ketteQ vs supplychainpy
ketteQ
ketteq.comsupplychainpy
supplychainpy.orgSide by side
| Figure | ketteQ | supplychainpy |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| 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 | 7.7 (#5) | 7.9 (#3) |
| Deployment | Quintus can be deployed above existing systems, with the first use case typically going live in four to eight weeks without replacing those systems. | The maker documents running the reporting suite locally with configurable host and port settings. |
| Founded | 2018 | 2016 |
| Integrations | ketteQ says Quintus can provide supply availability, promise dates, and risk signals in Salesforce, Slack, Teams, CRM workflows, and email. | The maker describes use with Pandas, Jupyter, Matplotlib, openpyxl and xlwings. |
| Purpose | ketteQ provides supply chain planning and execution orchestration through Quintus, its supply chain AI intelligence. | Supplychainpy is a Python library for supply chain analysis, modeling, and simulation. |
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.