Is Friendly Sequences Safe?

Friendly Sequences — Nerq Trust Score 57.2/100 (C grade). Based on analysis of 2 trust dimensions, it is has notable safety concerns. Last updated: 2026-07-27.

Use Friendly Sequences with some caution. Friendly Sequences is a Python package with a Nerq Trust Score of 57.2/100 (C), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 60/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).

Is Friendly Sequences safe?

CAUTION — Friendly Sequences has a Nerq Trust Score of 57.2/100 (C). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.

Security Analysis → Friendly Sequences Privacy Report →

What is Friendly Sequences's trust score?

Friendly Sequences has a Nerq Trust Score of 57.2/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.

Security
90
Popularity
60

What are the key security findings for Friendly Sequences?

Friendly Sequences's strongest signal is security at 90/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.

Security score: 90/100 (strong)
Popularity: 60/100 — community adoption

What is Friendly Sequences and who maintains it?

AuthorUnknown
CategoryPython Packages
SourceN/A

Similar Pypi by Trust Score

arro3-core (67)avro-gen (67)azure-servicemanagement-legacy (67)azure-eventhub-checkpointstoreblob-aio (67)captum (67)
See all safest Pypi →

Compare

Friendly Sequences vs arro3-coreFriendly Sequences vs avro-genFriendly Sequences vs azure-servicemanagement-legacy

Safety Guide: Friendly Sequences

What is Friendly Sequences?

Friendly Sequences is a Python package — Friendly sequences made in Python with :love:.

How to Verify Safety

Run pip audit or safety check. Review on PyPI for download stats.

You can also check the trust score via API: GET /v1/preflight?target=friendly-sequences

Key Safety Concerns for Python package

When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.

Trust Assessment

Friendly Sequences has a Nerq Trust Score of 57/100 (C) and has not yet reached Nerq trust threshold (70+). This score is based on automated analysis of security, maintenance, community, and quality signals.

Key Takeaways

Frequently Asked Questions

Is Friendly Sequences Safe?
Use with some caution. friendly-sequences with a Nerq Trust Score of 57.2/100 (C). Strongest signal: security (90/100). Score based on Security (90/100), Popularity (60/100).
What is Friendly Sequences's trust score?
friendly-sequences: 57.2/100 (C). Score based on Security (90/100), Popularity (60/100). Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=friendly-sequences
What are safer alternatives to Friendly Sequences?
In the Python Packages category, more Python packages are being analyzed — check back soon. friendly-sequences scores 57.2/100.
Does Friendly Sequences have known vulnerabilities?
Nerq checks Friendly Sequences against NVD, OSV.dev, and registry-specific vulnerability databases. Current security score: 90/100. Run your package manager's audit command for the latest findings.
Is Friendly Sequences actively maintained?
Friendly Sequences maintenance score: N/A. Check the repository for recent commit activity and issue responsiveness.
API: /v1/preflight Trust Badge API Docs

See Also

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.

We use cookies for analytics and caching. Privacy