Apakah 53Aihub Aman?

53Aihub — Nerq Trust Score 59.6/100 (Nilai D). Skor berdasarkan 4 independent trust signals.

53Aihub adalah software tool dengan Skor Kepercayaan Nerq sebesar 59.6/100 (D), based on 4 dimensi data independen. Pemeliharaan: 0/100. Popularitas: 1/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: n/a. Data yang dapat dibaca mesin (JSON).

Apakah 53Aihub Aman?

Rincian Skor Kepercayaan — 53Aihub has a Nerq Trust Score of 59.6/100 (D). Measured across 4 independent trust signals.

Analisis Keamanan → Laporan Privasi 53Aihub →

Berapa skor kepercayaan 53Aihub?

53Aihub memiliki Skor Kepercayaan Nerq 59.6/100 dengan nilai D. Skor ini didasarkan pada 4 dimensi yang diukur secara independen.

Kepatuhan
100
Pemeliharaan
0
Dokumentasi
0
Popularitas
1

Apa temuan keamanan utama untuk 53Aihub?

Sinyal terkuat 53Aihub adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi.

⚠Pemeliharaan: 0/100 — aktivitas pemeliharaan rendah
⚠Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
⚠Dokumentasi: 0/100 — dokumentasi terbatas
⚠Popularitas: 1/100 — 9,146 bintang di mcp registry

Apa itu 53Aihub dan siapa yang mengelolanya?

Pembuat53AI
KategoriInfrastructure
Bintang9,146
Sumberhttps://github.com/53AI/53AIHub
Protocolsmcp

Kepatuhan Regulasi

EU AI Act Risk ClassNot assessed
Compliance Score100/100
JurisdictionsAssessed across 52 jurisdictions

Alternatif Populer di infrastructure

n8n-io/n8n
69.1/100 · C
github
langflow-ai/langflow
77.0/100 · B
github
langgenius/dify
69.7/100 · C
github
open-webui/open-webui
60.4/100 · C
github
google-gemini/gemini-cli
60.2/100 · C
github

What Is 53Aihub?

53Aihub is a software tool in the infrastructure category: 53AI Hub is an open-source AI portal, which enables you to quickly build a operational-level AI portal to launch and operate AI agents, prompts, and AI tools. It supports seamless integration with development platforms like Coze, Dify, FastGPT, RAGFlow.. It has 9,146 GitHub stars. Nerq Trust Score: 60/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including keamanan vulnerabilities, pemeliharaan activity, license kepatuhan, and adopsi komunitas.

How Nerq Assesses 53Aihub's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how 53Aihub performs in each:

The overall Trust Score of 59.6/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.

Who Typically Evaluates 53Aihub?

53Aihub is commonly evaluated by:

How to read the signals: 53Aihub's measured signals (pemeliharaan 0/100, dokumentasi 0/100, community 1/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.

How to Verify 53Aihub's Safety Yourself

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

  1. Check the source code — Tinjau repository keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in 53Aihub's dependency tree.
  3. Ulasan permissions — Understand what access 53Aihub requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run 53Aihub 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=53AIHub
  6. Tinjau license — Confirm that 53Aihub'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with 53Aihub

When evaluating whether 53Aihub is safe, consider these category-specific risks:

Data handling

Understand how 53Aihub processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency keamanan

Check 53Aihub's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.

Update frequency

Regularly check for updates to 53Aihub. Keamanan patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If 53Aihub 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 kepatuhan

Verify that 53Aihub's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using 53Aihub in violation of its license can expose your organization to legal liability.

Best Practices for Using 53Aihub Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from 53Aihub while minimizing risk:

Conduct regular audits

Periodically review how 53Aihub is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.

Keep dependencies updated

Ensure 53Aihub and all its dependencies are running the latest stable versions to benefit from keamanan patches.

Follow least privilege

Grant 53Aihub only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for keamanan advisories

Subscribe to 53Aihub's keamanan 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 53Aihub is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of 53Aihub

Nerq's signals are one input. In the following situations, evaluate 53Aihub's measured signals against your own requirements before making a decision:

For each situation, compare 53Aihub's measured trust score of 59.6/100 and its individual signals against your organization's own criteria. Nerq does not assert whether 53Aihub is suitable for any particular use.

How 53Aihub Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among infrastructure tools, the average Trust Score is 62/100. 53Aihub's score of 59.6/100 is near the category average of 62/100.

This places 53Aihub in line with the typical infrastructure 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 sedang 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 53Aihub 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 pemeliharaan patterns change, 53Aihub'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 keamanan and quality. Conversely, a downward trend may signal reduced pemeliharaan, growing technical debt, or unresolved vulnerabilities. To track 53Aihub's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=53AIHub&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 — keamanan, pemeliharaan, dokumentasi, kepatuhan, and community — has evolved independently, providing granular visibility into which aspects of 53Aihub are strengthening or weakening over time.

53Aihub vs Alternatif

In the infrastructure category, 53Aihub scores 59.6/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah 53Aihub Aman?
53AIHub dengan Skor Kepercayaan Nerq sebesar 59.6/100 (D). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Pemeliharaan (0/100), Popularitas (1/100), Dokumentasi (0/100).
Berapa skor kepercayaan 53Aihub?
53AIHub: 59.6/100 (D). Skor berdasarkan Pemeliharaan (0/100), Popularitas (1/100), Dokumentasi (0/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=53AIHub
Apa alternatif yang lebih aman dari 53Aihub?
Dalam kategori Infrastructure, higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). 53AIHub scores 59.6/100.
Seberapa sering skor keamanan 53Aihub diperbarui?
Nerq recomputes 53Aihub's trust score as new data becomes available. Current: 59.6/100 (D). API: GET nerq.ai/v1/preflight?target=53AIHub
Bisakah saya menggunakan 53Aihub di lingkungan yang diatur?
53Aihub: 59.6/100 (D). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Lihat juga

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