Is Appworld Safe?
Appworld — Nerq Trust Score 59.0/100 (C grade). Score based on 2 independent trust signals. Last analyzed: 2026-03-20
Appworld is a Python package with a Nerq Trust Score of 59.0/100 (C), based on 3 independent data dimensions. Last analyzed: 2026-03-20 Security: 90/100. Popularity: 30/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-20. Machine-readable data (JSON).
Is Appworld safe?
Trust Score Breakdown — Appworld has a Nerq Trust Score of 59.0/100 (C). Measured across 2 independent trust signals (as of 2026-03-20).
What is Appworld's trust score?
Appworld has a Nerq Trust Score of 59.0/100, earning a C grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Appworld?
Appworld's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Appworld and who maintains it?
| Author | Harsh Trivedi |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Appworld
What is Appworld?
Appworld is a Python package — AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.
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=appworld
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Appworld has a Nerq Trust Score of 59/100 (C). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Appworld has a Trust Score of 59/100 (C).
- 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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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.