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A page from AI Digest presenting a timeline of AI forecasts, describing what to expect in AI capabilities, potential harms, and society's response, according to the median prediction of forecasters on Metaculus and Manifold. Forecasters predicted when statements about the future would come true or the probability they would occur by a given date. The page notes the forecasts have limited precision and were last updated June 26, 2026.
BigML is a machine learning platform for classification, regression, time series forecasting, cluster analysis, anomaly detection, association discovery, topic modeling and principal component analysis. Models can be used for predictions through remote services or exported and embedded into applications. A three-day free trial gives access to all functionality.
Copy.ai presents itself as a GTM AI platform for automating go-to-market tasks. Its listed use cases include prospecting, content creation, inbound lead processing, account based marketing, translation and localization, and deal coaching and forecasting. Infobase stores brand and company information that can be referenced in prompts using the '#' symbol.
Highcharter is an R wrapper for the Highcharts JavaScript charting library and its modules, delivered through an htmlwidget. The hchart(x) function charts data frames, vectors, ts, xts, forecast and survfit objects. It supports Highstock candlestick charts, Highmaps choropleth charts, themes, and plugins. Highcharts offers a commercial license and a free non-commercial license; the package does not provide a Highcharts license.
Lambdo is a workflow engine that unifies feature engineering and machine learning operations. In its workflows, nodes can be treated as features or predictions, and both can be trained. It uses column-oriented data processing and provides functions for time-series analysis and forecasting.
ML.NET is an open source, cross-platform machine learning framework for .NET. It lets developers build, train, deploy and consume custom models in .NET applications, with data loading from files and databases, data transformations and many ML algorithms. Models can be trained for scenarios such as classification, forecasting and anomaly detection, and TensorFlow and ONNX models can be consumed within the framework.
Prophet is a forecasting procedure implemented in R and Python. It provides automated forecasts that can be tuned by hand, and is based on an additive model with non-linear trends and yearly, weekly and daily seasonality plus holiday effects. Facebook released it as open source, available on CRAN and PyPI.
Personal site of Sean J. Taylor, who describes himself as a data scientist, social scientist, statistician, and software developer. It links to his background, videos and podcasts, and writing on data science, social science, experimentation and statistics, forecasting, and software. The page also notes he is a co-founder and chief scientist at Motif Analytics.
The windML framework provides access to wind data sources within Python, building upon numpy, scipy, sklearn and matplotlib. It relates to renewable wind energy forecasting and prediction. The package is currently not maintained, though a deprecated branch is available.
