Forecast Pro vs PyCaret
Forecast Pro
forecastpro.comPyCaret
pycaret.orgSide by side
| Figure | Forecast Pro | PyCaret |
|---|---|---|
| Price from | $199/mo | Free |
| Free plan | — | Yes |
| Free trial | Yes | — |
| Open source | — | Yes |
| Web | — | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 2 |
| Spec score · Predictive Analytics Software | 8.9 (#2) | 8.4 (#5) |
| Company size | LinkedIn lists Forecast Pro as privately held with 11–50 employees. | LinkedIn lists PyCaret's company size as 11–50 employees. |
| Deployment | The software can be installed on a client machine or server, including Citrix and Windows Server, with native 32-bit and 64-bit versions. | Models can be saved as portable scikit-learn pipelines, served behind FastAPI, or deployed through the optional pycaret-server layer. |
| Forecasting | Its automatic best-pick algorithm accounts for seasonal patterns, trends, business cycles, promotional activity, and other factors. | TimeSeriesExperiment is built on sktime and supports models such as ARIMA, AutoARIMA, exponential smoothing, ETS, Theta, STLF, Croston, and reduced-regressor adapters. |
| Founded | 1986 | LinkedIn lists PyCaret as founded in 2020. |
| Headquarters | Waltham, Massachusetts, USA | Toronto, Canada |
| Integrations | Data can be exchanged through Excel, CSV or text files and direct ODBC database connections, with outputs commonly sent to ERP or MRP systems. | PyCaret wraps or interoperates with scikit-learn, XGBoost, Microsoft LightGBM, spaCy, sktime, pyod, FastAPI, React, and Plotly. |
| Purpose | Forecast Pro creates statistically based business forecasts that can be integrated into broader planning systems. | PyCaret is an open-source, low-code Python tool for automating machine-learning workflows. |
| Rating on G2 | 4.1 out of 5 from 23 reviews | 0.0 out of 5 from 0 ratings; the G2 category page provides no user-review information for PyCaret. |
| Support | Subscriptions include product updates plus unlimited technical support by phone and email while active. | The FAQ directs users to GitHub Discussions for questions and GitHub Issues for bug reports. |
| System requirements | The desktop application supports Windows 7, 8 and 10 or later, with a Pentium-class processor, 4–8 GB RAM and 2 GB disk space recommended. | PyCaret 4.0 supports Python 3.11, 3.12, and 3.13; CPU is sufficient, GPU acceleration is optional, and 4 GB memory is described as comfortable for tutorial data. |
| What it does | Forecast Pro is an off-the-shelf package for creating statistically based business and demand forecasts that can connect to broader planning systems. | PyCaret is a low-code Python AutoML library and self-hosted machine-learning platform. |
Plans
Forecast Pro
- Forecast Pro Professional$199 a month
- Forecast Pro TRACPriced on request
In their own words
Forecast Pro
Forecast Pro creates statistically based business forecasts for use in broader planning systems. Its automatic best-pick algorithm considers seasonal patterns, trends, business cycles, promotional activity, and other factors. Users can forecast at multiple hierarchy levels while working with units, dollars, and other measures at once. Adjustments can be made at any level, with comments and override reports documenting and reconciling changes. The software archives prior forecasts so users can compare them with actual results and review forecast value added across process steps. Data can move through Excel, CSV, text files, or ODBC, and the maker says the product integrates with ERP, MRP, and BI systems. Forecast Pro runs on Windows and can be installed on a client machine or server, including Citrix or Windows Server. The SDK is also available as a Linux shared library, with.NET and Java interfaces. Professional starts at $199 a month, billed annually, with a 12-month minimum. A free trial provides all features for 21 days and ends automatically.