StockTrim vs supplychainpy
StockTrim
stocktrim.comsupplychainpy
supplychainpy.orgSide by side
| Figure | StockTrim | supplychainpy |
|---|---|---|
| Price from | $298/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | Yes | — |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.5 (#9) | 7.9 (#3) |
| Forecasting | Its forecasting algorithm uses a business’s inventory data to produce tailored demand forecasts and order plans. | The features page lists simple exponential smoothing and Holt’s trend corrected exponential smoothing; ARIMA models are marked as under development. |
| Integrations | Listed integrations include Shopify, QuickBooks, Unleashed, Cin7 Core, MYOB, WooCommerce, Zoho, Katana, Fishbowl, inFlow, Odoo, Sellercloud and Acumatica. | The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl and xlwings. |
| Purpose | StockTrim provides inventory demand forecasting and planning for product businesses. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
| Security and compliance | The pages reviewed did not state specific security certifications or compliance standards. | The maker’s opened pages provide no security or compliance claims. |
Plans
In their own words
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.