AutoGluon vs Forecast Pro

AutoGluon is a free, open-source Python library for automating machine learning across tabular, time-series, and multimodal data. For tables, it trains classification and regression models while handling data cleaning, feature engineering, hyperparameter optimization, and model selection. Its TimeSeriesPredictor produces probabilistic forecasts for multiple time series using historical data and related covariates. AutoMM reduces manual work in adapting foundation models to specialized data. Documentation examples cover image and text prediction, object detection, image segmentation, document prediction, entity extraction, and semantic matching. AutoMM can adapt models from Hugging Face, TIMM, and MMDetection collections. Forecasting methods include ETS and ARIMA from StatsForecast, LightGBM, DeepAR and Temporal Fusion Transformer from GluonTS, and Chronos. AutoGluon supports Python 3.10 through 3.13 on Linux, macOS, and Windows. GPU usage is not supported on macOS; the installation guide points GPU users to Linux or Windows. AutoGluon is licensed under Apache 2.0. Cloud options include AutoGluon Cloud, described as a free wrapper, and Amazon SageMaker, where compute and S3 storage are billed to the user’s AWS account.

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.