Stockpyl
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.
At a glance
- Editor score6.4 / 10
- PricingOpen source
- Best forDevelopers modeling complex inventory networks
- Free planNo
- Paid fromFree
- Facts checked21 Sep 2026

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.
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Stockpyl pricing
Stockpyl fact sheet
| Free plan | No |
|---|---|
| Paid from | Free |
| Multi-location optimization | Not verified |
| Safety stock optimization | Yes |
| Service-level targets | Not verified |
| Replenishment recs | Not verified |
| Multi-echelon optimization | Yes |
| Scenario planning | Not verified |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Pricing | Open source |
| Website | github.com |
| Facts checked | 21 Sep 2026 |
Alternatives to Stockpyl
- PTC Servigistics Advanced Inventory OptimizationA specialized platform for optimizing service-parts stock across complex supply chains.9.2
- Slimstock Slim4ERP-connected forecasting and replenishment for complex, multi-location inventory networks.8.7
- ToolsGroup SO99+A broad, enterprise-focused optimizer for uncertain demand and multi-location inventory.8.6
See all Stockpyl alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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