Er Deepspeed sikker?
Deepspeed — Nerq Trust Score 59.9/100 (Karakter D). Baseret på analyse af 5 tillidsdimensioner vurderes det som har bemærkelsesværdige sikkerhedsproblemer. Sidst opdateret: 2026-06-01.
Brug Deepspeed med forsigtighed. Deepspeed er en software tool med en Nerq Tillidsscore på 59.9/100 (D), based on 5 uafhængige datadimensioner. Under Nerqs verificerede tærskel Sikkerhed: 0/100. Vedligeholdelse: 0/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: 2026-06-01. Maskinlæsbare data (JSON).
Er Deepspeed sikker?
CAUTION — Deepspeed has a Nerq Trust Score of 59.9/100 (D). Har moderat tillidssignaler, men viser nogle bekymrende områder that warrant attention. Suitable for development use — review sikkerhed and vedligeholdelse signals before production deployment.
Hvad er Deepspeeds tillidsscore?
Deepspeed har en Nerq Trust Score på 59.9/100 med karakteren D. Denne score er baseret på 5 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.
Hvad er de vigtigste sikkerhedsresultater for Deepspeed?
Deepspeeds stærkeste signal er overholdelse på 100/100. Ingen kendte sårbarheder er fundet. It has not yet reached the Nerq Verified threshold of 70+.
Hvad er Deepspeed og hvem vedligeholder det?
| Udvikler | bitnamicharts |
| Kategori | Uncategorized |
| Kilde | https://hub.docker.com/r/bitnamicharts/deepspeed |
| Protocols | docker |
Lovgivningsmæssig overholdelse
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| Jurisdictions | Assessed across 52 jurisdictions |
What Is Deepspeed?
Deepspeed is a software tool in the uncategorized category: Bitnami Helm chart for DeepSpeed. Nerq Trust Score: 60/100 (D).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including sikkerhed vulnerabilities, vedligeholdelse activity, license overholdelse, and fællesskabsadoption.
How Nerq Assesses Deepspeed's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Deepspeed performs in each:
- Sikkerhed (0/100): Deepspeed's sikkerhed posture is poor. This score factors in known CVEs, dependency vulnerabilities, sikkerhed policy presence, and code signing practices.
- Vedligeholdelse (0/100): Deepspeed 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 dokumentation, usage examples, and contribution guidelines.
- Compliance (100/100): Deepspeed is broadly compliant. Assessed against regulations in 52 jurisdictions including the EU AI Act, CCPA, and GDPR.
- Community (0/100): Community adoption is limited. Baseret på GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 59.9/100 (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 Deepspeed?
Deepspeed 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: Deepspeed is suitable for development and testing environments. Before production deployment, conduct a thorough review of its sikkerhed posture, review the specific trust signals above, and consider whether a higher-scored alternative meets your requirements.
How to Verify Deepspeed's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Deepspeed's dependency tree. - Anmeldelse permissions — Understand what access Deepspeed requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Deepspeed 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=deepspeed - Gennemgå license — Confirm that Deepspeed'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 sikkerhed concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Deepspeed
When evaluating whether Deepspeed is safe, consider these category-specific risks:
Understand how Deepspeed processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Deepspeed's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.
Regularly check for updates to Deepspeed. Sikkerhed patches and bug fixes are only effective if you're running the latest version.
If Deepspeed 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 Deepspeed's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Deepspeed in violation of its license can expose your organization to legal liability.
Best Practices for Using Deepspeed Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Deepspeed while minimizing risk:
Periodically review how Deepspeed is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.
Ensure Deepspeed and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.
Grant Deepspeed only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Deepspeed's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Deepspeed is used within your organization, including data handling guidelines and acceptable use cases.
When Should You Avoid Deepspeed?
Even promising tools aren't right for every situation. Consider avoiding Deepspeed in these scenarios:
- Production environments handling sensitive customer data
- Regulated industries (healthcare, finance, government) without additional overholdelse review
- Mission-critical systems where downtime has significant business impact
For each scenario, evaluate whether Deepspeed's trust score of 59.9/100 meets your organization's risk tolerance. We recommend running a manual sikkerhed assessment alongside the automated Nerq score.
How Deepspeed 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. Deepspeed's score of 59.9/100 is near the category average of 62/100.
This places Deepspeed 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 moderat 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 Deepspeed 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 vedligeholdelse patterns change, Deepspeed'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 sikkerhed and quality. Conversely, a downward trend may signal reduced vedligeholdelse, growing technical debt, or unresolved vulnerabilities. To track Deepspeed's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=deepspeed&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 — sikkerhed, vedligeholdelse, dokumentation, overholdelse, and community — has evolved independently, providing granular visibility into which aspects of Deepspeed are strengthening or weakening over time.
Vigtigste pointer
- Deepspeed has a Trust Score of 59.9/100 (D) and is not yet Nerq Verified.
- Deepspeed shows moderat trust signals. Conduct thorough due diligence before deploying to production environments.
- Among uncategorized tools, Deepspeed 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.
Detaljeret scoreanalyse
| Dimension | Score |
|---|---|
| Sikkerhed | 0/100 |
| Vedligeholdelse | 0/100 |
| Popularitet | 0/100 |
Baseret på 3 dimensioner. Data from flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard.
Hvilke data indsamler Deepspeed?
Privatliv assessment for Deepspeed is not yet available. See our methodology for how Nerq measures privacy, or the public privacy review for any community-contributed notes.
Er Deepspeed sikker?
Sikkerhed score: 0/100. Review sikkerhed practices and consider alternatives with higher sikkerhed scores for sensitive use cases.
Nerq overvåger denne enhed mod NVD, OSV.dev og registrespecifikke sårbarhedsdatabaser til løbende sikkerhedsvurdering.
Fuld analyse: Deepspeed sikkerhedsrapport
Sådan beregnede vi denne score
Deepspeed's trust score of 59.9/100 (D) beregnes ud fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Scoren afspejler 3 uafhængige dimensioner: sikkerhed (0/100), vedligeholdelse (0/100), popularitet (0/100). Hver dimension vægtes ens for at producere den samlede tillidsscore.
Nerq analyserer over 7,5 millioner enheder i 26 registre med samme metodik, hvilket muliggør direkte sammenligning mellem enheder. Scorer opdateres løbende, efterhånden som nye data bliver tilgængelige.
Denne side blev sidst gennemgået den June 01, 2026. Dataversion: 1.0.
Ofte stillede spørgsmål
Er Deepspeed sikker?
Hvad er Deepspeeds tillidsscore?
Hvad er sikrere alternativer til Deepspeed?
Hvor ofte opdateres Deepspeeds sikkerhedsscore?
Kan jeg bruge Deepspeed i et reguleret miljø?
Se også
Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.