Je Projectsbyram bezpečný?

Projectsbyram — Nerq Trust Score 65.2/100 (Stupeň C). Na základě analýzy 5 dimenzí důvěryhodnosti je obecně bezpečný, ale s některými obavami. Naposledy aktualizováno: 2026-04-23.

Používejte Projectsbyram s opatrností. Projectsbyram je software tool se skóre důvěryhodnosti Nerq 65.2/100 (C), based on 5 nezávislých datových dimenzích. Pod ověřeným prahem Nerq Bezpečnost: 0/100. Údržba: 1/100. Popularita: 0/100. Data pocházejí z více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard. Naposledy aktualizováno: 2026-04-23. Strojově čitelná data (JSON).

Je Projectsbyram bezpečný?

CAUTION — Projectsbyram has a Nerq Trust Score of 65.2/100 (C). Má střední signály důvěryhodnosti, ale vykazuje některé oblasti k pozornosti that warrant attention. Suitable for development use — review bezpečnost and údržba signals before production deployment.

Bezpečnostní analýza → Zpráva o soukromí Projectsbyram →

Jaké je skóre důvěryhodnosti Projectsbyram?

Projectsbyram má Nerq skóre důvěryhodnosti 65.2/100 se stupněm C. Toto skóre je založeno na 5 nezávisle měřených dimenzích.

Bezpečnost
0
Shoda
54
Údržba
1
Dokumentace
0
Popularita
0

Jaká jsou klíčová bezpečnostní zjištění pro Projectsbyram?

Nejsilnější signál Projectsbyram je shoda na 54/100. Nebyly zjištěny žádné známé zranitelnosti. Dosud nedosáhl ověřeného prahu Nerq 70+.

Bezpečnostní skóre: 0/100 (slabý)
Údržba: 1/100 — nízká údržba
Shoda: 54/100 — covers 28 of 52 jurisdictions
Dokumentace: 0/100 — omezená dokumentace
Popularita: 0/100 — přijetí komunitou

Co je Projectsbyram a kdo jej spravuje?

Autorbsriramtechie28-star
KategorieCoding
Zdrojhttps://github.com/bsriramtechie28-star/ProjectsByRAM
Frameworksopenai

Regulační shoda

EU AI Act Risk ClassMINIMAL
Compliance Score54/100
JurisdictionsAssessed across 52 jurisdictions

Populární alternativy v coding

Significant-Gravitas/AutoGPT
74.7/100 · B
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ollama/ollama
73.8/100 · B
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langchain-ai/langchain
71.3/100 · B
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
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anomalyco/opencode
64.1/100 · C+
github

What Is Projectsbyram?

Projectsbyram is a software tool in the coding category: Developed an end-to-end autonomous driving system using Python and CARLA simulator.. Nerq Trust Score: 65/100 (C).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including bezpečnost vulnerabilities, údržba activity, license shoda, and přijetí komunitou.

How Nerq Assesses Projectsbyram's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimenzích. Here is how Projectsbyram performs in each:

The overall Trust Score of 65.2/100 (C) 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 Projectsbyram?

Projectsbyram is designed for:

Risk guidance: Projectsbyram is suitable for development and testing environments. Before production deployment, conduct a thorough review of its bezpečnost posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.

How to Verify Projectsbyram's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Zkontrolujte repository's bezpečnost policy, open issues, and recent commits for signs of active údržba.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Projectsbyram's dependency tree.
  3. Recenze permissions — Understand what access Projectsbyram requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Projectsbyram in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=ProjectsByRAM
  6. Zkontrolujte license — Confirm that Projectsbyram'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.
  7. 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 bezpečnost concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Projectsbyram

When evaluating whether Projectsbyram is safe, consider these category-specific risks:

Data handling

Understand how Projectsbyram processes, stores, and transmits your data. Zkontrolujte tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency bezpečnost

Check Projectsbyram's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher bezpečnost risk.

Update frequency

Regularly check for updates to Projectsbyram. Bezpečnost patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Projectsbyram 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.

License and IP shoda

Verify that Projectsbyram's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Projectsbyram in violation of its license can expose your organization to legal liability.

Projectsbyram and the EU AI Act

Projectsbyram is classified as Minimal Risk under the EU AI Act. This is the lowest risk category, meaning it faces minimal regulatory requirements. However, transparency obligations still apply.

Nerq's shoda assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal shoda.

Best Practices for Using Projectsbyram Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Projectsbyram while minimizing risk:

Conduct regular audits

Periodically review how Projectsbyram is used in your workflow. Check for unexpected behavior, permissions drift, and shoda with your bezpečnost policies.

Keep dependencies updated

Ensure Projectsbyram and all its dependencies are running the latest stable versions to benefit from bezpečnost patches.

Follow least privilege

Grant Projectsbyram only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for bezpečnost advisories

Subscribe to Projectsbyram's bezpečnost advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Projectsbyram is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Projectsbyram?

Even promising tools aren't right for every situation. Consider avoiding Projectsbyram in these scenarios:

For each scenario, evaluate whether Projectsbyram's trust score of 65.2/100 meets your organization's risk tolerance. We recommend running a manual bezpečnost assessment alongside the automated Nerq score.

How Projectsbyram Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among coding tools, the average Trust Score is 62/100. Projectsbyram's score of 65.2/100 is above the category average of 62/100.

This positions Projectsbyram favorably among coding tools. While it outperforms the average, there is still room for improvement in certain trust dimenzích.

Industry benchmarks matter because they contextualize a tool's safety profile. A score that looks střední 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.

Trust Score History

Nerq continuously monitors Projectsbyram and recalculates its Trust Score 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 údržba patterns change, Projectsbyram'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 bezpečnost and quality. Conversely, a downward trend may signal reduced údržba, growing technical debt, or unresolved vulnerabilities. To track Projectsbyram's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ProjectsByRAM&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 — bezpečnost, údržba, dokumentace, shoda, and community — has evolved independently, providing granular visibility into which aspects of Projectsbyram are strengthening or weakening over time.

Projectsbyram vs Alternativy

In the coding category, Projectsbyram scores 65.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Hlavní závěry

Podrobná analýza skóre

DimensionScore
Bezpečnost0/100
Údržba1/100
Popularita0/100

Založeno na 3 dimenzích. Data from více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard.

Jaká data Projectsbyram shromažďuje?

Soukromí assessment for Projectsbyram is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.

Je Projectsbyram bezpečný?

Bezpečnost score: 0/100. Review bezpečnost practices and consider alternatives with higher bezpečnost scores for sensitive use cases.

Nerq monitoruje tuto entitu oproti NVD, OSV.dev a databázím zranitelností specifickým pro registry pro průběžné bezpečnostní hodnocení.

Úplná analýza: Bezpečnostní zpráva Projectsbyram

Jak jsme vypočítali toto skóre

Projectsbyram's trust score of 65.2/100 (C) je vypočítáno z více veřejných zdrojů včetně registrů balíčků, GitHubu, NVD, OSV.dev a OpenSSF Scorecard. Skóre odráží 3 nezávislých dimenzí: bezpečnost (0/100), údržba (1/100), popularita (0/100). Každá dimenze má stejnou váhu pro vytvoření souhrnného skóre důvěryhodnosti.

Nerq analyzuje více než 7,5 milionu entit ve 26 registrech pomocí stejné metodologie, což umožňuje přímé srovnání mezi entitami. Skóre jsou průběžně aktualizována, jakmile jsou k dispozici nová data.

Tato stránka byla naposledy zkontrolována April 23, 2026. Verze dat: 1.0.

Kompletní dokumentace metodologie · Strojově čitelná data (JSON API)

Často kladené otázky

Je Projectsbyram bezpečný?
Používejte s opatrností. ProjectsByRAM se skóre důvěryhodnosti Nerq 65.2/100 (C). Nejsilnější signál: shoda (54/100). Skóre založeno na Bezpečnost (0/100), Údržba (1/100), Popularita (0/100), Dokumentace (0/100).
Jaké je skóre důvěryhodnosti Projectsbyram?
ProjectsByRAM: 65.2/100 (C). Skóre založeno na Bezpečnost (0/100), Údržba (1/100), Popularita (0/100), Dokumentace (0/100). Compliance: 54/100. Skóre se aktualizují, jakmile jsou k dispozici nová data. API: GET nerq.ai/v1/preflight?target=ProjectsByRAM
Jaké jsou bezpečnější alternativy k Projectsbyram?
V kategorii Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (71/100). ProjectsByRAM scores 65.2/100.
Jak často se aktualizuje bezpečnostní skóre Projectsbyram?
Nerq continuously monitors Projectsbyram and updates its trust score as new data becomes available. Current: 65.2/100 (C), last ověřeno 2026-04-23. API: GET nerq.ai/v1/preflight?target=ProjectsByRAM
Mohu používat Projectsbyram v regulovaném prostředí?
Projectsbyram nedosáhl prahu ověření Nerq 70. Doporučuje se dodatečné přezkoumání.
API: /v1/preflight Trust Badge API Docs

Viz také

Disclaimer: Skóre důvěryhodnosti Nerq jsou automatizovaná hodnocení založená na veřejně dostupných signálech. Nejsou doporučením ani zárukou. Vždy proveďte vlastní ověření.

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