DataWarrior icon
DataWarrior icon

DataWarrior

DataWarrior combines dynamic graphical views and interactive row filtering with chemical intelligence. Scatter plots, box plots, bar charts and pie charts not only visualize numerical or category data, but also show trends of multiple scaffolds or compound substitution patterns.

DataWarrior screenshot 1

Cost / License

  • Free
  • Proprietary

Platforms

  • Mac  needs an up-to-date Java Runtime Environment
  • Windows  needs an up-to-date Java Runtime Environment
  • Linux  needs an up-to-date Java Runtime Environment
-
No reviews
0likes
0comments
0news articles

Features

Suggest and vote on features
  1.  Data visualization
  2.  Graphs

 Tags

DataWarrior News & Activities

Highlights All activities

Recent activities

No activities found.

DataWarrior information

  • Developed by

    Unknown
  • Licensing

    Proprietary and Free product.
  • Alternatives

    2 alternatives listed
  • Supported Languages

    • English
DataWarrior was added to AlternativeTo by anotherthomas on and this page was last updated .
No comments or reviews, maybe you want to be first?
Post comment/review

What is DataWarrior?

DataWarrior combines dynamic graphical views and interactive row filtering with chemical intelligence. Scatter plots, box plots, bar charts and pie charts not only visualize numerical or category data, but also show trends of multiple scaffolds or compound substitution patterns. Chemical descriptors encode various aspects of chemical structures, e.g. the chemical graph, chemical functionality from a synthetic chemist’s point of view or 3-dimensional pharmacophore features. These allow for fundamentally different types of molecular similarity measures, which can be applied for many purposes including row filtering and the customization of graphical views. DataWarrior supports the enumeration of combinatorial libraries as the creation of evolutionary libraries. Compounds can be clustered and diverse subsets can be picked. Calculated compound similarities can be used for multidimensional scaling methods, e.g. Kohonen nets. Physicochemical properties can be calculated, structure activity relationship tables can be created and activity cliffs be visualized.