience
PyPI classifies the project under education, office/business, and scientific/engineering topics.pypi.org · 4 Oct 2026
Maker
The package credits Lawrence V. Snyder as its author.pypi.org · 4 Oct 2026

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Sources