EasierRDF
authorization-panel
Our great sponsors
EasierRDF | authorization-panel | |
---|---|---|
3 | 1 | |
258 | 19 | |
2.7% | - | |
0.0 | 4.4 | |
over 1 year ago | 6 months ago | |
Python | HTML | |
- | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
EasierRDF
- EasierRDF
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Useful resources for Solid
Bonus: if you're more into RDF and Linked Data in general, check out https://gitter.im/linkeddata/chat for an active chat on LD, and https://github.com/w3c/EasierRDF for an active GH repo on making RDF more accessible for developers in general
- Data-Mining Wikipedia for Fun and Profit
authorization-panel
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Useful resources for Solid
https://github.com/solid/authorization-panel - the authorization panel, working on authorization protocols such as Web Access Control (WAC) and Access Control Policies (ACP)
What are some alternatives?
qlever - Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.
fastocloud_admin_community - Media Content Management System
awesome-semantic-web - A curated list of various semantic web and linked data resources.
data-interoperability-panel - Repository for the Solid Data Interoperability Panel
clojure-graph-resources - A curated list of Clojure resources for dealing with graph-like data.
specification - Solid Technical Reports
Moonlight - The next generation hosting panel
rdflib.js - Linked Data API for JavaScript
wikibase-cli - read and edit a Wikibase instance from the command line
relatedhow - A website to quickly find out how species are related