Er Openmm sikker?

Openmm — Nerq Trust Score 42.5/100 (Karakter E). Score baseret på 3 independent trust signals.

Openmm er en software tool med en Nerq Tillidsscore på 42.5/100 (E), based on 3 uafhængige datadimensioner. Vedligeholdelse: 0/100. Popularitet: 0/100. Data hentet fra flere offentlige kilder herunder pakkeregistre, GitHub, NVD, OSV.dev og OpenSSF Scorecard. Sidst opdateret: n/a. Maskinlæsbare data (JSON).

Er Openmm sikker?

Tillidsscore detaljer — Openmm has a Nerq Trust Score of 42.5/100 (E). Measured across 3 independent trust signals.

Sikkerhedsanalyse → Openmm privatlivsrapport →

Hvad er Openmms tillidsscore?

Openmm har en Nerq Trust Score på 42.5/100 med karakteren E. Denne score er baseret på 3 uafhængigt målte dimensioner, herunder sikkerhed, vedligeholdelse og community-adoption.

Vedligeholdelse
0
Dokumentation
0
Popularitet
0

Hvad er de vigtigste sikkerhedsresultater for Openmm?

Openmms stærkeste signal er vedligeholdelse på 0/100. Ingen kendte sårbarheder er fundet.

Vedligeholdelse: 0/100 — lav vedligeholdelsesaktivitet
Dokumentation: 0/100 — begrænset dokumentation
Popularitet: 0/100 — 1 stjerner på pulsemcp

Hvad er Openmm og hvem vedligeholder det?

Udviklerhttps://github.com/qbt-labs/openmm-mcp
KategoriFinance
Stjerner1
Kildehttps://github.com/qbt-labs/openmm-mcp

Populære alternativer i finance

OpenBB-finance/OpenBB
63.2/100 · C+
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microsoft/qlib
69.3/100 · B-
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TauricResearch/TradingAgents
78.5/100 · B
github
TradingAgents-CN
61.5/100 · C+
github
virattt/dexter
67.2/100 · B-
github

What Is Openmm?

Openmm is a software tool in the finance category: AI-native crypto trading server for multiple exchanges.. It has 1 GitHub stars. Nerq Trust Score: 42/100 (E).

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 Openmm's Safety

Nerq's Trust Score is calculated from 13+ independent signals aggregated into five dimensioner. Here is how Openmm performs in each:

The overall Trust Score of 42.5/100 (E) 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 Openmm?

Openmm is commonly evaluated by:

How to read the signals: Openmm's measured signals (vedligeholdelse 0/100, dokumentation 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 Openmm's Safety Yourself

While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:

  1. Check the source code — Gennemgå repository sikkerhed policy, open issues, and recent commits for signs of active vedligeholdelse.
  2. Scan dependencies — Use tools like npm audit, pip-audit, or snyk to check for known vulnerabilities in Openmm's dependency tree.
  3. Anmeldelse permissions — Understand what access Openmm requires. Software tools should follow the principle of least privilege.
  4. Test in isolation — Run Openmm in a sandboxed environment before granting access to production data or systems.
  5. Monitor continuously — Use Nerq's API to set up automated trust checks: GET nerq.ai/v1/preflight?target=OpenMM
  6. Gennemgå license — Confirm that Openmm'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.
  7. 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 Openmm

When evaluating whether Openmm is safe, consider these category-specific risks:

Data handling

Understand how Openmm processes, stores, and transmits your data. Gennemgå tool's privacy policy and data retention practices, especially for sensitive or proprietary information.

Dependency sikkerhed

Check Openmm's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher sikkerhed risk.

Update frequency

Regularly check for updates to Openmm. Sikkerhed patches and bug fixes are only effective if you're running the latest version.

Third-party integrations

If Openmm 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.

License and IP overholdelse

Verify that Openmm's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Openmm in violation of its license can expose your organization to legal liability.

Best Practices for Using Openmm Safely

Whether you're an individual developer or an enterprise team, these practices will help you get the most from Openmm while minimizing risk:

Conduct regular audits

Periodically review how Openmm is used in your workflow. Check for unexpected behavior, permissions drift, and overholdelse with your sikkerhed policies.

Keep dependencies updated

Ensure Openmm and all its dependencies are running the latest stable versions to benefit from sikkerhed patches.

Follow least privilege

Grant Openmm only the minimum permissions it needs to function. Avoid granting admin or root access.

Monitor for sikkerhed advisories

Subscribe to Openmm's sikkerhed advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.

Document usage policies

Create and maintain a clear policy for how Openmm is used within your organization, including data handling guidelines and acceptable use cases.

Situations That Warrant Independent Review of Openmm

Nerq's signals are one input. In the following situations, evaluate Openmm's measured signals against your own requirements before making a decision:

For each situation, compare Openmm's measured trust score of 42.5/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Openmm is suitable for any particular use.

How Openmm Compares to Industry Standards

Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among finance tools, the average Trust Score is 62/100. Openmm's score of 42.5/100 is below the category average of 62/100.

This suggests that Openmm trails behind many comparable finance tools. Organizations with strict sikkerhed requirements should evaluate whether higher-scoring alternatives better meet their needs.

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 Openmm 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, Openmm'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 Openmm's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=OpenMM&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 Openmm are strengthening or weakening over time.

Openmm vs Alternativer

In the finance category, Openmm scores 42.5/100. There are higher-scoring alternatives available. For a detailed comparison, see:

Vigtigste pointer

Ofte stillede spørgsmål

Er Openmm sikker?
OpenMM med en Nerq Tillidsscore på 42.5/100 (E). Stærkeste signal: vedligeholdelse (0/100). Score baseret på Vedligeholdelse (0/100), Popularitet (0/100), Dokumentation (0/100).
Hvad er Openmms tillidsscore?
OpenMM: 42.5/100 (E). Score baseret på Vedligeholdelse (0/100), Popularitet (0/100), Dokumentation (0/100). Scorer opdateres når nye data bliver tilgængelige. API: GET nerq.ai/v1/preflight?target=OpenMM
Hvad er sikrere alternativer til Openmm?
I kategorien Finance, higher-rated alternatives include OpenBB-finance/OpenBB (63/100), microsoft/qlib (69/100), TauricResearch/TradingAgents (78/100). OpenMM scores 42.5/100.
Hvor ofte opdateres Openmms sikkerhedsscore?
Nerq recomputes Openmm's trust score as new data becomes available. Current: 42.5/100 (E). API: GET nerq.ai/v1/preflight?target=OpenMM
Kan jeg bruge Openmm i et reguleret miljø?
Openmm: 42.5/100 (E). Compliance signals are shown in the breakdown above. Evaluate against your own regulatory requirements.
API: /v1/preflight Trust Badge API Docs

Se også

Disclaimer: Nerqs tillidsscorer er automatiserede vurderinger baseret på offentligt tilgængelige signaler. De udgør ikke anbefalinger eller garantier. Foretag altid din egen verificering.

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