Apakah Simplellmfunc Aman?

Simplellmfunc — Nerq Trust Score 73.7/100 (Nilai B). Berdasarkan analisis 5 dimensi kepercayaan, dianggap umumnya aman tetapi memiliki beberapa kekhawatiran. Terakhir diperbarui: 2026-04-07.

Ya, Simplellmfunc aman digunakan. Simplellmfunc adalah software tool dengan Skor Kepercayaan Nerq sebesar 73.7/100 (B), based on 5 dimensi data independen. Direkomendasikan untuk digunakan. Keamanan: 0/100. Pemeliharaan: 1/100. Popularitas: 0/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-07. Data yang dapat dibaca mesin (JSON).

Apakah Simplellmfunc Aman?

YES — Simplellmfunc has a Nerq Trust Score of 73.7/100 (B). Memenuhi ambang batas kepercayaan Nerq dengan sinyal kuat di keamanan, pemeliharaan, dan adopsi komunitas. Direkomendasikan untuk digunakan — tinjau laporan lengkap di bawah untuk pertimbangan spesifik.

Analisis Keamanan → Laporan Privasi Simplellmfunc →

Berapa skor kepercayaan Simplellmfunc?

Simplellmfunc memiliki Skor Kepercayaan Nerq 73.7/100 dengan nilai B. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.

Keamanan
0
Kepatuhan
100
Pemeliharaan
1
Dokumentasi
1
Popularitas
0

Apa temuan keamanan utama untuk Simplellmfunc?

Sinyal terkuat Simplellmfunc adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Memenuhi ambang verifikasi Nerq 70+.

Skor keamanan: 0/100 (lemah)
Pemeliharaan: 1/100 — aktivitas pemeliharaan rendah
Kepatuhan: 100/100 — covers 52 of 52 jurisdictions
Dokumentasi: 1/100 — dokumentasi terbatas
Popularitas: 0/100 — 75 bintang di github

Apa itu Simplellmfunc dan siapa yang mengelolanya?

PembuatNiJingzhe
KategoriCoding
Bintang75
Sumberhttps://github.com/NiJingzhe/SimpleLLMFunc
Frameworkslangchain · openai · anthropic
Protocolsrest

Kepatuhan Regulasi

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

Alternatif Populer di coding

Significant-Gravitas/AutoGPT
74.7/100 · B
github
ollama/ollama
73.8/100 · B
github
langchain-ai/langchain
86.4/100 · A
github
x1xhlol/system-prompts-and-models-of-ai-tools
73.8/100 · B
github
anomalyco/opencode
87.9/100 · A
github

What Is Simplellmfunc?

Simplellmfunc is a software tool in the coding category: A simple LLM application framework for code-centric LLM capability integration.. It has 75 GitHub stars. Nerq Trust Score: 74/100 (B).

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 Simplellmfunc's Safety

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

The overall Trust Score of 73.7/100 (B) reflects the weighted combination of these signals. This exceeds the Nerq Verified threshold of 70, indicating the tool meets our standards for production use.

Who Should Use Simplellmfunc?

Simplellmfunc is designed for:

Risk guidance: Simplellmfunc meets the minimum threshold for production use, but we recommend monitoring for keamanan advisories and keeping dependencies up to date. Consider implementing additional guardrails for sensitive workloads.

How to Verify Simplellmfunc'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's 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 Simplellmfunc's dependency tree.
  3. Ulasan permissions — Understand what access Simplellmfunc requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Simplellmfunc 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=SimpleLLMFunc
  6. Tinjau license — Confirm that Simplellmfunc'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 Simplellmfunc

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

Data handling

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

Dependency keamanan

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

Update frequency

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

Third-party integrations

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

Simplellmfunc and the EU AI Act

Simplellmfunc 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 kepatuhan assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal kepatuhan.

Best Practices for Using Simplellmfunc Safely

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

Conduct regular audits

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

Keep dependencies updated

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

Follow least privilege

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

Monitor for keamanan advisories

Subscribe to Simplellmfunc'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 Simplellmfunc is used within your organization, including data handling guidelines and acceptable use cases.

When Should You Avoid Simplellmfunc?

Even well-trusted tools aren't right for every situation. Consider avoiding Simplellmfunc in these scenarios:

For each scenario, evaluate whether Simplellmfunc's trust score of 73.7/100 meets your organization's risk tolerance. The Nerq Verified status indicates general production readiness, but sector-specific requirements may apply.

How Simplellmfunc 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. Simplellmfunc's score of 73.7/100 is significantly above the category average of 62/100.

This places Simplellmfunc in the top tier of coding tools that Nerq tracks. Tools scoring this far above average typically demonstrate mature keamanan practices, consistent release cadence, and broad adopsi komunitas.

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 Simplellmfunc 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, Simplellmfunc'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 Simplellmfunc's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=SimpleLLMFunc&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 Simplellmfunc are strengthening or weakening over time.

Simplellmfunc vs Alternatif

In the coding category, Simplellmfunc scores 73.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Kesimpulan Utama

Pertanyaan yang Sering Diajukan

Apakah Simplellmfunc Aman?
Ya, aman digunakan. SimpleLLMFunc dengan Skor Kepercayaan Nerq sebesar 73.7/100 (B). Sinyal terkuat: kepatuhan (100/100). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100).
Berapa skor kepercayaan Simplellmfunc?
SimpleLLMFunc: 73.7/100 (B). Skor berdasarkan Keamanan (0/100), Pemeliharaan (1/100), Popularitas (0/100), Dokumentasi (1/100). Compliance: 100/100. Skor diperbarui saat data baru tersedia. API: GET nerq.ai/v1/preflight?target=SimpleLLMFunc
Apa alternatif yang lebih aman dari Simplellmfunc?
Dalam kategori Coding, higher-rated alternatives include Significant-Gravitas/AutoGPT (75/100), ollama/ollama (74/100), langchain-ai/langchain (86/100). SimpleLLMFunc scores 73.7/100.
Seberapa sering skor keamanan Simplellmfunc diperbarui?
Nerq continuously monitors Simplellmfunc and updates its trust score as new data becomes available. Current: 73.7/100 (B), last terverifikasi 2026-04-07. API: GET nerq.ai/v1/preflight?target=SimpleLLMFunc
Bisakah saya menggunakan Simplellmfunc di lingkungan yang diatur?
Simplellmfunc memenuhi ambang verifikasi Nerq (70+). Aman untuk penggunaan produksi.
API: /v1/preflight Trust Badge API Docs

Lihat juga

Disclaimer: Skor kepercayaan Nerq adalah penilaian otomatis berdasarkan sinyal yang tersedia secara publik. Ini bukan rekomendasi atau jaminan. Selalu lakukan verifikasi mandiri Anda sendiri.

Kami menggunakan cookie untuk analitik dan caching. Privasi