Is Teaspoon Safe?
Teaspoon — Nerq Trust Score 68.2/100 (B- grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-22
Teaspoon is a Ruby gem with a Nerq Trust Score of 68.2/100 (B-), based on 3 independent data dimensions. Last analyzed: 2026-03-22 Security: 90/100. Popularity: 100/100. Data sourced from rubygems.org, GitHub, and NVD. Last updated: 2026-03-22. Machine-readable data (JSON).
Is Teaspoon safe?
Trust Score Breakdown — Teaspoon has a Nerq Trust Score of 68.2/100 (B-). Measured across 2 independent trust signals (as of 2026-03-22).
What is Teaspoon's trust score?
Teaspoon has a Nerq Trust Score of 68.2/100, earning a B- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Teaspoon?
Teaspoon's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Teaspoon and who maintains it?
| Author | jejacks0n, mikepack, jayzes |
| Category | Ruby Gems |
| Source | N/A |
Teaspoon Across Platforms
Same developer/company in other registries:
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Safety Guide: Teaspoon
What is Teaspoon?
Teaspoon is a Ruby gem — Run your Javascript tests using Jasmine, Mocha or QUnit using a variety of platforms..
How to Verify Safety
Run bundle audit. Review on rubygems.org.
You can also check the trust score via API: GET /v1/preflight?target=teaspoon
Key Safety Concerns for Ruby gem
When evaluating any Ruby gem, watch for: dependency vulnerabilities, maintenance status.
Measured Signals
Teaspoon has a Nerq Trust Score of 68/100 (B-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Teaspoon has a Trust Score of 68/100 (B-).
- The score is a measured composite — it is not a suitability judgment. Evaluate the individual signals against your own requirements.
- Query the current measured values via the Nerq API.
Frequently Asked Questions
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Popular in Ruby Gems
See Also
Disclaimer: Nerq trust scores are automated measurements based on publicly available signals. They are not endorsements, verdicts, or guarantees of suitability. Always evaluate the signals against your own requirements.