Is Pytgcalls Safe?
Pytgcalls — Nerq Trust Score 70.2/100 (B grade). Based on analysis of 2 trust dimensions, it is generally safe but has some concerns. Last updated: 2026-07-30.
Yes, Pytgcalls is safe to use. Pytgcalls is a Python package with a Nerq Trust Score of 70.2/100 (B), based on 3 independent data dimensions. Recommended for production use. Security: 90/100. Popularity: 75/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-22. Machine-readable data (JSON).
Is Pytgcalls safe?
YES — Pytgcalls has a Nerq Trust Score of 70.2/100 (B). It meets Nerq's trust threshold with strong signals across security, maintenance, and community adoption. Recommended for production use — review the full report below for specific considerations.
What is Pytgcalls's trust score?
Pytgcalls has a Nerq Trust Score of 70.2/100, 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 Pytgcalls?
Pytgcalls's strongest signal is security at 90/100. No known vulnerabilities have been detected. It meets the Nerq Verified threshold of 70+.
What is Pytgcalls and who maintains it?
| Author | Il`ya Semyonov |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Pytgcalls
What is Pytgcalls?
Pytgcalls is a Python package — a library connecting the tgcalls Python binding with MTProto.
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=pytgcalls
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Trust Assessment
Pytgcalls has a Nerq Trust Score of 70/100 (B) and meets Nerq trust threshold. This score is based on automated analysis of security, maintenance, community, and quality signals.
Key Takeaways
- Pytgcalls has a Trust Score of 70/100 (B).
- Recommended for use — passes trust threshold.
- Always verify independently using the Nerq 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.