क्या Databricks Code Assist सुरक्षित है?
Databricks Code Assist — Nerq Trust Score 64.9/100 (C ग्रेड). 5 विश्वास आयामों के विश्लेषण के आधार पर, इसे आम तौर पर सुरक्षित लेकिन कुछ चिंताएं हैं माना जाता है। अंतिम अपडेट: 2026-04-01।
Databricks Code Assist का उपयोग सावधानी से करें। Databricks Code Assist is a software tool Nerq विश्वास स्कोर के साथ 64.9/100 (C), based on 5 independent data dimensions. यह अनुशंसित सीमा 70 से नीचे है। Security: 0/100. Maintenance: 1/100. Popularity: 0/100. Data sourced from multiple public sources including package registries, GitHub, NVD, OSV.dev, and OpenSSF Scorecard. Last updated: 2026-04-01. मशीन पठनीय डेटा (JSON).
क्या Databricks Code Assist सुरक्षित है?
सावधानी — Databricks Code Assist का Nerq विश्वास स्कोर है 64.9/100 (C). मध्यम विश्वास संकेत हैं, लेकिन ध्यान देने योग्य कुछ चिंताजनक क्षेत्र भी हैं. डेवलपमेंट उपयोग के लिए उपयुक्त — प्रोडक्शन तैनाती से पहले सुरक्षा और रखरखाव संकेतों की जांच करें.
Databricks Code Assist का विश्वास स्कोर क्या है?
Databricks Code Assist का Nerq विश्वास स्कोर है 64.9/100, earning a C grade. This score is based on 5 independently measured dimensions including security, maintenance, and community adoption.
Databricks Code Assist के प्रमुख सुरक्षा निष्कर्ष क्या हैं?
Databricks Code Assist's strongest signal is अनुपालन at 87/100. No known vulnerabilities have been detected. It has not yet reached the Nerq Verified threshold of 70+.
Databricks Code Assist क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | marcjimz |
| श्रेणी | coding |
| स्रोत | https://github.com/marcjimz/databricks-code-assist |
| Frameworks | anthropic |
| Protocols | rest |
नियामक अनुपालन
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
coding में लोकप्रिय विकल्प
What Is Databricks Code Assist?
Databricks Code Assist is a software tool in the coding category: CLI tool for setting up AI coding assistants with Databricks.. Nerq Trust Score: 65/100 (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 Databricks Code Assist's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensions. Here is how Databricks Code Assist performs in each:
- सुरक्षा (0/100): Databricks Code Assist's security posture is poor. This score factors in known CVEs, dependency vulnerabilities, security policy presence, and code signing practices.
- रखरखाव (1/100): Databricks Code Assist is potentially abandoned. We track commit frequency, release cadence, issue response times, and PR merge rates.
- Documentation (1/100): Documentation quality is insufficient. This includes README completeness, API documentation, usage examples, and contribution guidelines.
- Compliance (87/100): Databricks Code Assist is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Based on GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 64.9/100 (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 Databricks Code Assist?
Databricks Code Assist 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: Databricks Code Assist 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 Databricks Code Assist'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's 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 Databricks Code Assist's dependency tree. - समीक्षा permissions — Understand what access Databricks Code Assist requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Databricks Code Assist 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=databricks-code-assist - जांचें license — Confirm that Databricks Code Assist'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 Databricks Code Assist
When evaluating whether Databricks Code Assist is safe, consider these category-specific risks:
Understand how Databricks Code Assist processes, stores, and transmits your data. Review the tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Databricks Code Assist's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher security risk.
Regularly check for updates to Databricks Code Assist. Security patches and bug fixes are only effective if you're running the latest version.
If Databricks Code Assist 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 Databricks Code Assist's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Databricks Code Assist in violation of its license can expose your organization to legal liability.
Databricks Code Assist and the EU AI Act
Databricks Code Assist 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 compliance assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal compliance.
Best Practices for Using Databricks Code Assist Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Databricks Code Assist while minimizing risk:
Periodically review how Databricks Code Assist is used in your workflow. Check for unexpected behavior, permissions drift, and compliance with your security policies.
Ensure Databricks Code Assist and all its dependencies are running the latest stable versions to benefit from security patches.
Grant Databricks Code Assist only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Databricks Code Assist's security advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Databricks Code Assist is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Databricks Code Assist?
Even promising tools aren't right for every situation. Consider avoiding Databricks Code Assist 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 Databricks Code Assist का विश्वास स्कोर 64.9/100 meets your organization's risk tolerance. We recommend running a manual security assessment alongside the automated Nerq score.
How Databricks Code Assist 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. Databricks Code Assist's score of 64.9/100 is above the category average of 62/100.
This positions Databricks Code Assist favorably among coding 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 Databricks Code Assist 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, Databricks Code Assist'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 Databricks Code Assist's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=databricks-code-assist&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 Databricks Code Assist are strengthening or weakening over time.
Databricks Code Assist vs Alternatives
coding श्रेणी में, Databricks Code Assist का स्कोर 64.9/100 है। There are higher-scoring alternatives available. For a detailed comparison, see:
- Databricks Code Assist vs AutoGPT — Trust Score: 74.7/100
- Databricks Code Assist vs ollama — Trust Score: 73.8/100
- Databricks Code Assist vs langchain — Trust Score: 86.4/100
मुख्य निष्कर्ष
- Databricks Code Assist का विश्वास स्कोर है 64.9/100 (C) and is not yet Nerq Verified.
- Databricks Code Assist shows moderate trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Databricks Code Assist scores above the category average of 62/100, demonstrating above-average reliability.
- Always verify safety independently — use Nerq's Preflight API for automated, up-to-date trust checks before integration.
अक्सर पूछे जाने वाले प्रश्न
क्या Databricks Code Assist उपयोग के लिए सुरक्षित है?
Databricks Code Assist's trust score क्या है?
Databricks Code Assist के अधिक सुरक्षित विकल्प क्या हैं?
How often is Databricks Code Assist's safety score updated?
क्या मैं Databricks Code Assist को विनियमित वातावरण में उपयोग कर सकता हूं?
Disclaimer: Nerq विश्वास स्कोर सार्वजनिक रूप से उपलब्ध संकेतों पर आधारित स्वचालित मूल्यांकन हैं। ये सिफारिश या गारंटी नहीं हैं। हमेशा अपना स्वयं का सत्यापन करें।