公开记录
软件健康报告模式 0.17.0 · 指标 1.13.0 · 2026-07-21 06:12 UTC

munich-quantum-toolkit / predictor

MQT Predictor - A Tool for Automatic Device Selection with Device-Specific Circuit Compilation for Quantum Computing

PythonMIT★ 86 星标⑂ 22 复刻始于 2022年3月在 GitHub 上查看 ↗

munich-quantum-toolkit/predictor 的健康指数为 100 分中的 77 分,处于「良好」区间。 其得分最高的类别是Vitality(92/100),最低的是Community & Adoption(59/100)。 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。

77
总分 / 100
良好

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。

77
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

99 关注者21 个公开仓库始于 2024年8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
PyPImqt.predictor2.4.0285147 天前mqtcompilationmachine-learningpredictionquantum-computing

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?

92优秀 · 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
33.2/36提交节奏 — 52 周中有 48 周有提交
18/18提交量 — 最近一年 286 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year286
human_commit_share
days_since_last_push0
active_weeks_last_year48

发布纪律

84良好
评分方式
27/27有发布版本 — 已发布 14 个发布版本
36/36发布时效 — 最近一次发布版本于 7 天前
12.6/27发布节奏 — 约每 139.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count14
latest_release_tagv2.4.0
releases_from_tags
days_since_latest_release7
mean_days_between_releases139.9
已排除计分(无数据或不适用):OpenSSF Scorecard:Signed-Releases。 其余权重已重新归一化。

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?

59中等 · 占总体的 18%

流行度与采用

42存在风险
评分方式
31.3/60星标 — 86 个星标
11/25复刻 — 22 个复刻
0/15关注者 — 1 位关注者
所用输入
forks22
stars86
watchers1
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold

社区健康

92优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
32.8/80月度下载量 — pypi 合计每月 285 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packagesmqt.predictor
dependents
ecosystemspypi
total_downloads
monthly_downloads285
已排除计分(无数据或不适用):注册表被依赖数。 其余权重已重新归一化。

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?

70良好 · 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
12.4/22.5提交分布 — 头号贡献者编写了 45% 的提交
13.5/13.5贡献者广度 — 13 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 6 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled13
top_contributor_share0.45
评分方式
33.2/46.8议题解决 — 71% 的议题已关闭
32.8/38.3PR 接受 — 已裁定的 PR 中 573/669 已合并
3/15OpenSSF Scorecard:Code-Review — Found 6/26 approved changesets -- score normalized to 2
所用输入
merged_prs573
open_issues18
closed_issues44
issue_closed_ratio0.71
closed_unmerged_prs96
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
14.4/25所有者影响力 — munich-quantum-toolkit 有 99 位关注者
13.7/25既往记录 — 21 个公开仓库,账户约 1 年
所用输入
followers99
owner_typeOrganization
is_verified
owner_loginmunich-quantum-toolkit
public_repos21
account_age_days711
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 7 天前
20/20版本历史 — 14 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
packagesmqt.predictor
ecosystemspypi
any_deprecated
min_days_since_publish7

工程质量

基础的工程与文档实践是否到位?

86优秀 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 4 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

75良好
评分方式
30/30README
25/25文档目录
0/15文档 / 主页站点
10/10仓库描述
10/10主题标签 — 4 个主题标签
0/10Wiki
所用输入
topicsquantum-circuit, quantum-compiler, reinforcement-learning, supervised-machine-learning
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?

77良好 · 占总体的 16%

安全态势

71良好
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 6/26 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate7.1
已排除计分(无数据或不适用):branch_protection, signed_releases。 其余权重已重新归一化。
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
0/25间接依赖不含已知公告 — 在此范围内,传递依赖集合无法与开发和测试依赖区分
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages200
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 200 个已解析依赖与 OSV 比对。 该仓库未发布任何索引可解析的软件包,因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起,因此仅对声明的运行时依赖计分;传递性发现仅作为背景信息列出,不计入评分。 未对可达性进行分析。

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。

88优秀 · 占总体的 0%
评分方式
45/45代理指令 — AGENTS.md
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_filesAGENTS.md
agent_instruction_max_bytes4,396
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
18/18一条命令的引导启动 — noxfile.py
22/22自动化测试
11/11Lint / 格式化配置
11/11静态类型检查 — src/mqt/predictor/py.typed
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
10/10OpenSSF Scorecard:Pinned-Dependencies — all dependencies are pinned
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_filesnoxfile.py
has_devcontainer
has_linter_config
typecheck_configssrc/mqt/predictor/py.typed
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
27/45可类型检查的代码 — Python,已配置类型检查(src/mqt/predictor/py.typed)
55/55可控的文件大小 — 采样的 30 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes26,944
source_files_sampled30
oversized_source_files0

关键数据

86GitHub 星标
13贡献者
286最近 12 个月提交数
0距最近推送天数
14发布版本数
2巴士系数(bus factor)
18开放议题
PyPI软件包生态系统数

数据采集警告

  • deps.dev does not index pypi:mqt.predictor@2.4.0; advisories assessed against the repository dependency graph instead

更多细节

Star 与 Fork 历史 86 ★ / 0 ⇿
86Star

每颗 star 和每个 fork 的添加时间,来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方,二者可相互对照:稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时,它会作为增长真实性予以报告。

0204060801008662022-062024-052026-04

每个点涵盖 4 天。

OpenSSF Scorecard 7.1 / 10
7.1综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-07-21 06:12 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 6/26 approved changesets -- score normalized to 2
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 15
注册表软件包版本约束清单文件
PyPImqt.bench>=2.0.0pyproject.toml
PyPIqiskit>=1.3.3pyproject.toml
PyPIpytket>=1.29.0pyproject.toml
PyPIpytket_qiskit>=0.61.0pyproject.toml
PyPIqiskit-ibm-runtime>=0.30.0pyproject.toml
PyPIsb3_contrib>=2.0.0pyproject.toml
PyPItqdm>=4.66.0pyproject.toml
PyPIrich>=12.6.0pyproject.toml
PyPIscikit-learn>=1.5.1pyproject.toml
PyPItensorboard>=2.17.0pyproject.toml
PyPIbqskit>=1.2.0pyproject.toml
PyPInumpy>=2.1pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPInumpy>=1.22pyproject.toml
全部依赖 200

来自 GitHub 依赖图的完整解析依赖集合:15 个直接依赖与 185 个间接(传递)软件包。仓库提交锁文件时,传递闭包才是完整的。

注册表软件包版本关系
PyPIbqskit1.2.1直接
PyPImqt-bench2.2.3直接
PyPInumpy2.2.6直接
PyPInumpy2.4.6直接
PyPInumpy2.5.1直接
PyPIpytket2.18.1直接
PyPIpytket-qiskit0.77.0直接
PyPIqiskit2.5.0直接
PyPIqiskit-ibm-runtime0.48.0直接
PyPIrich15.0.0直接
PyPIsb3-contrib2.9.0直接
PyPIscikit-learn1.7.2直接
PyPIscikit-learn1.9.0直接
PyPItensorboard2.21.0直接
PyPItqdm4.69.0直接
PyPIabsl-py2.5.0间接
PyPIaccessible-pygments0.0.5间接
PyPIalabaster1.0.0间接
PyPIannotated-types0.7.0间接
PyPIantlr4-python3-runtime4.13.2间接
PyPIappnope0.1.4间接
PyPIargcomplete3.7.0间接
PyPIastroid4.1.2间接
PyPIasttokens3.0.2间接
PyPIattrs26.1.0间接
PyPIbabel2.18.0间接
PyPIbeautifulsoup44.15.0间接
PyPIbqskitrs0.4.1间接
PyPIcertifi2026.6.17间接
PyPIcffi2.1.0间接
PyPIcharset-normalizer3.4.9间接
PyPIclick8.4.2间接
PyPIcloudpickle3.1.2间接
PyPIcolorama0.4.6间接
PyPIcolorlog6.11.0间接
PyPIcomm0.2.3间接
PyPIcoverage7.15.2间接
PyPIcryptography49.0.0间接
PyPIcuda-bindings13.3.1间接
PyPIcuda-pathfinder1.5.6间接
PyPIcuda-toolkit13.0.3.0间接
PyPIdebugpy1.8.21间接
PyPIdecorator5.3.1间接
PyPIdependency-groups1.3.1间接
PyPIdill0.4.1间接
PyPIdistlib0.4.3间接
PyPIdocutils0.21.2间接
PyPIdocutils0.22.4间接
PyPIexceptiongroup1.3.1间接
PyPIexecuting2.2.1间接
PyPIfarama-notifications0.0.6间接
PyPIfastjsonschema2.21.2间接
PyPIfilelock3.31.1间接
PyPIfsspec2026.6.0间接
PyPIfuro2025.12.19间接
PyPIgraphviz0.21间接
PyPIgreenlet3.5.3间接
PyPIgrpcio1.82.1间接
PyPIgymnasium1.3.0间接
PyPIhumanize4.16.0间接
PyPIibm-cloud-sdk-core3.26.0间接
PyPIibm-platform-services0.76.0间接
PyPIibm-quantum-schemas0.9.20260612间接
PyPIidna3.18间接
PyPIimagesize2.0.0间接
PyPIimportlib-metadata9.0.0间接
PyPIiniconfig2.3.0间接
PyPIipykernel7.3.0间接
PyPIipython8.39.0间接
PyPIipython9.15.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIjedi0.20.0间接
PyPIjinja23.1.6间接
PyPIjoblib1.5.3间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter-cache1.0.1间接
PyPIjupyter-client8.9.1间接
PyPIjupyter-core5.9.1间接
PyPIlark1.3.1间接
PyPIlatexcodec3.0.1间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py3.0.0间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib-inline0.2.2间接
PyPImdit-py-plugins0.6.1间接
PyPImdurl0.1.2间接
PyPImpmath1.3.0间接
PyPImyst-nb1.4.0间接
PyPImyst-parser4.0.1间接
PyPImyst-parser5.1.0间接
PyPInarwhals2.24.0间接
PyPInbclient0.11.0间接
PyPInbformat5.10.4间接
PyPInest-asyncio21.7.2间接
PyPInetworkx3.4.2间接
PyPInetworkx3.6.1间接
PyPInox2026.7.11间接
PyPInvidia-cublas13.1.1.3间接
PyPInvidia-cuda-cupti13.0.85间接
PyPInvidia-cuda-nvrtc13.0.88间接
PyPInvidia-cuda-runtime13.0.96间接
PyPInvidia-cudnn-cu139.20.0.48间接
PyPInvidia-cufft12.0.0.61间接
PyPInvidia-cufile1.15.1.6间接
PyPInvidia-curand10.4.0.35间接
PyPInvidia-cusolver12.0.4.66间接
PyPInvidia-cusparse12.6.3.3间接
PyPInvidia-cusparselt-cu130.8.1间接
PyPInvidia-nccl-cu132.29.7间接
PyPInvidia-nvjitlink13.3.33间接
PyPInvidia-nvshmem-cu133.4.5间接
PyPInvidia-nvtx13.0.85间接
PyPIopenqasm31.0.1间接
PyPIorjson3.11.9间接
PyPIpackaging26.2间接
PyPIparso0.8.7间接
PyPIpexpect4.9.0间接
PyPIpillow12.3.0间接
PyPIplatformdirs4.10.1间接
PyPIpluggy1.6.0间接
PyPIprompt-toolkit3.0.52间接
PyPIprotobuf7.35.1间接
PyPIpsutil7.2.2间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpybase641.4.3间接
PyPIpybtex0.26.1间接
PyPIpybtex-docutils1.0.3间接
PyPIpycparser3.0间接
PyPIpydantic2.13.4间接
PyPIpydantic-core2.46.4间接
PyPIpygments2.20.0间接
PyPIpyjwt2.13.0间接
PyPIpyspnego0.12.1间接
PyPIpytest9.1.1间接
PyPIpytest-cov7.1.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.4间接
PyPIpyyaml6.0.3间接
PyPIpyzmq27.1.0间接
PyPIqiskit-aer0.17.2间接
PyPIqiskit-qasm3-import0.6.0间接
PyPIqwasm1.0.1间接
PyPIreferencing0.37.0间接
PyPIrequests2.34.2间接
PyPIrequests-ntlm1.3.0间接
PyPIroman-numerals4.1.0间接
PyPIrpds-py0.30.0间接
PyPIrpds-py2026.6.3间接
PyPIrustworkx0.18.0间接
PyPIsamplomatic0.20.0间接
PyPIscipy1.15.3间接
PyPIscipy1.17.1间接
PyPIscipy1.18.0间接
PyPIsetuptools83.0.0间接
PyPIsix1.17.0间接
PyPIsnowballstemmer3.1.1间接
PyPIsoupsieve2.9间接
PyPIsphinx8.1.3间接
PyPIsphinx9.0.4间接
PyPIsphinx9.1.0间接
PyPIsphinx-autoapi3.8.0间接
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              "public_repos": 21,
              "account_age_days": 711
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "99 followers of munich-quantum-toolkit",
                "points": 14.4,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 99,
                      "login": "munich-quantum-toolkit"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "21 public repos, account ~1 yr old",
                "points": 13.7,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 21
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 1
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "mqt.predictor"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 7
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 7 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 7
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "14 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 14
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 86,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "4 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 4
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                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "good",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 75,
            "inputs": {
              "topics": [
                "quantum-circuit",
                "quantum-compiler",
                "reinforcement-learning",
                "supervised-machine-learning"
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              "has_wiki": false,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": true,
              "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": 25,
                "status": "met",
                "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": "4 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 4
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "good",
        "name": "Security",
        "value": 77,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "good",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 71,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 7.1
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 6/26 approved changesets -- score normalized to 2",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 6 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 200 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 200
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 200,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 200,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 9
            },
            "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": "excellent",
        "name": "AI Readiness",
        "value": 88,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "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"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                "AGENTS.md"
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              "agent_instruction_max_bytes": 4396
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md"
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                  }
                ],
                "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": "excellent",
            "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",
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                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
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              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
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              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
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                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "noxfile.py",
                "points": 18,
                "status": "met",
                "details": [
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                    "code": "file_list",
                    "params": {
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                  }
                ],
                "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": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/mqt/predictor/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/mqt/predictor/py.typed"
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "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": "all dependencies are pinned",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 26944,
              "source_files_sampled": 30,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/mqt/predictor/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/mqt/predictor/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/30 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 30,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": [
    "deps.dev does not index pypi:mqt.predictor@2.4.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T06:12:59.794172Z",
  "schema_version": "0.17.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/munich-quantum-toolkit/predictor.svg",
  "full_name": "munich-quantum-toolkit/predictor",
  "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 v0.17.0—— 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.