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Science libraries

Showing projects tagged as Science

  • Tablesaw

    7.7 6.2 Java
    Includes a data-frame, an embedded column-store, and hundreds of methods to transform, summarize, or filter data.
  • JGraphT

    7.5 0.0 L2 Java
    Graph library that provides mathematical graph-theory objects and algorithms.
  • XChart

    6.3 8.7 Java
    A light-weight library for plotting data. Many customizable chart types are available.
  • JGraphX

    5.9 3.8 L1 Java
    Library for visualisation (mainly Swing) and interaction with node-edge graphs.
  • JFreeChart

    5.7 8.8 Java
    2D chart library for Swing, JavaFX and server-side applications.
  • BioJava

    5.5 7.6 Java
    Faciliates processing biological data by providing algorithms, file format parsers, sequencing and 3D visualization commonly used in bioinformatics.
  • GraphStream

    4.4 3.3 L1 Java
    Library for modeling and analysis of dynamic graphs.
  • JUNG

    4.3 0.0 L3 Java
    JUNG: Java Universal Network/Graph Framework
  • ChartFx

    3.5 8.8 Java
    A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.
  • Morpheus

    3.4 0.0 Java
    Provides a versatile two-dimensional memory efficient tabular data structure called a DataFrame to enable efficient in-memory analytics for scientific computing on the JVM.
  • Erdos

    2.8 0.0 L4 Java
    Modular, light and easy graph theoretic framework.
  • Orson-Charts

    2.7 4.2 Java
    Generates a wide variety of 3D charts that can be displayed with Swing and JavaFX or exported to PDF, SVG, PNG and JPEG. (GPL-3.0-only)
  • LogicNG

    2.6 6.9 Java
    LogicNG Library for creating, manipulating and solving Boolean and Pseudo-Boolean formulas.
  • Mines Java Toolkit

    2.5 1.2 Java
    Library for geophysical scientific computation, visualization and digital signal analysis.
  • SDMLib

    2.1 4.1 Java
    Code Generator
  • JScience

    Provides a set of classes to work with scientific measurements and units.
  • DataMelt

    Environment for scientific computation, data analysis and data visualization.