Vivid Code

Automated collaborative data science

Vivid Code


About

Vivid Code is a pioneering software framework for next generation data analysis applications, that interconnects collaborative data science with automated machine learning.

Cloud-Assisted Meta programming in the Vivid Code framework
Cloud-Assisted Meta programming in the Vivid Code framework

Based on the Cloud-Assisted Meta programming (CAMP) paradigm, the framework allows the usage of Currently Best Fitting (CBF) algorithms. Before code interpretation / compilation the concrete algorithms, that implement the CBF specifications, are automatically chosen from local and public catalog servers, that host and deploy the concrete algorithms. Thereby the specification is constituted by a unique algorithm category, a data domain and a metric, which substantiates the meaning of Best Fitting within the respective algorithm- and data context. An example is the average prediction accuracy within a fixed set of gold standard samples of the data domain (e.g. latin handwriting samples, spoken word samples, TCGA gene expression data, etc.).

The Vivid Code framework allows the implementation of cutting edge enterprise analytical applications, that are automatically kept up-to-date and therefore minimize their maintenance costs. Also the Vivid Code framework facilitates the publication, application, sharing and comparison of algorithms, within and between workgroups.

According to our convictions Vivid Code is Free Software. It is released under the GPL-3.0 and can be downloaded from GitHub.

Subprojects

Deet

Universal high-performance Data Mapper

Rian

Rapid Prototyping System for Data Analysis

Brea

Autoevaluating Algorithm Repository

Posts

  •   Patrick Michl  

    Three obstacles in data science and one vision: For the current development- and exploration process in data science three obstacles in particular appear as outstanding hurdles, when it comes up to realize projects - and even more, when it comes up to venture collaborations. ...more