क्या Ted Lasso सुरक्षित है?
Ted Lasso — Nerq Trust Score 53.2/100 (D ग्रेड). स्कोर आधारित 5 independent trust signals.
Ted Lasso एक software tool है Nerq विश्वास स्कोर के साथ 53.2/100 (D), based on 5 स्वतंत्र डेटा आयाम. सुरक्षा: 0/100. रखरखाव: 1/100. लोकप्रियता: 0/100. डेटा स्रोत: पैकेज रजिस्ट्री, GitHub, NVD, OSV.dev और OpenSSF Scorecard सहित कई सार्वजनिक स्रोत. अंतिम अपडेट: n/a. मशीन पठनीय डेटा (JSON).
क्या Ted Lasso सुरक्षित है?
विश्वास स्कोर विवरण — Ted Lasso has a Nerq Trust Score of 53.2/100 (D). Measured across 5 independent trust signals.
Ted Lasso का विश्वास स्कोर क्या है?
Ted Lasso का Nerq Trust Score 53.2/100 है, ग्रेड D। यह स्कोर सुरक्षा, रखरखाव और सामुदायिक अपनाने सहित 5 स्वतंत्र रूप से मापे गए आयामों पर आधारित है।
Ted Lasso के प्रमुख सुरक्षा निष्कर्ष क्या हैं?
Ted Lasso का सबसे मजबूत संकेत अनुपालन है 100/100 पर। कोई ज्ञात भेद्यता नहीं पाई गई।
Ted Lasso क्या है और इसका रखरखाव कौन करता है?
| डेवलपर | devpeshawari |
| श्रेणी | Communication |
| स्रोत | https://github.com/devpeshawari/ted-lasso |
नियामक अनुपालन
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
communication में लोकप्रिय विकल्प
What Is Ted Lasso?
Ted Lasso is a software tool in the communication category: Bot to coach people or AI agents on improving their prompts.. Nerq Trust Score: 53/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including सुरक्षा vulnerabilities, रखरखाव activity, license अनुपालन, and सामुदायिक स्वीकृति.
How Nerq Assesses Ted Lasso's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five आयाम. Here is how Ted Lasso performs in each:
- सुरक्षा (0/100): Ted Lasso's सुरक्षा posture is poor. This score factors in known CVEs, dependency vulnerabilities, सुरक्षा policy presence, and code signing practices.
- रखरखाव (1/100): Ted Lasso 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 दस्तावेज़ीकरण, usage examples, and contribution guidelines.
- Compliance (100/100): Ted Lasso is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. आधारित GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 53.2/100 (D) is the weighted combination of these measured signals. It is a measurement, not a pass/fail or suitability judgment — weigh the individual signals against your own requirements.
Who Typically Evaluates Ted Lasso?
Ted Lasso is commonly evaluated by:
- Developers and teams working with communication tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Ted Lasso's measured signals (सुरक्षा 0/100, रखरखाव 1/100, दस्तावेज़ीकरण 0/100, community 0/100) are shown above. These are measurements, not a suitability judgment — weigh each signal against the requirements of your own use case and risk tolerance.
How to Verify Ted Lasso's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — जांचें repository's सुरक्षा policy, open issues, and recent commits for signs of active रखरखाव.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Ted Lasso's dependency tree. - समीक्षा permissions — Understand what access Ted Lasso requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Ted Lasso 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=ted-lasso - जांचें license — Confirm that Ted Lasso'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 सुरक्षा concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Ted Lasso
When evaluating whether Ted Lasso is safe, consider these category-specific risks:
Understand how Ted Lasso processes, stores, and transmits your data. जांचें tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Ted Lasso's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher सुरक्षा risk.
Regularly check for updates to Ted Lasso. सुरक्षा patches and bug fixes are only effective if you're running the latest version.
If Ted Lasso 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 Ted Lasso's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Ted Lasso in violation of its license can expose your organization to legal liability.
Ted Lasso and the EU AI Act
Ted Lasso 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 अनुपालन assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal अनुपालन.
Best Practices for Using Ted Lasso Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Ted Lasso while minimizing risk:
Periodically review how Ted Lasso is used in your workflow. Check for unexpected behavior, permissions drift, and अनुपालन with your सुरक्षा policies.
Ensure Ted Lasso and all its dependencies are running the latest stable versions to benefit from सुरक्षा patches.
Grant Ted Lasso only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Ted Lasso's सुरक्षा advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Ted Lasso is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant Independent Review of Ted Lasso
Nerq's signals are one input. In the following situations, evaluate Ted Lasso's measured signals against your own requirements before making a decision:
- Environments handling sensitive or regulated data (healthcare, finance, government)
- Mission-critical systems where downtime has significant business impact
- Deployments with strict regulatory requirements that must be independently validated
For each situation, compare Ted Lasso's measured trust score of 53.2/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Ted Lasso is suitable for any particular use.
How Ted Lasso Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among communication tools, the average Trust Score is 62/100. Ted Lasso's score of 53.2/100 is near the category average of 62/100.
This places Ted Lasso in line with the typical communication 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 मध्यम 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 Ted Lasso 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 रखरखाव patterns change, Ted Lasso'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 सुरक्षा and quality. Conversely, a downward trend may signal reduced रखरखाव, growing technical debt, or unresolved vulnerabilities. To track Ted Lasso's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=ted-lasso&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 — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, and community — has evolved independently, providing granular visibility into which aspects of Ted Lasso are strengthening or weakening over time.
Ted Lasso vs विकल्प
In the communication category, Ted Lasso scores 53.2/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Ted Lasso vs Real-Time-Voice-Cloning — Trust Score: 56.9/100
- Ted Lasso vs ChatGPT — Trust Score: 59.4/100
- Ted Lasso vs jan — Trust Score: 64.4/100
मुख्य निष्कर्ष
- Ted Lasso has a measured Nerq Trust Score of 53.2/100 (D) — a composite of independent signals, not a suitability judgment.
- Among communication tools, Ted Lasso scores near the category average of 62/100 (a positional measurement relative to peers).
- The individual signals — सुरक्षा, रखरखाव, दस्तावेज़ीकरण, अनुपालन, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
अक्सर पूछे जाने वाले प्रश्न
क्या Ted Lasso सुरक्षित है?
Ted Lasso का विश्वास स्कोर क्या है?
Ted Lasso के अधिक सुरक्षित विकल्प क्या हैं?
Ted Lasso का सुरक्षा स्कोर कितनी बार अपडेट होता है?
क्या मैं विनियमित वातावरण में Ted Lasso उपयोग कर सकता हूँ?
यह भी देखें
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।