Tianji安全吗?
Tianji — Nerq Trust Score 47.7/100 (D级). 基于3 independent trust signals的评分。
Tianji 是一个software tool Nerq 信任分数 47.7/100(D), 基于3个独立数据维度. 维护: 0/100. 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).
Tianji安全吗?
信任评分详情 — Tianji has a Nerq Trust Score of 47.7/100 (D). Measured across 3 independent trust signals.
Tianji的信任评分是多少?
Tianji 的 Nerq 信任分数为 47.7/100,等级为 D。该分数基于 3 个独立测量的维度,包括安全性、维护和社区采用。
Tianji的主要安全发现是什么?
Tianji 最强的信号是 人气,为 1/100。 未检测到已知漏洞。
Tianji是什么,谁在维护它?
| 开发者 | https://github.com/msgbyte/tianji |
| 类别 | Automation |
| 星标 | 3,009 |
| 来源 | https://github.com/msgbyte/tianji |
automation中的热门替代品
What Is Tianji?
Tianji is a automation platform: Bridges AI assistants with the Tianji platform for survey management.. It has 3,009 GitHub stars. Nerq Trust Score: 48/100 (D).
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 Tianji's Safety
Nerq's Trust Score is calculated from 13+ independent signals aggregated into five 维度. Here is how Tianji performs in each:
- 维护 (0/100): Tianji 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 文档, usage examples, and contribution guidelines.
- Community (1/100): Community adoption is limited. 基于 GitHub stars, forks, download counts, and ecosystem integrations.
The overall Trust Score of 47.7/100 (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 Tianji?
Tianji is commonly evaluated by:
- Teams automating repetitive workflows
- Organizations connecting multiple tools and services
- Developers building event-driven AI pipelines
How to read the signals: Tianji's measured signals (维护 0/100, 文档 0/100, 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 Tianji'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 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 Tianji's dependency tree. - 评论 permissions — Understand what access Tianji requires. Software tools should follow the principle of least privilege.
- Test in isolation — Run Tianji 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=Tianji - 查看 license — Confirm that Tianji'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 Tianji
When evaluating whether Tianji is safe, consider these category-specific risks:
Understand how Tianji processes, stores, and transmits your data. 查看 tool's privacy policy and data retention practices, especially for sensitive or proprietary information.
Check Tianji's dependency tree for known vulnerabilities. Tools with outdated or unmaintained dependencies pose a higher 安全性 risk.
Regularly check for updates to Tianji. 安全性 patches and bug fixes are only effective if you're running the latest version.
If Tianji 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 Tianji's license is compatible with your intended use case. Some AI tools have restrictive licenses that limit commercial use, redistribution, or derivative works. Using Tianji in violation of its license can expose your organization to legal liability.
Best Practices for Using Tianji Safely
Whether you're an individual developer or an enterprise team, these practices will help you get the most from Tianji while minimizing risk:
Periodically review how Tianji is used in your workflow. Check for unexpected behavior, permissions drift, and 合规性 with your 安全性 policies.
Ensure Tianji and all its dependencies are running the latest stable versions to benefit from 安全性 patches.
Grant Tianji only the minimum permissions it needs to function. Avoid granting admin or root access.
Subscribe to Tianji'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 Tianji is used within your organization, including data handling guidelines and acceptable use cases.
Situations That Warrant 独立 Review of Tianji
Nerq's signals are one input. In the following situations, evaluate Tianji'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 Tianji's measured trust score of 47.7/100 and its individual signals against your organization's own criteria. Nerq does not assert whether Tianji is suitable for any particular use.
How Tianji Compares to Industry Standards
Nerq indexes over 6 million software tools, apps, and packages across dozens of categories. Among automation tools, the average Trust Score is 64/100. Tianji's score of 47.7/100 is below the category average of 64/100.
This suggests that Tianji trails behind many comparable automation tools. Organizations with strict 安全性 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 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 Tianji 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, Tianji'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 Tianji's score over time, use the Nerq API: GET nerq.ai/v1/preflight?target=Tianji&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 Tianji are strengthening or weakening over time.
Tianji vs 替代品
In the automation category, Tianji scores 47.7/100. There are higher-scoring alternatives available. For a detailed comparison, see:
- Tianji vs Windows Desktop Control — Trust Score: 62.0/100
- Tianji vs gemma-7b — Trust Score: 68.9/100
- Tianji vs Notte Browser — Trust Score: 50.7/100
主要结论
- Tianji has a measured Nerq Trust Score of 47.7/100 (D) — a composite of independent signals, not a suitability judgment.
- Among automation tools, Tianji scores below the category average of 64/100 (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
Tianji安全吗?
Tianji的信任评分是多少?
Tianji有哪些更安全的替代品?
Tianji的安全评分多久更新一次?
我可以在受监管的环境中使用Tianji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。