公开记录
软件健康报告模式 0.11.0 · 指标 1.13.0 · 2026-07-15 04:19 UTC

NeatLogs / neatlogs

AI agent debugging, collaboration, and trace observability. Built for teams using CrewAI, OpenAI, and more.

PythonMIT★ 50 星标⑂ 11 复刻始于 2025年5月在 GitHub 上查看 ↗

NeatLogs/neatlogs 的健康指数为 100 分中的 44 分,处于「存在风险」区间。 其得分最高的类别是Sustainability & Governance(57/100),最低的是Security(1/100)。 最近一次更新在今天。 近期的大部分工作由 2 位贡献者完成。

44
总分 / 100
存在风险

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

44
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

所有权

neatlogs组织
4 关注者5 个公开仓库始于 2025年2月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIneatlogs1.4.12-510 天前llmtrackingmonitoringloggingaimachine-learningobservabilitycollaboration

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?

51中等 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
21.5/36提交节奏 — 52 周中有 31 周有提交
18/18提交量 — 最近一年 215 次提交
0/10OpenSSF Scorecard:Maintained — 无数据
所用输入
commits_last_year215
human_commit_share
days_since_last_push0
active_weeks_last_year31
评分方式
0/27有发布版本 — 未发布任何发布版本
0/36发布时效 — 没有发布版本
0/27发布节奏 — 没有发布版本
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count0

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

43存在风险 · 占总体的 18%

流行度与采用

36存在风险
评分方式
27.4/60星标 — 50 个星标
8.3/25复刻 — 11 个复刻
0/15关注者 — 2 位关注者
所用输入
forks11
stars50
watchers2
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

57中等 · 占总体的 24%
评分方式
25.2/54巴士系数 — 2 位贡献者贡献了半数提交
13.6/22.5提交分布 — 头号贡献者编写了 40% 的提交
10.8/13.5贡献者广度 — 8 位贡献者
0/10OpenSSF Scorecard:Contributors — 无数据
所用输入
bus_factor2
contributors_sampled8
top_contributor_share0.396
评分方式
0/46.8议题解决 — 0% 的议题已关闭
31.9/38.3PR 接受 — 已裁定的 PR 中 15/18 已合并
0/15OpenSSF Scorecard:Code-Review — 无数据
所用输入
merged_prs15
open_issues15
closed_issues0
issue_closed_ratio0
closed_unmerged_prs3
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
5/25所有者影响力 — neatlogs 有 4 位关注者
8.5/25既往记录 — 5 个公开仓库,账户约 1 年
所用输入
followers4
owner_typeOrganization
is_verified
owner_loginneatlogs
public_repos5
account_age_days517
评分方式
25/25已发布且可解析 — pypi 上有 1 个软件包
35/35发布时效 — 最近一次发布于 0 天前
20/20版本历史 — 51 个已发布版本
20/20未被弃用 — 活跃,未被弃用或撤回
所用输入
packagesneatlogs
ecosystemspypi
any_deprecated
min_days_since_publish0

工程质量

基础的工程与文档实践是否到位?

56中等 · 占总体的 20%

工程实践

60中等
评分方式
24/24CI 工作流 — 1 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
0/20OpenSSF Scorecard:CI-Tests — 无数据
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

50中等
评分方式
30/30README
0/25文档目录
0/15文档 / 主页站点
10/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics
has_wiki
homepage
has_readme
has_docs_dir
has_description

安全

可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?

1危急 · 占总体的 16%
评分方式
0/30安全策略(SECURITY.md)
0/25Dependabot 配置
0/25依赖锁定文件 — 已发布的类库——锁定文件属于应用层关注点,不作要求
0/20CodeQL 工作流
所用输入
sourcefile_signals
lockfilespoetry.lock
manifestspyproject.toml
has_codeql_workflow
has_security_policy
has_dependabot_config
已排除计分(无数据或不适用):依赖锁定文件。 其余权重已重新归一化。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?这是一枚独立的实验性徽章——权重为 0.0,因此单独呈现,不影响总体健康评分。

35存在风险 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
0/40可读的提交历史 — 无数据
所用输入
has_llms_txt
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
已排除计分(无数据或不适用):可读的提交历史。 其余权重已重新归一化。
评分方式
0/18一条命令的引导启动
22/22自动化测试
0/11Lint / 格式化配置
0/11静态类型检查
10/10可复现环境 — lockfile
0/10已体现的代理实践 — 无数据
0/8自动化维护 — 无数据
0/10OpenSSF Scorecard:Pinned-Dependencies — 无数据
所用输入
has_nix
has_tests
lockfilespoetry.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
已排除计分(无数据或不适用):已体现的代理实践, 自动化维护。 其余权重已重新归一化。
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
54.7/55可控的文件大小 — 采样的 185 个源文件中有 1 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes71,961
source_files_sampled185
oversized_source_files1
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
20/20MCP 服务器
40/40可运行示例 — examples
所用输入
example_dirsexamples
has_mcp_signal
api_schema_files

关键数据

50GitHub 星标
8贡献者
215最近 12 个月提交数
0距最近推送天数
0发布版本数
2巴士系数(bus factor)
15开放议题
PyPI软件包生态系统数

数据采集警告

  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

更多细节

直接依赖 40
注册表软件包版本约束清单文件
PyPIopeninference-instrumentation>=0.1.27pyproject.toml
PyPIopeninference-semantic-conventions>=0.1.13pyproject.toml
PyPIopentelemetry-api>=1.33.1pyproject.toml
PyPIopentelemetry-exporter-otlp-proto-http>=1.33.1pyproject.toml
PyPIopentelemetry-sdk>=1.33.1pyproject.toml
PyPIrequests>=2.31.0pyproject.toml
PyPIagnost>=0.1.8,<0.2.0pyproject.toml
PyPIopentelemetry-instrumentation>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-requests>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-httpx>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-urllib3>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-aiohttp-client>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-threading>=0.50b0pyproject.toml
PyPIopentelemetry-instrumentation-logging>=0.50b0pyproject.toml
PyPIwrapt>=1.0.0pyproject.toml
PyPIhttpx>=0.27.0pyproject.toml
PyPIaiohttp>=3.9.0pyproject.toml
PyPIopeninference-instrumentation-openai>=0.1.32pyproject.toml
PyPIopeninference-instrumentation-anthropic>=0.1.20pyproject.toml
PyPIopeninference-instrumentation-langchain>=0.1.56pyproject.toml
PyPIopeninference-instrumentation-groq>=0.1.12pyproject.toml
PyPIopeninference-instrumentation-litellm>=0.1.28pyproject.toml
PyPIopeninference-instrumentation-google-genai>=0.1.8pyproject.toml
PyPIopeninference-instrumentation-bedrock>=0.1.32pyproject.toml
PyPIopeninference-instrumentation-vertexai>=0.1.11pyproject.toml
PyPIopeninference-instrumentation-mistralai>=1.3.4pyproject.toml
PyPIopeninference-instrumentation-crewai>=0.1.17pyproject.toml
PyPIopeninference-instrumentation-dspy>=0.1.32pyproject.toml
PyPIopeninference-instrumentation-agno>=0.1.25pyproject.toml
PyPIopeninference-instrumentation-openai-agents>=1.4.0pyproject.toml
PyPIopeninference-instrumentation-pydantic-ai>=0.1.9pyproject.toml
PyPIopeninference-instrumentation-smolagents>=0.1.21pyproject.toml
PyPIopeninference-instrumentation-guardrails>=0.1.10pyproject.toml
PyPIopeninference-instrumentation-haystack>=0.1.29pyproject.toml
PyPIopeninference-instrumentation-instructor>=0.1.12pyproject.toml
PyPIopeninference-instrumentation-mcp>=1.3.3pyproject.toml
PyPIopeninference-instrumentation-portkey>=0.1.7pyproject.toml
PyPIopeninference-instrumentation-google-adk>=0.1.8pyproject.toml
PyPIopeninference-instrumentation-autogen-agentchat>=0.1.6pyproject.toml
PyPIopeninference-instrumentation-llama-index>=4.3.9pyproject.toml
全部依赖 未采集

本报告未能采集到解析后的依赖集合:GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

原始 JSON 报告 机器可读
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            "band": "moderate",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
              "topics": [],
              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "critical",
        "name": "Security",
        "value": 1,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "critical",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "dependency_lockfiles"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [
                "poetry.lock"
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              "manifests": [
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              ],
              "has_codeql_workflow": false,
              "has_security_policy": false,
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            },
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                "name": "Security policy (SECURITY.md)",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
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                "key": "dependabot_config",
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                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "params": {}
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              },
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                "key": "codeql_workflow",
                "name": "CodeQL workflow",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 2
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 35,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
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            "value": 1,
            "inputs": {
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              "legible_history_share": null,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice",
                    "automated_maintenance"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 44,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "poetry.lock"
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              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
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                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
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              "source_files_sampled": 185,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/185 source files over 60KB",
                "points": 54.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
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                      "sampled": 185,
                      "oversized": 1
                    }
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                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
                      "files": "examples"
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                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "OpenSSF Scorecard timed out after 240s; skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-15T04:19:00.516438Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NeatLogs/neatlogs.svg",
  "full_name": "NeatLogs/neatlogs",
  "license_state": "standard",
  "license_spdx": "MIT"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.11.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.