Is Raphtory Safe?

Raphtory is a software tool with a Nerq Trust Score of 68.6/100 (C). It is below the recommended threshold of 70. Security: 0/100. Maintenance: 0/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-23. Machine-readable data (JSON).

Is Raphtory safe?

CAUTION — Raphtory has a Nerq Trust Score of 68.6/100 (C). 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.

Trust Score Breakdown

Security
0
Compliance
80
Maintenance
0
Documentation
0
Popularity
0

Key Findings

Security score: 0/100 (weak)
Maintenance: 0/100 — low maintenance activity
Compliance: 80/100 — covers 41 of 52 jurisdictions
Documentation: 0/100 — limited documentation
Popularity: 0/100 — 569 stars on github

Details

AuthorUnknown
Categoryuncategorized
Stars569
Sourcehttps://github.com/Pometry/Raphtory

Regulatory Compliance

EU AI Act Risk ClassNot assessed
Compliance Score80/100
JurisdictionsAssessed across 52 jurisdictions

What Is Raphtory?

Raphtory is a software tool in the uncategorized category: Scalable graph analytics database powered by a multithreaded, vectorized temporal engine, written in Rust. It has 569 GitHub stars. Nerq Trust Score: 69/100 (C).

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 Raphtory's Safety

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

The overall Trust Score of 68.6/100 (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 Raphtory?

Raphtory is designed for:

Risk guidance: Raphtory 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 Raphtory's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Review the repository's security policy, open issues, and recent commits for signs of active maintenance.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Raphtory's dependency tree.
  3. Review permissions — Understand what access Raphtory requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Raphtory 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=Pometry/Raphtory
  6. Review the license — Confirm that Raphtory'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 security concerns openly. Low community engagement may indicate limited peer review of the codebase.

Common Safety Concerns with Raphtory

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

Data handling

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

Dependency security

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

Update frequency

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

Third-party integrations

If Raphtory 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 compliance

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

Best Practices for Using Raphtory Safely

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

Conduct regular audits

Periodically review how Raphtory is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.

Keep dependencies updated

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

Follow least privilege

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

Monitor for security advisories

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

When Should You Avoid Raphtory?

Even promising tools aren't right for every situation. Consider avoiding Raphtory in these scenarios:

For each scenario, evaluate whether Raphtory's trust score of 68.6/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.

How Raphtory 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. Raphtory's score of 68.6/100 is above the category average of 62/100.

This positions Raphtory favorably among uncategorized tools. While it outperforms the average, there is still room for improvement in certain trust dimensions.

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

Key Takeaways

Frequently Asked Questions

Is Raphtory safe to use?
Pometry/Raphtory has a Nerq Trust Score of 68.6/100 (C). Strongest signal: compliance (80/100). Has not yet reached the Nerq Verified threshold of 70. Score based on security (0/100), maintenance (0/100), popularity (0/100), documentation (0/100).
What is Raphtory's trust score?
Pometry/Raphtory: 68.6/100 (C). Score based on: security (0/100), maintenance (0/100), popularity (0/100), documentation (0/100). Compliance: 80/100. Scores update as new data becomes available. API: GET nerq.ai/v1/preflight?target=Pometry/Raphtory
What are safer alternatives to Raphtory?
In the uncategorized category, more software tools are being analyzed — check back soon. Pometry/Raphtory scores 68.6/100.
How often is Raphtory's safety score updated?
Nerq continuously monitors Raphtory and updates its trust score as new data becomes available. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Current: 68.6/100 (C), last verified 2026-03-23. API: GET nerq.ai/v1/preflight?target=Pometry/Raphtory
Can I use Raphtory in a regulated environment?
Raphtory has not reached the Nerq Verified threshold of 70. Additional due diligence is recommended for regulated environments.
API: /v1/preflight Trust Badge API Docs

Disclaimer: Nerq trust scores are automated assessments based on publicly available signals. They are not endorsements or guarantees. Always conduct your own due diligence.