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Stockpyl

Free#22 of 25 in Inventory Optimization Software

Stockpyl: A powerful Python toolkit for complex inventory models, not a packaged replenishment application. Ranked #22 of 25 in Inventory Optimization Software by our editors (6.4/10); pricing: Open source; best for developers modeling complex inventory networks.

6.4/10Editor score
Stockpyl6.4 Visit Stockpyl

At a glance

  • Editor score
    6.4 / 10
  • Pricing
    Open source
  • Best for
    Developers modeling complex inventory networks
  • Free plan
    No
  • Paid from
    Free
  • Facts checked
    21 Sep 2026
Stockpyl screenshot
  • Where it wins

    • Covers EOQ, newsvendor, Wagner-Whitin, and safety-stock models
    • Supports serial, tree, and arbitrary-topology multi-echelon networks
    • Adds simulation for products, BOMs, disruptions, policies, and cost functions
  • Where it doesn't

    • Requires Python development and self-hosted deployment
    • Does not provide a packaged replenishment workflow
    • Integration and service-level capabilities are limited

Our verdict on Stockpyl

Stockpyl is an open-source Python package for inventory optimization and supply-chain simulation. It is aimed at researchers, analysts, and developers who need to model inventory systems directly in code. The scope covers classical single-node methods, including economic order quantity, newsvendor, and Wagner-Whitin models, alongside safety-stock and base-stock calculations. For teams building custom analytical tools rather than selecting a hosted application, its Python distribution and self-hosted platform fit a technical workflow.

Its strongest area is model depth. Stockpyl supports serial multi-echelon optimization under the stochastic-service model, serial and tree networks under the guaranteed-service model, and arbitrary-topology networks using enumeration or coordinate descent. It also supports single- and multi-echelon simulation, multiple products, bill-of-materials structures, stochastic demand, and supply disruptions. Built-in or custom inventory policies and cost functions give developers room to represent specialized operating assumptions instead of limiting analysis to a fixed replenishment template.

The trade-off is that this flexibility comes with implementation responsibility. Stockpyl is a Python package, not a hosted commercial application, so it suits teams prepared to manage code and deployment. It is less suitable for buyers looking for packaged replenishment workflows, verified integrations, or service-level features designed for operational users. Choose Stockpyl when the priority is technical control over complex inventory-network models and simulations. Choose an alternative when the priority is a ready-to-run application with broader business-system connectivity and guided replenishment operations.

Your product? Our editors can test Stockpyl in depth and publish a review, labelled as paid · from $149/mo →

Stockpyl pricing

Plans Open sourceFree Free to use — no paid tier required for the core job.
See plans on github.com

Stockpyl fact sheet

Free planNo
Paid fromFree
Multi-location optimizationNot verified
Safety stock optimizationYes
Service-level targetsNot verified
Replenishment recsNot verified
Multi-echelon optimizationYes
Scenario planningNot verified
DeploymentSelf-hosted
SupportCommunity, Docs
Built forSolo, Small business, Mid-market, Enterprise (editorial estimate)
PricingOpen source
Websitegithub.com
Facts checked21 Sep 2026

Alternatives to Stockpyl

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Featured on iTechGuides

Featured on iTechGuides — Stockpyl 6.4/10

Stockpyl is listed in our Inventory Optimization Software directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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