Är Streamlit Stacker säker?
Streamlit Stacker — Nerq Förtroendepoäng 53.6/100 (Betyg D). Baserat på analys av 1 tillitsdimensioner bedöms det som har anmärkningsvärda säkerhetsproblem. Senast uppdaterad: 2026-04-03.
Använd Streamlit Stacker med försiktighet. Streamlit Stacker är en software tool med ett Nerq-förtroendepoäng på 53.6/100 (D), baserat på 3 oberoende datadimensioner. Ligger under den rekommenderade gränsen på 70. Data hämtad från multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Senast uppdaterad: 2026-04-03. Maskinläsbar data (JSON).
Är Streamlit Stacker säker?
VAR FÖRSIKTIG — Streamlit Stacker har ett Nerq-förtroendepoäng på 53.6/100 (D). Har måttliga förtroendesignaler men uppvisar vissa oroande områden. Lämplig för utvecklingsanvändning — granska säkerhets- och underhållssignaler innan produktionsdriftsättning.
Vad är Streamlit Stackers förtroendepoäng?
Streamlit Stacker har ett Nerq-förtroendepoäng på 53.6/100 med betyget D. Denna poäng baseras på 1 oberoende mätta dimensioner inklusive säkerhet, underhåll och communityanvändning.
Vilka är de viktigaste säkerhetsresultaten för Streamlit Stacker?
Streamlit Stackers starkaste signal är regelefterlevnad på 100/100. Inga kända sårbarheter har upptäckts. Har ännu inte nått Nerqs verifieringströskel på 70+.
Vad är Streamlit Stacker och vem underhåller det?
| Utvecklare | Baptiste Ferrand |
| Kategori | uncategorized |
| Källa | https://pypi.org/project/streamlit-stacker/ |
Regelefterlevnad
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdiktions | Assessed across 52 jurisdiktions |
What Is Streamlit Stacker?
Streamlit Stacker is a software tool in the uncategorized category: Tool allowing to stack streamlit commands and resolve them in a controlable manner.. Nerq Förtroendepoäng: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including säkerhet vulnerabilities, underhåll activity, license regelefterlevnad, and communityanvändning.
How Nerq Assesses Streamlit Stacker's Safety
Nerq's Förtroendepoäng is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Streamlit Stacker performs in each:
- Compliance (100/100): Streamlit Stacker is broadly compliant. Assessed against regulations in 52 jurisdiktions including the EU AI Act, CCPA, and GDPR.
The overall Förtroendepoäng of 53.6/100 (D) reflects the weighted combination of these signals. This is below the Nerq Verified threshold of 70. We recommend additional due diligence before production deployment.
Who Should Use Streamlit Stacker?
Streamlit Stacker is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Streamlit Stacker is suitable for development and testing environments. Before production deployment, conduct a thorough review of its säkerhet posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Streamlit Stacker's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Granska repository säkerhet policy, open issues, and recent commits for signs of active underhåll.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for kända sårbarheter in Streamlit Stacker's dependency tree. - Recension permissions — Understand what access Streamlit Stacker requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Streamlit Stacker in a sandboxed environment before granting access to production data or systems.
- Monitor continuously — Use Nerq's API to set up automated trust checks:
GET nerq.ai/v1/preflight?target=streamlit-stacker - Granska license — Confirm that Streamlit Stacker's license is compatible with your intended use case. Pay attention to restrictions on commercial use, redistribution, and derivative works. Some AI tools use dual licensing or have separate terms for enterprise customers that differ from the open-source license.
- Check community signals — Look at the project's issue tracker, discussion forums, and social media presence. A healthy community actively reports bugs, contributes fixes, and discusses säkerhet concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Streamlit Stacker
When evaluating whether Streamlit Stacker is safe, consider these category-specific risks:
Understand how Streamlit Stacker processes, stores, and transmits your data. Granska tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Streamlit Stacker's dependency tree for kända sårbarheter. Tools with outdated or unmaintained dependencies pose a higher säkerhet risk.
Regularly check for updates to Streamlit Stacker. Säkerhet patches and bug fixes are only effective if you're running the latest version.
If Streamlit Stacker connects to external APIs or services, each integration point is a potential attack surface. Audit all third-party connections, verify that data shared with external services is minimized, and ensure that integration credentials are rotated regularly.
Verify that Streamlit Stacker's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Streamlit Stacker in violation of its license can expose your organization to legal liability.
Best Practices for Using Streamlit Stacker Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Streamlit Stacker while minimizing risk:
Periodically review how Streamlit Stacker is used in your workflow. Check for unexpected behavior, permissions drift, and regelefterlevnad with your säkerhet policies.
Ensure Streamlit Stacker and all its dependencies are running the latest stable versions to benefit from säkerhet patches.
Grant Streamlit Stacker only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Streamlit Stacker's säkerhet advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Streamlit Stacker is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Streamlit Stacker?
Even promising tools aren't right for every situation. Consider avoiding Streamlit Stacker in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional regelefterlevnad review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Streamlit Stacker är 53.6/100 meets your organization's risk tolerance. We recommend running a manual säkerhet assessment alongside the automated Nerq score.
How Streamlit Stacker Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Förtroendepoäng is 62/100. Streamlit Stacker's score of 53.6/100 is near the category average of 62/100.
This places Streamlit Stacker in line with the typical uncategorized tool tool. It meets baseline expectations but does not distinguish itself from peers on trust metrics.
Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks måttlig in isolation may actually represent strong performance within a challenging category — or vice versa. Nerq's category-relative analysis helps teams make informed decisions by showing not just absolute quality, but how a tool ranks against its direct peers.
Förtroendepoäng History
Nerq continuously monitors Streamlit Stacker and recalculates its Förtroendepoäng as new data becomes available. Our scoring engine ingests real-time signals from source repositories, vulnerability databases (NVD, OSV.dev), package registries, and community metrics. When a new CVE is published, a major release ships, or underhåll patterns change, Streamlit Stacker's score is updated within 24 hours.
Historical trust trends reveal whether a tool is improving, stable, or declining over time. A tool that consistently maintains or improves its score demonstrates ongoing commitment to säkerhet and quality. Conversely, a downward trend may signal reduced underhåll, growing technical debt, or unresolved vulnerabilities. To track Streamlit Stacker's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=streamlit-stacker&include=history
Nerq retains trust score snapshots at regular intervals, enabling trend analysis across weeks and months. Enterprise users can access detailed historical reports showing how each dimension — säkerhet, underhåll, dokumentation, regelefterlevnad, and community — has evolved independently, providing granular visibility into which aspects of Streamlit Stacker are strengthening or weakening over time.
Viktigaste slutsatser
- Streamlit Stacker has a Förtroendepoäng of 53.6/100 (D) and is not yet Nerq Verified.
- Streamlit Stacker shows måttlig trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Streamlit Stacker scores near the category average of 62/100, suggesting room for improvement relative to peers.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
Vanliga frågor
Är Streamlit Stacker säker att använda?
Vad är Streamlit Stacker's trust score?
Vilka säkrare alternativ finns till Streamlit Stacker?
How often is Streamlit Stacker's safety score updated?
Kan jag använda Streamlit Stacker i en reglerad miljö?
Disclaimer: Nerqs förtroendepoäng är automatiserade bedömningar baserade på offentligt tillgängliga signaler. De utgör inte rekommendationer eller garantier. Gör alltid din egen verifiering.