53Aihubは安全ですか?

53Aihub — Nerq Trust Score 59.6/100 (Dグレード). スコアの基準: 4 independent trust signals.

53Aihub はsoftware toolです Nerq信頼スコア59.6/100(D), 4つの独立したデータ次元に基づく. メンテナンス: 0/100. 人気度: 1/100. データソース: パッケージレジストリ、GitHub、NVD、OSV.dev、OpenSSF Scorecardを含む複数の公開ソース. 最終更新: n/a. 機械可読データ(JSON).

53Aihubは安全ですか?

信頼スコアの内訳 — 53Aihub has a Nerq Trust Score of 59.6/100 (D). Measured across 4 independent trust signals.

セキュリティ分析 → プライバシーレポート →

53Aihubの信頼スコアは?

53AihubのNerq信頼スコアは59.6/100で、Dグレードです。このスコアはセキュリティ、メンテナンス、コミュニティ採用を含む4の独立した次元に基づいています。

Compliance
100
メンテナンス
0
ドキュメント
0
人気度
1

53Aihubの主なセキュリティ調査結果は?

53Aihubの最も強いシグナルはコンプライアンスで100/100です。 既知の脆弱性は検出されていません。

⚠メンテナンス: 0/100 — メンテナンス活動が低い
⚠Compliance: 100/100 — covers 52 of 52 jurisdictions
⚠ドキュメント: 0/100 — 限定的な文書化
⚠人気度: 1/100 — 9,146 スター( mcp registry

53Aihubとは何で、誰が管理していますか?

作者53AI
カテゴリインフラストラクチャ
Stars9,146
Sourcehttps://github.com/53AI/53AIHub
Protocolsmcp

規制コンプライアンス

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

infrastructureの人気の代替品

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スター. Nerq Trust Score: 60/100 (D).

Nerq independently analyzes every software tool, app, and extension across multiple trust signals including セキュリティ vulnerabilities, メンテナンス activity, license コンプライアンス, and コミュニティでの採用.

How Nerq Assesses 53Aihub's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 次元. 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 (メンテナンス 0/100, ドキュメント 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 — 確認してください repository セキュリティ policy, open issues, and recent commits for signs of active メンテナンス.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in 53Aihub's dependency tree.
  3. レビュー 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. 確認してください 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 セキュリティ 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. 確認してください tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency セキュリティ

Check 53Aihub's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher セキュリティ risk.

Update frequency

Regularly check for updates to 53Aihub. セキュリティ 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 コンプライアンス

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 コンプライアンス with your セキュリティ policies.

Keep dependencies updated

Ensure 53Aihub and all its dependencies are running the latest stable versions to benefit from セキュリティ patches.

Follow least privilege

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

Monitor for セキュリティ advisories

Subscribe to 53Aihub's セキュリティ 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 中程度 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 メンテナンス 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 セキュリティ and quality. Conversely, a downward trend may signal reduced メンテナンス, 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 — セキュリティ, メンテナンス, ドキュメント, コンプライアンス, and community — has evolved independently, providing granular visibility into which aspects of 53Aihub are strengthening or weakening over time.

53Aihub vs 代替品

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

重要なポイント

よくある質問

53Aihubは安全ですか?
53AIHub Nerq信頼スコア59.6/100(D). 最も強いシグナル: コンプライアンス (100/100). スコアの基準: メンテナンス (0/100), 人気度 (1/100), ドキュメント (0/100).
53Aihubの信頼スコアは?
53AIHub: 59.6/100 (D). スコアの基準: メンテナンス (0/100), 人気度 (1/100), ドキュメント (0/100). Compliance: 100/100. 新しいデータが利用可能になるとスコアが更新さ���ます. API: GET nerq.ai/v1/preflight?target=53AIHub
53Aihubのより安全な代替は何ですか?
インフラストラクチャカテゴリでは、 higher-rated alternatives include n8n-io/n8n (69/100), langflow-ai/langflow (77/100), langgenius/dify (70/100). 53AIHub scores 59.6/100.
53Aihubの安全性スコアはどのくらいの頻度で更新されますか?
Nerq recomputes 53Aihub's trust score as new data becomes available. Current: 59.6/100 (D). API: GET nerq.ai/v1/preflight?target=53AIHub
規制環境で53Aihubを使用できますか?
53Aihub: 59.6/100 (D). Compliance: 52 of 52 jurisdictions. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

関連項目

Disclaimer: Nerqの信頼スコアは、公開されている情報に基づく自動評価です。推奨や保証ではありません。必ずご自身でも確認してください。

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