Is Taichi Big Float Safe? — Trust Score: 54.0/100
According to Nerq's independent analysis of taichi-big-float, this uncategorized has a trust score of 54.0 out of 100, earning a D grade. With 0 stars on pypi_full, it is below the recommended threshold of 70. Compliance: 100/100 across 52 jurisdictions. Data sourced from 13+ independent signals including GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-03-18. Machine-readable data (JSON).
Is Taichi Big Float safe?
CAUTION — Taichi Big Float has a Nerq Trust Score of 54.0/100 (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.
Trust Assessment
Caution — taichi-big-float has below-average trust signals. There may be concerns around maintenance frequency, security practices, or ecosystem adoption. Proceed with care and conduct additional due diligence.
Trust Signal Breakdown
Details
| Author | unknown |
| Category | uncategorized |
| Stars | 0 |
| Source | https://pypi.org/project/taichi-big-float/ |
Regulatory Compliance
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Community Reviews
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What Is Taichi Big Float?
Taichi Big Float is a AI tool in the uncategorized category. Multiprecision type extension for taichi
As of March 2026, Taichi Big Float is available on pypi_full, making it an emerging tool in the AI ecosystem. But popularity alone does not equal safety — which is why Nerq independently analyzes every tool across 13+ trust signals.
How Nerq Assesses Taichi Big Float's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Taichi Big Float performs in each:
- Compliance (100/100): Taichi Big Float is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
The overall Trust Score of 54.0/100 (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 Taichi Big Float?
Taichi Big Float 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: Taichi Big Float 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 Taichi Big Float's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any AI 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 Taichi Big Float's dependency tree. - Review permissions — Understand what access Taichi Big Float requires. AI tools should follow the principle of least privilege.
- Test in isolation — Run Taichi Big Float 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=taichi-big-float - Review the license — Confirm that Taichi Big Float'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 Taichi Big Float
When evaluating whether Taichi Big Float is safe, consider these category-specific risks:
Understand how Taichi Big Float processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Taichi Big Float's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Taichi Big Float. Security patches and bug fixes are only effective if you're running the latest version.
If Taichi Big Float 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 Taichi Big Float's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Taichi Big Float in violation of its license can expose your organization to legal liability.
Best Practices for Using Taichi Big Float Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Taichi Big Float while minimizing risk:
Periodically review how Taichi Big Float is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Taichi Big Float and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Taichi Big Float only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Taichi Big Float's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Taichi Big Float is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Taichi Big Float?
Even promising tools aren't right for every situation. Consider avoiding Taichi Big Float 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 Taichi Big Float's trust score of 54.0/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Taichi Big Float Compares to Industry Standards
Nerq indexes over 204,000 AI agents and tools across dozens of categories. Among uncategorized tools, the average Trust Score is 62/100. Taichi Big Float's score of 54.0/100 is near the category average of 62/100.
This places Taichi Big Float 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 Taichi Big Float 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, Taichi Big Float'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 Taichi Big Float's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=taichi-big-float&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 Taichi Big Float are strengthening or weakening over time.
Key Takeaways
- Taichi Big Float has a Trust Score of 54.0/100 (D) and is not yet Nerq Verified.
- Taichi Big Float shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Taichi Big Float 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.
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.