Public record
Software health reportschema 0.27.0 · metrics 1.13.0 · 2026-08-02 03:49 UTC

UdayLab / PAMI

PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)

Jupyter Notebook · HTMLGPL-3.0★ 290 stars⑂ 252 forkssince Jun 2021View on GitHub ↗

UdayLab/PAMI holds a health index of 70 out of 100, placing it in the Good band. It scores highest on Vitality (84/100) and lowest on AI Readiness (37/100). It was last updated today. 2 contributors account for most of its recent work.

70
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

70
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

16 followers11 public repossince Aug 2020

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIpami2026.7.29.15,0252830 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

84Good · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
14.5/36Commit cadence — 21/52 weeks with commits
18/18Commit volume — 130 commits in the last year
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Inputs used
commits_last_year130
human_commit_share0.97
days_since_last_push0
active_weeks_last_year21
How it's scored
27/27Ships releases — 16 releases published
36/36Release recency — latest release 0 days ago
19.8/27Release cadence — a release every ~93.8 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count16
latest_release_tagPAMI2026.07.29.1
releases_from_tagsno
days_since_latest_release0
mean_days_between_releases93.8
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

58Moderate · 18% of overall
How it's scored
39.9/60Stars — 290 stars
20/25Forks — 252 forks
3.3/15Watchers — 5 watchers
Inputs used
forks252
stars290
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (GPL-3.0)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
How it's scored
49.3/80Monthly downloads — 5,025 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespami
dependents
ecosystemspypi
total_downloads
monthly_downloads5,025
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

76Good · 24% of overall
How it's scored
25.2/54Bus factor — 2 contributor(s) cover half of all commits
13.9/22.5Commit distribution — top contributor authored 38% of commits
13.5/13.5Contributor breadth — 29 contributors
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Inputs used
bus_factor2
contributors_sampled29
top_contributor_share0.38
How it's scored
46.8/46.8Issue resolution — 100% of issues closed
30.1/38.3PR acceptance — 451/573 decided PRs merged
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Inputs used
merged_prs451
open_issues0
closed_issues32
issue_closed_ratio1
closed_unmerged_prs122
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
8.8/25Owner reach — 16 followers of UdayLab
19.7/25Track record — 11 public repos, account ~5 yr old
Inputs used
followers16
owner_typeOrganization
is_verified
owner_loginUdayLab
public_repos11
account_age_days2,170
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 0 days ago
20/20Version history — 283 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespami
ecosystemspypi
any_deprecatedno
min_days_since_publish0

Engineering Quality

Are baseline engineering and documentation practices in place?

69Moderate · 20% of overall
How it's scored
24/24CI workflows — 1 workflow(s)
24/24Tests present
0/16Linter config
0/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 5 merged PRs checked by a CI test -- score normalized to 0
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configno
has_precommit_configno

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://udaylab.github.io/PAMI/
10/10Repository description
10/10Topics — 13 topics
10/10Wiki
Inputs used
topicsfrequent-itemsets, frequent-pattern-mining, python, sequence-mining, periodic-patterns, periodicity, pattern-mining, pattern-recognition, frequent-subgraphs, stream-mining, spatial-data, spatiotemporal-data-analysis, spatiotemporal-data
has_wikiyes
homepagehttps://udaylab.github.io/PAMI/
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

58Moderate · 16% of overall
How it's scored
0.8/7.5Binary-Artifacts — binaries present in source code
0/7.5Branch-Protection — no data
0/2.5CI-Tests — 0 out of 5 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 4 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
2.5/2.5License — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — no data
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
2/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 14 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4.7
Excluded from scoring (no data or not applicable): branch_protection, packaging, signed_releases. Remaining weights renormalized.
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
0/25Indirect dependencies free of known advisories — transitive set not separable from development and test dependencies in this scope
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories28
affected_packages2
assessed_packages15
unassessed_packages19
affected_by_severitycritical 1, moderate 1
direct_affected_packages0
Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 15 resolved dependencies against OSV. 19 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list. 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.

AI Readiness

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.

37At risk · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
12.6/40Legible commit history — 23 of 97 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtno
legible_history_share0.237
agent_instruction_files
agent_instruction_max_bytes
How it's scored
18/18One-command bootstrap — finalSphinxDocs/Makefile
22/22Automated tests
0/11Lint / format config
0/11Static type checking
0/10Reproducible environment
0/10Demonstrated agent practice — no agent-authored commits among the last 100
8/8Automated maintenance — 3 of the last 100 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfiles
has_dockerfileno
typed_languageno
bootstrap_filesfinalSphinxDocs/Makefile
has_devcontainerno
has_linter_configno
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0.03
How it's scored
0/45Type-checkable code — Jupyter Notebook without a type-check config
54.4/55Manageable file sizes — 6/596 source files over 60KB
Inputs used
primary_languageJupyter Notebook
largest_source_bytes893,569
source_files_sampled596
oversized_source_files6
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Key facts

290GitHub stars
29contributors
130commits, last 12 months
0days since last push
16releases
2bus factor
0open issues
PyPIpackage ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:pami@2026.7.29.1; advisories assessed against the repository dependency graph instead

More detail

Star and fork history 0 ★ / 252 ⇿
0Stars
252Forks
15Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

050100150200250248562021-092024-022026-07
Major 0Minor 0Patch 6

Each point covers 5 days.

OpenSSF Scorecard 4.7 / 10
4.7aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-08-02 03:48 UTC

1Binary-Artifactsbinaries present in source code
n/aBranch-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
0CI-Tests0 out of 5 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 4 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 0 issue activity found in the last 90 days -- score normalized to 10
n/aPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
4Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities14 existing vulnerabilities detected
All dependencies 34

Full resolved dependency set from the GitHub dependency graph: 0 direct and 34 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIbuildindirect
PyPIcupy12.1.0indirect
PyPIdeprecatedindirect
PyPIdeprecated1.2.14indirect
PyPIdiscord-pyindirect
PyPIfastparquetindirect
PyPImatplotlibindirect
PyPImatplotlib3.7.2indirect
PyPInetworkxindirect
PyPInumpyindirect
PyPInumpy1.25.1indirect
PyPIpandasindirect
PyPIpandas2.0.3indirect
PyPIpillowindirect
PyPIpillow12.2.0indirect
PyPIplotlyindirect
PyPIplotly5.15.0indirect
PyPIpsutilindirect
PyPIpsutil5.9.5indirect
PyPIpycudaindirect
PyPIpysparkindirect
PyPIresourceindirect
PyPIresource0.2.1indirect
PyPIsetuptools78.1.1indirect
PyPIsphinxindirect
PyPIsphinx7.2.6indirect
PyPIsphinx-rtd-themeindirect
PyPIsphinx-rtd-theme1.3.0indirect
PyPItwineindirect
PyPIurllib3indirect
PyPIurllib32.7.0indirect
PyPIvalidatorsindirect
PyPIvalidators0.20.0indirect
PyPIwheel0.46.2indirect
Dependency advisories 2

This repository publishes no package the index resolves, so its own dependency graph was assessed — 15 packages, which also include development and test pins that never ship: 2 carry known advisories, of which 0 are direct. 19 could not be assessed — no resolved version, an unsupported ecosystem, or beyond the reported package list.

PackageVersionRelationSeverityAdvisoriesFixed in
pillow12.2.0indirectcritical2612.3.0
setuptools78.1.1indirectmoderate283.0.0

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable
{
  "data": {
    "repo": {
      "topics": [
        "frequent-itemsets",
        "frequent-pattern-mining",
        "python",
        "sequence-mining",
        "periodic-patterns",
        "periodicity",
        "pattern-mining",
        "pattern-recognition",
        "frequent-subgraphs",
        "stream-mining",
        "spatial-data",
        "spatiotemporal-data-analysis",
        "spatiotemporal-data"
      ],
      "is_fork": false,
      "size_kb": 175902,
      "has_wiki": true,
      "homepage": "https://udaylab.github.io/PAMI/",
      "languages": {
        "C++": 12879,
        "CSS": 20047,
        "HTML": 18004694,
        "Shell": 600,
        "Python": 5622607,
        "Makefile": 634,
        "Batchfile": 765,
        "JavaScript": 34861,
        "Jupyter Notebook": 96001711
      },
      "pushed_at": "2026-08-02T03:35:40Z",
      "created_at": "2021-06-15T04:49:15Z",
      "owner_type": "Organization",
      "updated_at": "2026-08-02T03:31:14Z",
      "description": "PAMI is a Python library containing 100+ algorithms to discover useful patterns in various databases across multiple computing platforms. (Active)",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "GPL-3.0",
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      "license_spdx_raw": "GPL-3.0",
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      "significant_languages": [
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        "HTML"
      ]
    },
    "owner": {
      "blog": "https://u-aizu.ac.jp/~udayrage/",
      "name": "Sustainable Ambient Computing Lab",
      "type": "Organization",
      "login": "UdayLab",
      "company": null,
      "location": "Japan",
      "followers": 16,
      "avatar_url": "https://avatars.githubusercontent.com/u/70084063?v=4",
      "created_at": "2020-08-23T03:36:45Z",
      "is_verified": null,
      "public_repos": 11,
      "account_age_days": 2170
    },
    "license": {
      "state": "standard",
      "spdx_id": "GPL-3.0",
      "raw_spdx": "GPL-3.0",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "PAMI2026.07.29.1",
          "kind": "other",
          "published_at": "2026-08-02T03:35:40Z"
        },
        {
          "tag": "PAMI2026.07.01",
          "kind": "other",
          "published_at": "2026-07-01T07:09:43Z"
        },
        {
          "tag": "PAMI2025.03.25",
          "kind": "other",
          "published_at": "2025-03-25T07:39:23Z"
        },
        {
          "tag": "PAMI2024.10.24.1.1",
          "kind": "other",
          "published_at": "2024-10-24T14:17:54Z"
        },
        {
          "tag": "PAMI2024.8.5",
          "kind": "other",
          "published_at": "2024-08-05T12:05:25Z"
        },
        {
          "tag": "PAMI2024.7.2",
          "kind": "other",
          "published_at": "2024-07-02T09:16:27Z"
        },
        {
          "tag": "PAMI2024.6.10",
          "kind": "other",
          "published_at": "2024-06-10T14:20:23Z"
        },
        {
          "tag": "2024.5.1",
          "kind": "patch",
          "published_at": "2024-05-01T06:31:11Z"
        },
        {
          "tag": "2024.4.11.1",
          "kind": "other",
          "published_at": "2024-04-11T11:01:28Z"
        },
        {
          "tag": "2024.4.10.1",
          "kind": "other",
          "published_at": "2024-04-10T09:25:24Z"
        },
        {
          "tag": "2024.08.08",
          "kind": "patch",
          "published_at": "2024-04-08T08:42:04Z"
        },
        {
          "tag": "2023.07.07",
          "kind": "patch",
          "published_at": "2023-07-07T07:05:48Z"
        },
        {
          "tag": "2023.05.01",
          "kind": "patch",
          "published_at": "2023-06-20T07:53:43Z"
        },
        {
          "tag": "2023.03.01",
          "kind": "patch",
          "published_at": "2023-04-03T12:11:46Z"
        },
        {
          "tag": "0.9.5.1",
          "kind": "other",
          "published_at": "2021-10-26T11:20:26Z"
        },
        {
          "tag": "0.9.5",
          "kind": "patch",
          "published_at": "2021-10-01T14:39:56Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "c9d1fd2e8b8aad566dbbbf7ee38d50bae11cc73c",
          "body": "2026.07.29.1 changes",
          "is_bot": false,
          "headline": "Merge pull request #618 from MithunThangaraj/main",
          "author_name": "Ojash-Shrestha",
          "author_login": "Ojash-Shrestha",
          "committed_at": "2026-08-02T03:30:58Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "b9d410ee96d6ecdbd78d026ffb53b9d03cadaf4c",
          "body": null,
          "is_bot": false,
          "headline": "updated setup.py",
          "author_name": "MithunThangaraj",
          "author_login": "MithunThangaraj",
          "committed_at": "2026-08-02T03:27:36Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2d2fa47f3fb0b462b7fd103d8555e9b21653f186",
          "body": " Add binary dataset generators and BinaryApriori miner; fix parsing & state bugs",
          "is_bot": false,
          "headline": "Merge pull request #617 from Ojash927/main",
          "author_name": "Mithun",
          "author_login": "MithunThangaraj",
          "committed_at": "2026-07-30T08:04:11Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "503fdc7ca6f5b57a1237877eb2dc82d02bdea537",
          "body": null,
          "is_bot": false,
          "headline": "updated setup.py",
          "author_name": "MithunThangaraj",
          "author_login": "MithunThangaraj",
          "committed_at": "2026-07-29T08:02:31Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ccd7bff24d7463e2b31a26b924bfa9de9c03a10a",
          "body": null,
          "is_bot": false,
          "headline": "Merge remote-tracking branch 'origin/main'",
          "author_name": "MithunThangaraj",
          "author_login": "MithunThangaraj",
          "committed_at": "2026-07-29T07:17:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "2faaed46109cc814b8bcc27d0432e8cdd0837b07",
          "body": "BinaryDatabase (syntheticDataGenerator) and generateBinaryDatabase (generateDatabase) produce a synthetic 0/1 matrix with a target average number\nof items per transaction, each following the conventions of its own package.\nBoth expose create()/save()/getTransactions(), so the output feeds the binary miners directly without any conversion step.",
          "is_bot": false,
          "headline": "Add synthetic binary database generators",
          "author_name": "Ojash",
          "author_login": "Ojash-Shrestha",
          "committed_at": "2026-07-29T06:16:15Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "03a7262bf8c53bd0113d6d730d516deab98b0acb",
          "body": null,
          "is_bot": false,
          "headline": "added cuCMine",
          "author_name": "MithunThangaraj",
          "author_login": "MithunThangaraj",
          "committed_at": "2026-07-29T06:15:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "03608ea198452741de229c7ab86cb4d0ebebf36b",
          "body": "Introduces PAMI/frequentPattern/binary/, a subpackage for algorithms that take a\nbinary (0/1) matrix directly - rows are transactions, columns are items - rather\nthan requiring the data to be flattened into an item-token file first.\n\nBinaryApriori packs each item column into a uint8 bitset (numpy.pa\n[…]\nmn labels become item\nnames), a DataFrame with a 'Transactions' column, or the path of a 0/1 matrix\nfile with an optional header row. minSup is a count when int, a fraction of the\ndatabase when float.",
          "is_bot": false,
          "headline": "Add BinaryApriori: frequent pattern mining on binary databases",
          "author_name": "Ojash",
          "author_login": "Ojash-Shrestha",
          "committed_at": "2026-07-29T06:15:06Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d7264f86df4c070f6a1b10bc0aeedf2f381f4407",
          "body": "minSup was converted twice, so float thresholds were scaled twice (0.5 -> 5 -> 50)\nand returned no patterns. Also handles blank input lines and resets _lno per run.",
          "is_bot": false,
          "headline": "Fix GPFPMiner double-converting minSup",
          "author_name": "Ojash",
          "author_login": "Ojash-Shrestha",
          "committed_at": "2026-07-29T06:04:57Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1eaa9123bcf0443d6c97f2b60dfc6265bf36bb5d",
          "body": null,
          "is_bot": false,
          "headline": "Fix separator handling and output format in CFPGrowth/CFPGrowthPlus",
          "author_name": "Ojash",
          "author_login": "Ojash-Shrestha",
          "committed_at": "2026-07-29T06:01:54Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "a8ba4adef21ea004c2374381d771d74ddcccf173",
          "body": null,
          "is_bot": false,
          "headline": "Merge branch 'UdayLab:main' into main",
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                "key": "code_review",
                "name": "Code-Review",
                "detail": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 4 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 0 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 not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "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": 2,
                "status": "partial",
                "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": "14 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "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 15 resolved dependencies against OSV; 19 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). 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"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 15
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 19
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 28,
              "affected_packages": 2,
              "assessed_packages": 15,
              "unassessed_packages": 19,
              "affected_by_severity": "critical 1, moderate 1",
              "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": 15,
              "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": 3
            },
            "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": 37,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 13,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.237,
              "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": "23 of 97 human commits state their intent (structured subject or explanatory body)",
                "points": 12.6,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 23,
                      "sampled": 97
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 48,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "finalSphinxDocs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.03
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "finalSphinxDocs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "finalSphinxDocs/Makefile"
                    }
                  }
                ],
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "3 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 3,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "primary_language": "Jupyter Notebook",
              "largest_source_bytes": 893569,
              "source_files_sampled": 596,
              "oversized_source_files": 6
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Jupyter Notebook without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Jupyter Notebook"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "6/596 source files over 60KB",
                "points": 54.4,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 596,
                      "oversized": 6
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:pami@2026.7.29.1; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-02T03:49:17.598804Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/u/UdayLab/PAMI.svg",
  "full_name": "UdayLab/PAMI",
  "license_state": "standard",
  "license_spdx": "GPL-3.0"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.27.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.