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SPECIFICTION
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FLAML vs Forecast Pro

FLAML

microsoft.github.io

Forecast Pro

forecastpro.com

Side by side

FigureFLAMLForecast Pro
Price from—$199/mo
Free plan——
Free trial—Yes
Open source——
WindowsYesYes
macOSYes—
LinuxYesYes
APIYesYes
Self-hostedYesYes
Plans published02
Spec score · Predictive Analytics Software7.9 (#14)8.9 (#2)
IntegrationsThe documentation describes MLflow logging and integration with Azure Machine Learning.Data can be exchanged through Excel, CSV or text files and direct ODBC database connections, with outputs commonly sent to ERP or MRP systems.
PurposeFLAML automates machine learning model selection and hyperparameter tuning with low computational resources.Forecast Pro creates statistically based business forecasts that can be integrated into broader planning systems.
SupportThe official site links to a Discord community.Subscriptions include product updates plus unlimited technical support by phone and email while active.

Plans

FLAML

No plans published.

FLAML pricing →

Forecast Pro

  • Forecast Pro Professional$199 a month
  • Forecast Pro TRACPriced on request

Forecast Pro pricing →

In their own words

FLAML

FLAML is free, MIT-licensed open-source software for automated machine learning and tuning. It seeks accurate models or configurations while using low computational resources, and can adapt large language models to applications to reduce monetary costs. Supported AutoML tasks include classification, regression, time-series and panel forecasting, learning to rank, and sequence classification. The flaml.default package recommends data-dependent hyperparameter defaults without runtime tuning. Tuning handles large search spaces, different evaluation costs, constraints, guidance, and early stopping; users can restrict learners or tune a customized learner. Optional integrations include OpenAI models, CatBoost, Vowpal Wabbit, Prophet, statsmodels, Hugging Face Transformers, Ray, Spark, NNI, BlendSearch, Azure Synapse, MLflow, and Azure Machine Learning. Python support for the latest version is 3.10 or later and earlier than 3.14. Ray and Spark enable parallel tuning, but not together, and Spark parallel training does not support GPUs. A .NET implementation is available through ML.NET.

Visit microsoft.github.io

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.

Visit forecastpro.com