Skip to content

BitQueryD3/BitQuery

master
Switch branches/tags

Name already in use

A tag already exists with the provided branch name. Many Git commands accept both tag and branch names, so creating this branch may cause unexpected behavior. Are you sure you want to create this branch?
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 

BitQuery

BitQuery is a GitHub API driven and D3 based search engine for open source repositories.

Description

BitQuery pursues three main objectives:

  • (I) Query the repository metadata via text mining and clustering methods, thus providing an automatic categorization system for software developers
  • (II) Establish visual data exploration and topic driven navigation of GitHub repositories for more transparency in source code management
  • (III) Promote discoverability and technology transfer for data science and project teams

The BitQuery architecture consists of three abstraction layers, following the visual analytics approach (D. Keim, 2008):

  • GitHub API based parser layer (Data Management)
  • Smart Data layer (Analysis)
  • D3-3D Visu layer, or BitQuery Visual Analytics application (VA-App) (Visualization)

Visual Analytics layouts of BitQuery include:

  • Special edition - Visual data mining of open source libraries, package networks and other well-documented data collections. The following metadata types are supported: JSON, YAML, DCF and Markdown.
  • CRAN edition - Explore and query the R universe, a comprehensive collection of R packages on GitHub including both the official CRAN packages and the developer versions.
  • GitHub edition - Explore and query GitHub organizations. At present, there are more than one million organizations on GitHub, among them Amazon Web Services, Microsoft Azure, Google Cloud Platform and many more.
  • HCA Multilevel Edition (Beta (but working) version for various CRAN and Organizations data sets)
  • Data Projector Edition (experimental Three.js Visualization)

Introduction

First presentation of BitQuery at DSSV 2017

Presentation of BitQuery at Data Science, Statistics & Visualization Conference 2017, Lisbon, Portugal:

Citing BitQuery

If you use BitQuery in your research or use it for visualizing your repositories on GitHub, please use the following BibTeX entry.

@online{BitQuery,
    title = {{BitQuery: a GitHub API driven and D3 based search engine for open source repositories}},
    author = {Lukas Borke and Svetlana Bykovskaya},
    year = {2017},
    url = {http://bitquery.de},
    urldate = {2017-12-01},
    NOTE = {Available at http://bitquery.de},
}

If you would like to add new views with more repositories and organizations to BitQuery, please contact the creators of BitQuery: https://github.com/orgs/bemined/people .

About

GitHub API driven and D3 based search engine for open source repositories

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published