Gprofiler Performance Studio安全吗?
Gprofiler Performance Studio — Nerq Trust Score 57.9/100 (C级). 基于5 independent trust signals的评分。
Gprofiler Performance Studio 是一个software tool Nerq 信任分数 57.9/100(C), 基于5个独立数据维度. 安全: 0/100. 维护: 1/100. 人气度: 1/100. 数据来源于多个公共来源,包括包注册表、GitHub、NVD、OSV.dev和OpenSSF Scorecard。最后更新:n/a。 机器可读数据(JSON).
Gprofiler Performance Studio安全吗?
信任评分详情 — Gprofiler Performance Studio has a Nerq Trust Score of 57.9/100 (C). Measured across 5 independent trust signals.
Gprofiler Performance Studio的信任评分是多少?
Gprofiler Performance Studio 的 Nerq 信任分数为 57.9/100,等级为 C。该分数基于 5 个独立测量的维度,包括安全性、维护和社区采用。
Gprofiler Performance Studio的主要安全发现是什么?
Gprofiler Performance Studio 最强的信号是 合规性,为 100/100。 未检测到已知漏洞。
Gprofiler Performance Studio是什么,谁在维护它?
| 开发者 | intel |
| 类别 | Devops |
| 星标 | 192 |
| 来源 | https://github.com/intel/gprofiler-performance-studio |
| Protocols | rest |
合规性
| EU AI Act Risk Class | Not assessed |
| Compliance Score | 100/100 |
| 管辖权s | Assessed across 52 司法管辖区s |
devops中的热门替代品
Gprofiler Performance Studio在其他平台
同一开发者/公司在其他注册表中:
What Is Gprofiler Performance Studio?
Gprofiler Performance Studio is a DevOps tool: An open-source, continuous profiler for identifying runtime inefficiencies.. It has 192 GitHub stars. Nerq Trust Score: 58/100 (C).
Nerq independently analyzes every software tool, app, and extension across multiple trust signals including 安全性 vulnerabilities, 维护 activity, license 合规性, and 社区采用.
How Nerq Assesses Gprofiler Performance Studio's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how Gprofiler Performance Studio performs in each:
- 安全性 (0/100): Gprofiler Performance Studio's 安全性 posture is poor. This score factors in known CVEs, dependency vulnerabilities, 安全性 policy presence, and code signing practices.
- 维护 (1/100): Gprofiler Performance Studio 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 文档, usage examples, and contribution guidelines.
- Compliance (100/100): Gprofiler Performance Studio is broadly compliant. Assessed against regulations in 52 司法管辖区s including the EU AI Act, CCPA, and GDPR.
- Community (1/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 57.9/100 (C) 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 Gprofiler Performance Studio?
Gprofiler Performance Studio is commonly evaluated by:
- Developers and teams working with devops tools
- Organizations evaluating AI tools for their stack
- Researchers exploring AI capabilities in this domain
How to read the signals: Gprofiler Performance Studio's measured signals (安全性 0/100, 维护 1/100, 文档 1/100, community 1/100) 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 Gprofiler Performance Studio's Safety Yourself
While Nerq provides automated trust analysis, we recommend these additional steps before adopting any software tool:
- Check the source code — 查看 repository's 安全性 policy, open issues, and recent commits for signs of active 维护.
- Scan dependencies — Use tools like
npm audit,pip-audit, orsnykto check for known vulnerabilities in Gprofiler Performance Studio's dependency tree. - 评论 permissions — Understand what access Gprofiler Performance Studio requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Gprofiler Performance Studio 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=gprofiler-performance-studio - 查看 license — Confirm that Gprofiler Performance Studio'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 安全性 concerns openly. Low community engagement may indicate limited peer review of the codebase.
Common Safety Concerns with Gprofiler Performance Studio
When evaluating whether Gprofiler Performance Studio is safe, consider these category-specific risks:
Understand how Gprofiler Performance Studio processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Gprofiler Performance Studio's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Gprofiler Performance Studio. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Gprofiler Performance Studio 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 Gprofiler Performance Studio's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Gprofiler Performance Studio in violation of its license can expose your organization to legal liability.
Best Practices for Using Gprofiler Performance Studio Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Gprofiler Performance Studio while minimizing risk:
Periodically review how Gprofiler Performance Studio is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Gprofiler Performance Studio and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Gprofiler Performance Studio only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Gprofiler Performance Studio's 安全性 advisories and vulnerability disclosures. Use Nerq's API to get automated trust score updates.
Create and maintain a clear policy for how Gprofiler Performance Studio is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of Gprofiler Performance Studio
Nerq's signals are one input. In the following situations, evaluate Gprofiler Performance Studio'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 Gprofiler Performance Studio's measured trust score of 57.9/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Gprofiler Performance Studio is suitable for any particular use.
How Gprofiler Performance Studio Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among DevOps tools, the average Trust Score is 63/100. Gprofiler Performance Studio's score of 57.9/100 is near the category average of 63/100.
This places Gprofiler Performance Studio in line with the typical DevOps 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 中等 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 Gprofiler Performance Studio 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 维护 patterns change, Gprofiler Performance Studio'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 安全性 and quality. Conversely, a downward trend may signal reduced 维护, growing technical debt, or unresolved vulnerabilities. To track Gprofiler Performance Studio's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=gprofiler-performance-studio&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 — 安全性, 维护, 文档, 合规性, and community — has evolved independently, providing granular visibility into which aspects of Gprofiler Performance Studio are strengthening or weakening over time.
Gprofiler Performance Studio vs 替代品
In the devops category, Gprofiler Performance Studio scores 57.9/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Gprofiler Performance Studio vs ansible — Trust Score: 75.2/100
- Gprofiler Performance Studio vs Flowise — Trust Score: 71.5/100
- Gprofiler Performance Studio vs learn-claude-code — Trust Score: 66.2/100
主要结论
- Gprofiler Performance Studio has a measured Nerq Trust Score of 57.9/100 (C) — a composite of independent signals, not a suitability judgment.
- Among DevOps tools, Gprofiler Performance Studio scores near the category average of 63/100 (a positional measurement relative to peers).
- The individual signals — 安全性, 维护, 文档, 合规性, community — are shown above. Weigh them against your own requirements.
- Query the current measured values via Nerq's Preflight API.
常见问题
Gprofiler Performance Studio安全吗?
Gprofiler Performance Studio的信任评分是多少?
Gprofiler Performance Studio有哪些更安全的替代品?
Gprofiler Performance Studio的安全评分多久更新一次?
我可以在受监管的环境中使用Gprofiler Performance Studio吗?
另请参阅
Disclaimer: Nerq 信任评分是基于公开信号的自动评估。它们不构成建议或保证。请始终进行自己的验证。