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Gramps, formerly GRAMPS (an acronym for Genealogical Research and Analysis Management Programming System), [2] is a free and open-source genealogy software. [9] It is developed in Python using PyGObject and utilizes Graphviz to create relationship graphs.
Dbt enables analytics engineers to transform data in their warehouses by writing select statements, and turns these select statements into tables and views. Dbt does the transformation (T) in extract, load, transform (ELT) processes – it does not extract or load data, but is designed to be performant at transforming data already inside of a ...
Python Phylo: Part of Biopython, this module provides classes, functions and I/O support for working with phylogenetic trees [38] Bio::Phylo Perl A collection of Perl modules for manipulating and visualizing phylogenetic data. Bio::Phylo is one part of a comprehensive suite of Perl biology tools [21] CGRphylo: R
Phylogenetic trees generated by computational phylogenetics can be either rooted or unrooted depending on the input data and the algorithm used. A rooted tree is a directed graph that explicitly identifies a most recent common ancestor (MRCA), [citation needed] usually an inputed sequence that is not represented in the input.
Waikato Environment for Knowledge Analysis (Weka) is a collection of machine learning and data analysis free software licensed under the GNU General Public License.It was developed at the University of Waikato, New Zealand and is the companion software to the book "Data Mining: Practical Machine Learning Tools and Techniques".
Data lineage can be visualized at various levels based on the granularity of the view. At a very high-level, data lineage is visualized as systems that the data interacts with before it reaches its destination. At its most granular, visualizations at the data point level can provide the details of the data point and its historical behavior ...
Distributed Evolutionary Algorithms in Python (DEAP) is an evolutionary computation framework for rapid prototyping and testing of ideas. [2] [3] [4] It incorporates the data structures and tools required to implement most common evolutionary computation techniques such as genetic algorithm, genetic programming, evolution strategies, particle swarm optimization, differential evolution, traffic ...
Genealogy software products differ in the way they support data acquisition (e.g. drag and drop data entry for images, flexible data formats, free defined custom attributes for persons and connections between persons, rating of sources) and interaction (e.g. 3D-view, name filters, full text search and dynamic pan and zoom navigation), in reporting (e.g.: fan charts, automatic narratives ...