Is Slack Sdk Safe?
Slack Sdk — Nerq Trust Score 80.8/100 (A- grade). Score based on 2 independent trust signals. Last analyzed: 2026-07-21
Slack Sdk is a Python package with a Nerq Trust Score of 80.8/100 (A-), based on 3 independent data dimensions. Last analyzed: 2026-07-21 Security: 90/100. Popularity: 100/100. Data sourced from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-07-21. Machine-readable data (JSON).
Is Slack Sdk safe?
Trust Score Breakdown — Slack Sdk has a Nerq Trust Score of 80.8/100 (A-). Measured across 2 independent trust signals (as of 2026-07-21).
What is Slack Sdk's trust score?
Slack Sdk has a Nerq Trust Score of 80.8/100, earning a A- grade. This score is based on 2 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Slack Sdk?
Slack Sdk's strongest signal is popularity at 100/100. No known vulnerabilities have been detected.
What is Slack Sdk and who maintains it?
| Author | Slack Technologies, LLC |
| Category | Python Packages |
| Source | N/A |
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Safety Guide: Slack Sdk
What is Slack Sdk?
Slack Sdk is a Python package — The Slack API Platform SDK for Python.
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=slack-sdk
Key Safety Concerns for Python package
When evaluating any Python package, watch for: dependency vulnerabilities, malicious uploads, maintenance status.
Measured Signals
Slack Sdk has a Nerq Trust Score of 81/100 (A-). This score is a composite of automated measurements of security, maintenance, community, and quality signals.
Key Takeaways
- Slack Sdk has a Trust Score of 81/100 (A-).
- 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.
Detailed Score Analysis
| Dimension | Score |
|---|---|
| Security | 90/100 |
| Maintenance | 100/100 |
| Popularity | 100/100 |
| Quality | 65/100 |
| Community | 35/100 |
Based on 5 dimensions. Data from PyPI registry, GitHub repository, NVD, OSV.dev, and OpenSSF Scorecard.
What data does Slack Sdk collect?
Slack Sdk is a Python package maintained by Slack Technologies, LLC. It receives approximately 18,872,879 weekly downloads. Licensed under MIT.
As a development package, Slack Sdk does not directly collect end-user personal data. However, applications built with it may collect data depending on implementation. Privacy score: 80/100.
Review the package's dependencies for potential supply chain risks. Run your package manager's audit command regularly.
Full analysis: Slack Sdk Privacy Report · Privacy review
Is Slack Sdk secure?
Security score: 90/100. Slack Sdk has 0 known vulnerabilities (CVEs) in the National Vulnerability Database. This is a clean record.
Licensed under MIT, 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: Slack Sdk Security Report
How we calculated this score
Slack Sdk's trust score of 80.8/100 (A-) 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 (100/100), quality (65/100), 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.
Signals last measured on July 21, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON 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.