What is sparql-client?

64/100
Trust Score (C+)
⚠️ Use Caution

sparql-client is a gems that Executes SPARQL queries and updates against a remote SPARQL 1.0 or 1.1 endpoint, or against a local repository. Generates SPARQL queries using a simple DSL. . It has a Nerq Trust Score of 64/100 (C+). 0 GitHub stars. Published by Arto Bendiken, Ben Lavender, Gregg Kellogg. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

64
TRUST SCORE
C+
GRADE
0
STARS
0
DOWNLOADS

What sparql-client Does

sparql-client is a gems in the gems category. Executes SPARQL queries and updates against a remote SPARQL 1.0 or 1.1 endpoint, or against a local repository. Generates SPARQL queries using a simple DSL. Includes SPARQL::Client::Repository, which allows any endpoint supporting SPARQL Update to be used as an RDF.rb repository.. It is published by Arto Bendiken, Ben Lavender, Gregg Kellogg and has no specified license. With 0 GitHub stars and 0 downloads, it has a small community of users and contributors.

Who Should Use sparql-client

sparql-client is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorArto Bendiken, Ben Lavender, Gregg Kellogg
Categorygems
LicenseNot specified
Typegems
SourceView on GitHub
Security Score0/100
Activity Score0/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=sparql-client

Setup guide · Full safety report · Production review · Is it safe?

Frequently Asked Questions

What is sparql-client used for?
sparql-client is a gems tool. Executes SPARQL queries and updates against a remote SPARQL 1.0 or 1.1 endpoint, or against a local repository. Generates SPARQL queries using a simple DSL. .
Is sparql-client free?
License: Check project page. sparql-client has 0 GitHub stars.
Is sparql-client safe?
sparql-client has a Nerq Trust Score of 64/100 (C+). Use with caution.
What are alternatives to sparql-client?
Top alternatives: . See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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