Is Airbyte Source Facebook Marketing Safe?
Airbyte Source Facebook Marketing — Nerq Trust Score 69.5/100 (B- grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-05-22.
Use Airbyte Source Facebook Marketing with some caution. Airbyte Source Facebook Marketing is a Python package with a Nerq Trust Score of 69.5/100 (B-), based on 3 independent data dimensions. Below the recommended threshold of 70. Security: 90/100. Popularity: 45/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Airbyte Source Facebook Marketing safe?
CAUTION — Airbyte Source Facebook Marketing has a Nerq Trust Score of 69.5/100 (B-). 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.
What is Airbyte Source Facebook Marketing's trust score?
Airbyte Source Facebook Marketing has a Nerq Trust Score of 69.5/100, 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 Airbyte Source Facebook Marketing?
Airbyte Source Facebook Marketing'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+.
What is Airbyte Source Facebook Marketing and who maintains it?
| Author | Airbyte |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Airbyte Source Facebook Marketing
What is Airbyte Source Facebook Marketing?
Airbyte Source Facebook Marketing is a Python package — Source implementation for Facebook Marketing..
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=airbyte-source-facebook-marketing
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Airbyte Source Facebook Marketing has a Nerq Trust Score of 70/100 (B-) 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
- Airbyte Source Facebook Marketing has a Trust Score of 70/100 (B-).
- Review carefully before use — below trust threshold.
- Always verify independently using the Nerq API.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 45/100 |
| Quality | 50/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Airbyte Source Facebook Marketing collect?
Privacy assessment for Airbyte Source Facebook Marketing is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Airbyte Source Facebook Marketing secure?
Security score: 90/100. Airbyte Source Facebook Marketing has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under ELv2, allowing code inspection. Open-source packages allow independent security review of the source code.
Run your package manager's audit command (`npm audit`, `pip audit`, `cargo audit`) to check for known vulnerabilities in your dependency tree.
Full analysis: Airbyte Source Facebook Marketing Security Report
How we calculated this score
Airbyte Source Facebook Marketing's trust score of 69.5/100 (B-) is computed from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 5 independent dimensions: security (90/100), maintenance (100/100), popularity (45/100), quality (50/100), community (35/100). Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 22, 2026. Data version: 0.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.