Is Go Code Graph Safe?
Go Code Graph is a software tool with a Nerq Trust Score of 44.7/100 (E). It is below the recommended threshold of 70. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-24. Machine-readable data (JSON).
Is Go Code Graph safe?
NO — USE WITH CAUTION — Go Code Graph has a Nerq Trust Score of 44.7/100 (E). It has below-average trust signals with significant gaps in security, maintenance, or documentation. Not recommended for production use without thorough manual review and additional security measures.
Trust Score Breakdown
Key Findings
Details
| Author | https://github.com/brutski/go-code-graph |
| Category | coding |
| Stars | 14 |
| Source | https://github.com/brutski/go-code-graph |
Popular Alternatives in coding
What Is Go Code Graph?
Go Code Graph is a software tool in the coding category: Analyzes Go codebases using AST parsing and Neo4j graph storage.. It has 14 GitHub stars. Nerq Trust Score: 45/100 (E).
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 Go Code Graph's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Go Code Graph performs in each:
- Maintenance (0/100): Go Code Graph 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 documentation, usage examples, and contribution guidelines.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 44.7/100 (E) 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 Go Code Graph?
Go Code Graph is designed for:
- Developers and teams working with coding tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
Risk guidance: We recommend caution with Go Code Graph. The low trust score suggests potential risks in security, maintenance, or community support. Consider using a more established alternative for any production or sensitive workload.
How to Verify Go Code Graph'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 Go Code Graph's dependency tree. - Review permissions — Understand what access Go Code Graph requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Go Code Graph 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=Go Code Graph - Review the license — Confirm that Go Code Graph'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 Go Code Graph
When evaluating whether Go Code Graph is safe, consider these category-specific risks:
Understand how Go Code Graph processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Go Code Graph's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Go Code Graph. Security patches and bug fixes are only effective if you're running the latest version.
If Go Code Graph 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 Go Code Graph's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Go Code Graph in violation of its license can expose your organization to legal liability.
Best Practices for Using Go Code Graph Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Go Code Graph while minimizing risk:
Periodically review how Go Code Graph is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Go Code Graph and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Go Code Graph only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Go Code Graph's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Go Code Graph is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Go Code Graph?
Even promising tools aren't right for every situation. Consider avoiding Go Code Graph 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 Go Code Graph's trust score of 44.7/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Go Code Graph 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. Go Code Graph's score of 44.7/100 is below the category average of 62/100.
This suggests that Go Code Graph trails behind many comparable coding tools. Organizations with strict security requirements should evaluate whether higher-scoring alternatives better meet their needs.
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 Go Code Graph 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, Go Code Graph'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 Go Code Graph's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Go Code Graph&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 Go Code Graph are strengthening or weakening over time.
Go Code Graph vs Alternatives
In the coding category, Go Code Graph scores 44.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Go Code Graph vs AutoGPT — Trust Score: 74.7/100
- Go Code Graph vs ollama — Trust Score: 73.8/100
- Go Code Graph vs langchain — Trust Score: 86.4/100
Key Takeaways
- Go Code Graph has a Trust Score of 44.7/100 (E) and is not yet Nerq Verified.
- Go Code Graph has significant trust gaps. Consider higher-rated alternatives unless specific requirements mandate its use.
- Among coding tools, Go Code Graph scores below 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.
Frequently Asked Questions
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Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.