Apakah Scienceqa Aman?
Scienceqa — Nerq Trust Score 59.7/100 (Nilai D). Berdasarkan analisis 4 dimensi kepercayaan, dianggap memiliki masalah keamanan yang perlu diperhatikan. Terakhir diperbarui: 2026-04-06.
Gunakan Scienceqa dengan hati-hati. Scienceqa adalah software tool dengan Skor Kepercayaan Nerq sebesar 59.7/100 (D), based on 4 dimensi data independen. Di bawah ambang batas terverifikasi Nerq Pemeliharaan: 0/100. Popularitas: 1/100. Data bersumber dari berbagai sumber publik termasuk registri paket, GitHub, NVD, OSV.dev, dan OpenSSF Scorecard. Terakhir diperbarui: 2026-04-06. Data yang dapat dibaca mesin (JSON).
Apakah Scienceqa Aman?
CAUTION — Scienceqa has a Nerq Trust Score of 59.7/100 (D). 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 Scienceqa?
Scienceqa memiliki Skor Kepercayaan Nerq 59.7/100 dengan nilai D. Skor ini didasarkan pada 4 dimensi yang diukur secara independen.
Apa temuan keamanan utama untuk Scienceqa?
Sinyal terkuat Scienceqa adalah kepatuhan pada 100/100. Tidak ada kerentanan yang diketahui terdeteksi. Belum mencapai ambang verifikasi Nerq 70+.
Apa itu Scienceqa dan siapa yang mengelolanya?
| Pembuat | derek-thomas |
| Kategori | Research |
| Bintang | 207 |
| Sumber | https://huggingface.co/datasets/derek-thomas/ScienceQA |
| Protocols | huggingface_api |
Kepatuhan Regulasi
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternatif Populer di research
What Is Scienceqa?
Scienceqa is a software tool in the research category: ScienceQA is an AI agent for answering science questions.. It has 207 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 Scienceqa's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensi. Here is how Scienceqa performs in each:
- Pemeliharaan (0/100): Scienceqa is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (0/100): Documentation quality is insufficient. This includes README completeness, API dokumentasi, usage examples, and contribution guidelines.
- Compliance (100/100): Scienceqa is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. Berdasarkan GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.7/100 (D) 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 Scienceqa?
Scienceqa is designed for:
- Developers and teams working with research tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Scienceqa 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 Scienceqa'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 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 Scienceqa's dependency tree. - Ulasan permissions — Understand what access Scienceqa requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Scienceqa 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=ScienceQA - Tinjau license — Confirm that Scienceqa'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 Scienceqa
When evaluating whether Scienceqa is safe, consider these category-specific risks:
Understand how Scienceqa processes, stores, and transmits your data. Tinjau tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Scienceqa's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher keamanan risk.
Regularly check for updates to Scienceqa. Keamanan patches and bug fixes are only effective if you're running the latest version.
If Scienceqa 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 Scienceqa's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Scienceqa in violation of its license can expose your organization to legal liability.
Scienceqa and the EU AI Act
Scienceqa 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 Scienceqa Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Scienceqa while minimizing risk:
Periodically review how Scienceqa is used in your workflow. Check for unexpected behavior, permissions drift, and kepatuhan with your keamanan policies.
Ensure Scienceqa and all its dependencies are running the latest stable versions to benefit from keamanan patches.
Grant Scienceqa only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Scienceqa's keamanan advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Scienceqa is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Scienceqa?
Even promising tools aren't right for every situation. Consider avoiding Scienceqa 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 Scienceqa's trust score of 59.7/100 meets your organization's risk tolerance. We recommend running a manual keamanan assessment alongside the automated Nerq score.
How Scienceqa Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among research tools, the average Trust Score is 62/100. Scienceqa's score of 59.7/100 is near the category average of 62/100.
This places Scienceqa in line with the typical research 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 Scienceqa 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, Scienceqa'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 Scienceqa's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ScienceQA&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 Scienceqa are strengthening or weakening over time.
Scienceqa vs Alternatif
In the research category, Scienceqa scores 59.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Scienceqa vs gpt_academic — Trust Score: 71.3/100
- Scienceqa vs LlamaFactory — Trust Score: 89.1/100
- Scienceqa vs unsloth — Trust Score: 86.6/100
Kesimpulan Utama
- Scienceqa has a Trust Score of 59.7/100 (D) and is not yet Nerq Verified.
- Scienceqa shows sedang trust signals. Conduct thorough due diligence before deploying to production environments.
- Among research tools, Scienceqa 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 Scienceqa Aman?
Berapa skor kepercayaan Scienceqa?
What are safer alternatives to Scienceqa?
How often is Scienceqa's safety score updated?
Can I use Scienceqa in a regulated environment?
Lihat juga
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