databricks / databricks-sql-python

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

Кожна точка охоплює 4 днів.

Повний розв'язаний набір залежностей із графа залежностей GitHub: 13 прямих і 45 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

Встановлення pypi:databricks-sql-connector@4.3.0 тягне 16 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

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                "key": "openssf_scorecard_contributors",
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                "key": "openssf_scorecard_code_review",
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              "followers": 3894,
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                "key": "verified_domain",
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              {
                "key": "owner_reach",
                "name": "Owner reach",
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              {
                "key": "track_record",
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                "detail": "261 public repos, account ~13 yr old",
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              "ecosystems": "pypi",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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              },
              {
                "key": "dependency_update_tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "license",
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                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
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                "status": "met",
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                "key": "packaging",
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 9",
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                "status": "partial",
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              {
                "key": "sast",
                "name": "SAST",
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                "status": "missed",
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
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              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
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                ],
                "max_points": 7.5
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                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
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              }
            ]
          },
          {
            "key": "dependency_advisories",
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            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:databricks-sql-connector@4.3.0 runtime dependency closure — what installing the published package pulls in — 16 packages. Reachability is not analyzed.",
            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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