dataforge-core

• Meta-data processing tools.
• Context encapsulation mechanism.
• Basic data structures: Values, DataPoints, DataSets etc.
• Actions (see "push" data flow model).
• Tasks and workspaces (see "pull" data flow model).
• Basic IO, Logging.
• Naming, paths and navigation.

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dataforge-aida (planned)

A connector to current data analysis software like JAS3 and ROOT.

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dataforge-maths

A simple wrapper for Apache Commons Math library (one of the most advanced mathematical libraries). DataForge numerical integration API. Some minor utilities.

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dataforge-fitting

• Models API and implementation (Spectra, Histograms etc.).
• Basic DataForge fitting API (parameters, models, states etc.).
• A unique implementation of Fyodor Tkachov's Quasi-Optimal Weights method (QOW).
• A wrapper for Commons Math no-deriv procedures.
• Bayesian tools to work with prior and posterior Likelihood functions.

(addition) A refined version of JMINUIT is included in additional module.

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dataforge-plots

• General DataForge plotting API based on annotations.
• Reference implementation based on JFreeChart library. JFreeChart is one of most rich library for graph plotting ever made (not only in Java).
• Reference implementation based on JavaFX Charts.

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dataforge-storage

• Advanced abstract storage API based on annotations.
• Basic implementation for different storage systems (including direct file storage, relation databases and no-SQL databases).
• Envelope format allowing combining binary data and text meta-data in one container.
• Automatic logging and event system.
• Remote storage implementation.

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dataforge-control

Alarms and device controls based on storage events.

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Project GRINDStone(GRoovy INteractive Dataforge)

• Scripting support with Groovy.
• Command line interpreter using Groovy shell.
• Both dynamic and static type systems.
• Advanced tools for annotation, actions and tasks construction via Groovy DSL builders.