replenishment vs StockTrim
replenishment
github.comStockTrim
stocktrim.comSide by side
| Figure | replenishment | StockTrim |
|---|---|---|
| Price from | Free | $298/mo |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | — | Yes |
| API | — | Yes |
| Plans published | 1 | 1 |
| Spec score · Inventory Optimization Software | 7.7 (#6) | 7.5 (#9) |
| Purpose | The project describes replenishment as a Python library for stock replenishment simulation, policy optimization, and decision visualization. | StockTrim provides inventory demand forecasting and planning for product businesses. |
Plans
In their own words
replenishment
replenishment is a Python library for simulating stock replenishment, optimizing policies, and visualizing policy behavior. It is designed for teams comparing policies against historical or synthetic demand. Listed optimization workflows include safety stock based on mean forecasts, k*RMSE or k*MAE, and percentile targets. For k*RMSE and k*MAE, safety stock can optionally increase when lead-time forecast quantities rise above a baseline. The library supports moving between CSV or DataFrame inputs and simulation configurations, and it can show visual comparisons of policies on replenishment time series. The README includes notebooks for policy variants, synthetic data generation, and loading stock replenishment data. Installation is through PyPI with `pip install replenishment`. The project is tested on Python 3.10, 3.11, 3.12, and 3.13; listed dependencies include pandas, Polars, PyArrow, matplotlib, ipykernel, and scienceplots. The package uses the MIT license and is classified as Alpha. The project welcomes contributions. Minimum order quantities, case-pack constraints, and promotion-aware demand handling are listed as areas for future contribution.