Visualizing ontologies on the Web
Alternatives To Webvowl
Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
a year ago51mitJavaScript
Visualizing ontologies on the Web
Ontospy1901457 months ago83November 16, 202222mitJavaScript
Python library and command-line interface for inspecting and visualizing RDF models aka ontologies.
Hdt Cpp99
4 months ago1March 03, 202151C++
HDT C++ Library and Tools
Ontology Visualization78
2 years ago6mitPython
A simple ontology and RDF visualization tool.
8 years ago18Scala
RDF framework
Graph Explorer3512 months ago5December 21, 20225otherTypeScript
Graph Explorer can be used to explore RDF graphs in SPARQL endpoints or on the web.
Discover Me Semantically31
4 years agootherPHP
A web tool enabling authorship and download of RDF, and RDF visualization in Linked Open Data
5 days ago17Perl
RDF by Example: rdfpuml for True RDF Diagrams, rdf2rml for R2RML Generation
2 months ago13March 23, 202216mitVue
SPEX is designed to introspect data within SPARQL endpoints, leveraging the self-describing nature of RDF-based data to enhance your comprehension of the underlying schema.
Linked Data25
2 months ago5otherJavaScript
Linked Data Extension for VSCode
Alternatives To Webvowl
Select To Compare

Alternative Project Comparisons

WebVOWL Build Status

This repository was ported from an internal SVN repository to Github after the release of WebVOWL 0.4.0. Due to cleanups with git filter-branch, the commit history might show some strange effects.

Run Using Docker

Make sure you are inside WebVOWL directory and you have docker installed. Run the following command to build the docker image:

docker build . -t webvowl:v1

Run the following command to run WebVOWL at port 8080.

docker-compose up -d

Visit http://localhost:8080 to use WebVOWL.


Node.js for installing the development tools and dependencies.

Development setup


  1. Download and install Node.js from http://nodejs.org/download/
  2. Open the terminal in the root directory
  3. Run npm install to install the dependencies and build the project
  4. Edit the code
  5. Run npm run-script release to (re-)build all necessary files into the deploy directory
  6. Run serve deploy/ to run the server locally, by installing serve by using npm install serve -g.

Visit http://localhost:3000 to use WebVOWL.


Instead of the last step of the simple setup, install the npm package grunt-cli globally with npm install grunt-cli -g. Now you can execute a few more advanced commands in the terminal:

  • grunt or grunt release builds the release files into the deploy directory
  • grunt package builds the development version
  • grunt webserver starts a local live-updating webserver with the current development version
  • grunt test starts the test runner
  • grunt zip builds the project and puts it into a zip file

Additional information

To export the VOWL visualization to an SVG image, all css styles have to be included into the SVG code. This means that if you change the CSS code in the vowl.css file, you also have to update the code that inlines the styles - otherwise the exported SVG will not look the same as the displayed graph.

The tool which creates the code that inlines the styles can be found in the util directory. Please follow the instructions in its README file.

Popular Visualization Projects
Popular Rdf Projects
Popular User Interface Categories
Related Searches

Get A Weekly Email With Trending Projects For These Categories
No Spam. Unsubscribe easily at any time.