Is Opencodereasoning Safe?
Opencodereasoning — Nerq Trust Score 58.4/100 (D grade). Based on analysis of 1 trust dimensions, it is has notable safety concerns. Last updated: 2026-05-20.
Use Opencodereasoning with some caution. Opencodereasoning is a software tool (nvidia/OpenCodeReasoning) with a Nerq Trust Score of 58.4/100 (D), based on 3 independent data dimensions. Below the recommended threshold of 70. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-05-20. Machine-readable data (JSON).
Is Opencodereasoning safe?
CAUTION — Opencodereasoning has a Nerq Trust Score of 58.4/100 (D). It has moderate trust signals but shows some areas of concern that warrant attention. Suitable for development use — review security and maintenance signals before production deployment.
What is Opencodereasoning's trust score?
Opencodereasoning has a Nerq Trust Score of 58.4/100, earning a D grade. This score is based on 1 independently measured dimensions including security, maintenance, and community adoption.
What are the key security findings for Opencodereasoning?
Opencodereasoning's strongest signal is compliance at 87/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
What is Opencodereasoning and who maintains it?
| Author | nvidia |
| Category | Uncategorized |
| Stars | 525 |
| Source | https://huggingface.co/datasets/nvidia/OpenCodeReasoning |
| Protocols | huggingface_api |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Opencodereasoning Across Platforms
Same developer/company in other registries:
What Is Opencodereasoning?
Opencodereasoning is a software tool in the uncategorized category: nvidia/OpenCodeReasoning. It has 525 GitHub stars. Nerq Trust Score: 58/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including security vulnerabilities, maintenance activity, license compliance, and community adoption.
How Nerq Assesses Opencodereasoning's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Opencodereasoning performs in each:
- Compliance (87/100): Opencodereasoning is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 58.4/100 (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 Opencodereasoning?
Opencodereasoning is designed for:
- Developers and teams working with uncategorized tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: Opencodereasoning is suitable for development and testing environments. Before production deployment, conduct a thorough review of its security posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Opencodereasoning's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Review the repository security policy, open issues, and recent commits for signs of active maintenance.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Opencodereasoning's dependency tree. - Review permissions — Understand what access Opencodereasoning requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Opencodereasoning 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=OpenCodeReasoning - Review the license — Confirm that Opencodereasoning'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Opencodereasoning
When evaluating whether Opencodereasoning is safe, consider these category-specific risks:
Understand how Opencodereasoning processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Opencodereasoning's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Opencodereasoning. Security patches and bug fixes are only effective if you're running the latest version.
If Opencodereasoning 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 Opencodereasoning's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Opencodereasoning in violation of its license can expose your organization to legal liability.
Best Practices for Using Opencodereasoning Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Opencodereasoning while minimizing risk:
Periodically review how Opencodereasoning is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Opencodereasoning and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Opencodereasoning only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Opencodereasoning's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Opencodereasoning is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Opencodereasoning?
Even promising tools aren't right for every situation. Consider avoiding Opencodereasoning in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional compliance review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Opencodereasoning's trust score of 58.4/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Opencodereasoning Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Opencodereasoning's score of 58.4/100 is near the category average of 62/100.
This places Opencodereasoning in line with the typical uncategorized 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 moderate 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 Opencodereasoning 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 maintenance patterns change, Opencodereasoning'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 security and quality. Conversely, a downward trend may signal reduced maintenance, growing technical debt, or unresolved vulnerabilities. To track Opencodereasoning's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=OpenCodeReasoning&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 — security, maintenance, documentation, compliance, and community — has evolved independently, providing granular visibility into which aspects of Opencodereasoning are strengthening or weakening over time.
Key Takeaways
- Opencodereasoning has a Trust Score of 58.4/100 (D) and is not yet Nerq Verified.
- Opencodereasoning shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Opencodereasoning 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.
What data does Opencodereasoning collect?
Privacy assessment for Opencodereasoning is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Is Opencodereasoning secure?
Security score: under assessment. Review security practices and consider alternatives with higher security scores for sensitive use cases.
Nerq monitors this entity against NVD, OSV.dev, and registry-specific vulnerability databases for ongoing security assessment.
Full analysis: Opencodereasoning Security Report
Opencodereasoning Across Platforms
Same developer/company in other registries:
How we calculated this score
Opencodereasoning's trust score of 58.4/100 (D) is computed from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. The score reflects 0 independent dimensions: . Each dimension is weighted equally to produce the composite trust score.
Nerq analyzes over 7.5 million entities across 26 registries using the same methodology, enabling direct cross-entity comparison. Scores are updated continuously as new data becomes available.
This page was last reviewed on May 20, 2026. Data version: 1.0.
Full methodology documentation · Machine-readable data (JSON API)
Frequently Asked Questions
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See Also
Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.