Recommendo è sicuro?
Recommendo — Nerq Trust Score 54.0/100 (Grado D). Sulla base dell'analisi di 5 dimensioni di fiducia, è ha preoccupazioni di sicurezza notevoli. Ultimo aggiornamento: 2026-04-08.
Usa Recommendo con cautela. Recommendo è un software tool con un Punteggio di fiducia Nerq di 54.0/100 (D), based on 5 dimensioni di dati indipendenti. Sotto la soglia verificata Nerq Sicurezza: 0/100. Manutenzione: 0/100. Popolarità: 0/100. Dati provenienti da molteplici fonti pubbliche tra cui registri di pacchetti, GitHub, NVD, OSV.dev e OpenSSF Scorecard. Ultimo aggiornamento: 2026-04-08. Dati leggibili dalle macchine (JSON).
Recommendo è sicuro?
CAUTION — Recommendo has a Nerq Trust Score of 54.0/100 (D). Ha segnali di fiducia moderati ma mostra alcune aree di preoccupazione that warrant attention. Suitable for development use — review sicurezza and manutenzione signals before production deployment.
Qual è il punteggio di fiducia di Recommendo?
Recommendo ha un Nerq Trust Score di 54.0/100 con voto D. Questo punteggio si basa su 5 dimensioni misurate indipendentemente, tra cui sicurezza, manutenzione e adozione della community.
Quali sono i risultati di sicurezza chiave per Recommendo?
Il segnale più forte di Recommendo è conformità a 87/100. Non sono state rilevate vulnerabilità note. It has not yet reached the Nerq Verified threshold of 70+.
Cos'è Recommendo e chi lo mantiene?
| Autore | meetshah27 |
| Categoria | Coding |
| Stelle | 1 |
| Fonte | https://github.com/meetshah27/Recommendo |
| Frameworks | langchain · llamaindex · openai · anthropic |
| Protocols | rest |
Conformità normativa
| EU AI Act Risk Class | MINIMAL |
| Compliance Score | 87/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
Alternative popolari in coding
What Is Recommendo?
Recommendo is a software tool in the coding category: Recommendo is an AI-powered playlist generator that creates mood-based playlists based on user queries.. It has 1 GitHub stars. Nerq Trust Score: 54/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sicurezza vulnerabilities, manutenzione activity, license conformità, and adozione della comunità.
How Nerq Assesses Recommendo's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioni. Here is how Recommendo performs in each:
- Sicurezza (0/100): Recommendo's sicurezza posture is poor. This score factors in known CVEs, dependency vulnerabilities, sicurezza policy presence, and code signing practices.
- Manutenzione (0/100): Recommendo 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 documentazione, usage examples, and contribution guidelines.
- Compliance (87/100): Recommendo is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Basato su GitHub stars, forks, download counts, and ecosystem integrations.
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 Recommendo?
Recommendo 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: Recommendo is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sicurezza posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Recommendo's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Controlla repository's sicurezza policy, open issues, and recent commits for signs of active manutenzione.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Recommendo's dependency tree. - Recensione permissions — Understand what access Recommendo requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Recommendo 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=Recommendo - Controlla license — Confirm that Recommendo'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 sicurezza concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Recommendo
When evaluating whether Recommendo is safe, consider these category-specific risks:
Understand how Recommendo processes, stores, and transmits your data. Controlla tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Recommendo's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sicurezza risk.
Regularly check for updates to Recommendo. Sicurezza patches and bug fixes are only effective if you're running the latest version.
If Recommendo 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 Recommendo's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Recommendo in violation of its license can expose your organization to legal liability.
Recommendo and the EU AI Act
Recommendo 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 conformità assessment covers 52 jurisdictions worldwide. For organizations deploying AI tools in regulated environments, understanding these classifications is essential for legal conformità.
Best Practices for Using Recommendo Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Recommendo while minimizing risk:
Periodically review how Recommendo is used in your workflow. Check for unexpected behavior, permissions drift, and conformità with your sicurezza policies.
Ensure Recommendo and all its dependencies are running the latest stable versions to benefit from sicurezza patches.
Grant Recommendo only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Recommendo's sicurezza advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Recommendo is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Recommendo?
Even promising tools aren't right for every situation. Consider avoiding Recommendo in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional conformità review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Recommendo's trust score of 54.0/100 meets your organization's risk tolerance. We recommend running a manual sicurezza assessment alongside the automated Nerq score.
How Recommendo 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. Recommendo's score of 54.0/100 is near the category average of 62/100.
This places Recommendo in line with the typical coding 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 moderato 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 Recommendo 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 manutenzione patterns change, Recommendo'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 sicurezza and quality. Conversely, a downward trend may signal reduced manutenzione, growing technical debt, or unresolved vulnerabilities. To track Recommendo's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Recommendo&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 — sicurezza, manutenzione, documentazione, conformità, and community — has evolved independently, providing granular visibility into which aspects of Recommendo are strengthening or weakening over time.
Recommendo vs Alternative
In the coding category, Recommendo scores 54.0/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Recommendo vs AutoGPT — Trust Score: 74.7/100
- Recommendo vs ollama — Trust Score: 73.8/100
- Recommendo vs langchain — Trust Score: 86.4/100
Punti chiave
- Recommendo has a Trust Score of 54.0/100 (D) and is not yet Nerq Verified.
- Recommendo shows moderato trust signals. Conduct thorough due diligence before deploying to production environments.
- Among coding tools, Recommendo 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.
Domande frequenti
Recommendo è sicuro?
Qual è il punteggio di fiducia di Recommendo?
Quali sono alternative più sicure a Recommendo?
Con che frequenza viene aggiornato il punteggio di Recommendo?
Posso usare Recommendo in un ambiente regolamentato?
Vedi anche
Disclaimer: I punteggi di fiducia Nerq sono valutazioni automatizzate basate su segnali disponibili pubblicamente. Non costituiscono raccomandazioni o garanzie. Effettua sempre la tua verifica personale.