Forecast Engine provides advanced time-series forecasting using ARIMA, Prophet, and machine learning models. It helps businesses make data-driven decisions by identifying trends and anomalies in their historical data.

What it does

Forecast Engine is designed for businesses looking to improve their forecasting accuracy by leveraging multiple statistical and machine learning models. It solves the problem of unreliable forecasts by allowing users to compare different models and detect anomalies in historical data, benefiting data analysts and decision-makers.

How to set up

Download and install the Forecast Engine software from the official website.
Upload your historical data in the required format.
Select the forecasting models you wish to compare (ARIMA, Prophet, ML).
Configure the settings for anomaly detection and confidence intervals.
Run the forecast and analyze the results.

Key features

Multiple model comparisons (ARIMA, Prophet, ML)
Anomaly detection capabilities
Confidence interval generation for forecasts
User-friendly interface for data upload and analysis
Visualizations of forecast results and trends

使用场景

Daily Operations

Integrate into daily operations to reduce manual work and improve accuracy.

来源

websiteOfficial Website githubGitHub Repository docsDocumentation

更新日志

1.5.0

Added multi-language support

Added multi-language support — see release notes for details.

3/18/2026

2.0.0

Major rewrite with improved accuracy

Major rewrite with improved accuracy — see release notes for details.

3/18/2026

评价

Professor

10x productivity boost

Not an exaggeration — our team is genuinely 10x more productive with this.

CFO Office

Forecast Engine

What it does

How to set up

Key features

使用场景

Daily Operations

来源

更新日志

评价

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