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Archaeopteryx Alternatives

Archaeopteryx is described as 'software tool for the visualization, analysis, and editing of potentially large and highly annotated phylogenetic trees. Archaeopteryx (the successor to ATV) is entirely written in the Java programming language (it is based on the forester libraries)' and is an app. There are five alternatives to Archaeopteryx for Mac, Windows and Linux. The best alternative is TreeView, which is free. Other great apps like Archaeopteryx are FigTree, TreeView X, UGENE and Dendroscope.

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  • FreeOpen Source
  • Mac
  • Windows
  • Linux
  • Java

Archaeopteryx is a software tool for the visualization, analysis, and editing of potentially large and highly annotated...

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  1. TreeView icon

    TreeView

    • FreeProprietary
    • Mac
    • Windows
    • Linux
    6 alternatives to TreeView 

    Tree drawing software for Apple Macintosh and Windows.

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  2. FigTree icon

    FigTree

    • FreeOpen Source
    • Mac
    • Windows
    • Linux
    4 alternatives to FigTree 

    FigTree is designed as a graphical viewer of phylogenetic trees and as a program for producing publication-ready figures. As with most of my programs, it was written for my own needs so may not be as polished and feature-complete as a commercial program.

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  3. TreeView X icon

    TreeView X

    • FreeOpen Source
    • Mac
    • Windows
    • Linux
    5 alternatives to TreeView X 

    TreeView X is an open source program to display phylogenetic trees on Linux, Unix, Mac OS X, and Windows platforms. It can read and display NEXUS and Newick format tree files (such as those output by PAUP*, .

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  4. UGENE icon

    UGENE

    • FreeOpen Source
    • Mac
    • Windows
    • Linux
    24 alternatives to UGENE 

    UGENE is free open-source cross-platform bioinformatics software.

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  5. Dendroscope icon

    Dendroscope

    • FreeProprietary
    • Mac
    • Windows
    4 alternatives to Dendroscope 

    Researchers studying phylogenetic relationships need software that is able to visualize rooted phylogenetic trees and networks efficiently, increasingly of large datasets involving hundreds of thousands of taxa.

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