Netstock Inventory Optimization vs supplychainpy
Netstock Inventory Optimization
netstock.comsupplychainpy
supplychainpy.orgSide by side
| Figure | Netstock Inventory Optimization | supplychainpy |
|---|---|---|
| Price from | $900/mo | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.5 (#8) | 7.9 (#3) |
| Founded | 2009 | 2016 |
| Integrations | Netstock says it integrates with over 60 ERP systems and lists NetSuite, Sage, Acumatica, Microsoft Dynamics, SAP Business One, Unleashed, MYOB, Cin7 Core and SYSPRO among them. | The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl and xlwings. |
| Purpose | Netstock provides inventory planning and optimization software that uses predictive insights and recommendations to balance inventory investment and respond to supply and demand changes. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
| Reporting | Report Builder supports bespoke XLSX reports that can be filtered, sorted, shared and scheduled. | The reporting suite lists excess, shortages, and revenue breakdowns by classification, top excess and shortage items, SKU metrics and forecasts, and inventory recommendations. |
Plans
Netstock Inventory Optimization
- Netstock Inventory Optimization$900 a month
In their own words
Netstock Inventory Optimization
Netstock Inventory Optimization has no write-up on Specifiction yet; its figures are above.
supplychainpy
supplychainpy is a Python library for supply chain analysis, modeling, and simulation, aimed at commercial inventory and demand-planning analysts. Its inventory features include ABC XYZ classification, safety stock, reorder levels, economic order quantity, service-level targets, and replenishment recommendations. Forecasting options include simple exponential smoothing and Holt’s trend-corrected exponential smoothing; ARIMA models remain under development. The reporting suite presents charts, tables, KPIs, inventory summaries, and recommendations, with a bot for querying analysis in natural language. Inputs can be CSV or text files, Pandas DataFrames, or data supplied through a database ETL process. The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl, and xlwings. Installation is available through pip or from source, and the reporting suite can run locally with configurable host and port settings. Command examples cover Linux, Mac, and Windows. The project is licensed under BSD-3 and is free. Its maker warns that the library is in early development and unsuitable for production because its API may change.