Apakah Openflama Aman?
Openflama — Nerq Trust Score 55.2/100 (Nilai C). Berdasarkan analisis 5 dimensi kepercayaan, dianggap memiliki masalah keamanan yang perlu diperhatikan. Terakhir diperbarui: 2026-05-29.
Gunakan Openflama dengan hati-hati. Openflama adalah software tool dengan Skor Kepercayaan Nerq sebesar 55.2/100 (C), based on 5 dimensi data independen. Di bawah ambang batas terverifikasi Nerq 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: 2026-05-29. Data yang dapat dibaca mesin (JSON).
Apakah Openflama Aman?
CAUTION — Openflama has a Nerq Trust Score of 55.2/100 (C). Memiliki sinyal kepercayaan sedang tetapi menunjukkan beberapa area perhatian that warrant attention. Suitable for development use — review keamanan and pemeliharaan signals before production deployment.
Berapa skor kepercayaan Openflama?
Openflama memiliki Skor Kepercayaan Nerq 55.2/100 dengan nilai C. Skor ini didasarkan pada 5 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Openflama?
Sinyal terkuat Openflama adalah kepatuhan pada 82/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Openflama dan siapa yang mengelolanya?
| Pembuat | maquenflow |
| Kategori | Finance |
| Sumber | https://github.com/maquenflow/openflama |
| Frameworks | ollama |
| Protocols | rest |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 82/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di finance
What Is Openflama?
Openflama is a software tool in the finance category: OpenFlama is an open-source agentic finance runtime and forecasting engine.. Nerq Trust Score: 55/100 (C).
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 Openflama's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Openflama performs in each:
- Keamanan (0/100): Openflama's keamanan posture is poor. This score factors in known CVEs, dependency vulnerabilities, keamanan policy presence, and code signing practices.
- Pemeliharaan (1/100): Openflama is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API dokumentasi, usage examples, and contribution guidelines.
- Compliance (82/100): Openflama is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 55.2/100 (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 Openflama?
Openflama is designed for:
- Developers and teams working with finance tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Openflama is suitable for development and testing environments. Before production deployment, conduct a thorough review of its keamanan posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Openflama's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Tinjau repository's keamanan policy, open issues, and recent commits for signs of active pemeliharaan.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Openflama's dependency tree. - Ulasan permissions — Understand what access Openflama requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Openflama 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=openflama - Tinjau license — Confirm that Openflama'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 keamanan concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Openflama
When evaluating whether Openflama is safe, consider these category-specific risks:
Understand how Openflama processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Openflama's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Openflama. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Openflama 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 Openflama's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openflama in violation of its license can expose your organization to legal liability.
Openflama and the EU AI Act
Openflama 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 Openflama Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openflama while minimizing risk:
Periodically review how Openflama is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Openflama and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Openflama only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Openflama's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Openflama is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Openflama?
Even promising tools aren't right for every situation. Consider avoiding Openflama in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional kepatuhan review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Openflama's trust score of 55.2/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Openflama Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Openflama's score of 55.2/100 is near the category average of 62/100.
This places Openflama in line with the typical finance 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 Openflama 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, Openflama'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 Openflama's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=openflama&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 Openflama are strengthening or weakening over time.
Openflama vs Alternatif
In the finance category, Openflama scores 55.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Openflama vs OpenBB — Trust Score: 64.7/100
- Openflama vs qlib — Trust Score: 71.2/100
- Openflama vs TradingAgents — Trust Score: 65.5/100
Kesimpulan Utama
- Openflama has a Trust Score of 55.2/100 (C) and is not yet Nerq Verified.
- Openflama shows sedang trust signals. Conduct thorough due diligence before deploying to production environments.
- Among finance tools, Openflama 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.
Pertanyaan yang Sering Diajukan
Apakah Openflama Aman?
Berapa skor kepercayaan Openflama?
Apa alternatif yang lebih aman dari Openflama?
Seberapa sering skor keamanan Openflama diperbarui?
Bisakah saya menggunakan Openflama di lingkungan yang diatur?
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.