Is Spmd Types Safe?
Spmd Types — Nerq Trust Score 63.5/100 (C+ grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-22
Spmd Types is a Python package with a Nerq Trust Score of 63.5/100 (C+), based on 3 independent data dimensions. Last analyzed: 2026-07-22 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 Spmd Types safe?
Trust Score Breakdown — Spmd Types has a Nerq Trust Score of 63.5/100 (C+). Measured across 2 independent trust signals (as of 2026-07-22).
What is Spmd Types's trust score?
Spmd Types has a Nerq Trust Score of 63.5/100, 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 Spmd Types?
Spmd Types's strongest signal is security at 90/100. No known vulnerabilities have been detected.
What is Spmd Types and who maintains it?
| Author | Meta Platforms, Inc. |
| Category | Python Packages |
| Source | N/A |
Spmd Types Across Platforms
Same developer/company in other registries:
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Safety Guide: Spmd Types
What is Spmd Types?
Spmd Types is a Python package — A type system for distributed (SPMD) tensor computations in PyTorch.
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=spmd-types
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Spmd Types has a Nerq Trust Score of 64/100 (C+). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Spmd Types has a Trust Score of 64/100 (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.