google/pyglove має індекс здоров’я 68 зі 100, що відповідає смузі «Помірний». Найвищий показник — Community & Adoption (74/100), найнижчий — AI Readiness (30/100). Останнє оновлення було 4 дні тому. Більшість нещодавньої роботи виконує один учасник.
68
загалом / 100
Помірний
Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
68
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25
Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40
Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
source
osv
advisories
0
affected_packages
0
assessed_packages
2
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:pyglove@0.4.5 — тим, що тягне за собою встановлення опублікованого пакета, — 2 пакетів. Досяжність не аналізується.
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirs
examples, notebooks
has_mcp_signal
ні
api_schema_files
—
Ключові факти
717зірок GitHub
12контриб'юторів
40комітів за останні 12 місяців
4днів від останнього пушу
10релізів
1бас-фактор
1відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Докладніше
Історія зірок і форків 0 ★ / 39 ⇿
0Зірки
39Форки
10Релізи
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.
Мажорні 0Мінорні 3Патчі 7
Кожна точка охоплює 4 днів.
OpenSSF Scorecard 5.9 / 10
5.9сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-25 08:48 UTC
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 10 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
Реєстр
Пакет
Версія
Зв'язок
PyPI
absl-py
—
непряма
PyPI
autodocsumm
—
непряма
PyPI
docstring-parser
—
непряма
PyPI
fsspec
—
непряма
PyPI
furo
—
непряма
PyPI
jinja2
—
непряма
PyPI
myst-nb
—
непряма
PyPI
sphinx-autodoc-typehints
—
непряма
PyPI
sphinx-copybutton
—
непряма
PyPI
termcolor
—
непряма
Сповіщення про залежності 0
Встановлення pypi:pyglove@0.4.5 тягне 2 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.
Звіт у форматі JSON машиночитний
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"size_kb": 4163,
"has_wiki": false,
"homepage": null,
"languages": {
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"created_at": "2022-05-12T23:46:21Z",
"owner_type": "Organization",
"updated_at": "2026-07-21T09:25:24Z",
"description": "Manipulating Python Programs",
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"type": "Organization",
"login": "google",
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{
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}
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"is_bot": false,
"headline": "Add an explicit `trusted: bool = True` parameter to `pg.from_json` and",
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"headline": "`pg.io`: Path check is not necessary for `StdFile.close`.",
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"body": "Some file systems (especially those under heavy load) write to temporary paths and use an atomic rename operation upon closing the file. By polling for the final path's existence, we guarantee the file is fully finalized and visible before proceeding with subsequent operations like `os.chmod()` or reading.\n\nPiperOrigin-RevId: 832993526",
"is_bot": false,
"headline": "[pg.io] Wait for the file path to exist after closing.",
"author_name": "Daiyi Peng",
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"body_truncated": false,
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},
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"body_truncated": false,
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"is_bot": false,
"headline": "Fix Python 3.9 and 3.10 test error.",
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"author_login": "daiyip",
"committed_at": "2025-11-04T17:35:44Z",
"body_truncated": false,
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"is_bot": false,
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"body_truncated": false,
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},
{
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"body": null,
"is_bot": false,
"headline": "Support Python 3.14.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-11-01T21:27:33Z",
"body_truncated": false,
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},
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"body": "PiperOrigin-RevId: 825810047",
"is_bot": false,
"headline": "Fix flaky evolution test when mutation happens on the last DNA.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-30T02:28:28Z",
"body_truncated": false,
"is_coding_agent": false
},
{
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"body": "PiperOrigin-RevId: 825765785",
"is_bot": false,
"headline": "TabControl to support `remove` method.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-29T23:57:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b9b1818a57fee04095a7f737d4d3f66696b14194",
"body": "Example:\n\n```\nclass A(pg.Object):\n # pg.Ref[B] is a `pg.typing.ValueSpec` object.\n x: dict[int, pg.Ref[B]]\n```\n\nPiperOrigin-RevId: 822725527",
"is_bot": false,
"headline": "Allow pg.typing.ValueSpec to be used as sub-type annotations.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-22T20:48:23Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fb31092f3dfcd76ecab0eaf17628fb3f42e57eb1",
"body": "… Objects\n\nThis enhancement introduces formal serialization support for pg.Ref, allowing PyGlove to correctly serialize and deserialize objects that share references.\n\nExample:\n```\nclass Foo(pg.Object):\n x: Any\n\nclass Bar(pg.Object):\n y: int\n\nfoo = Foo(Bar(1))\nfoo2 = Foo(foo.x) # foo.x is\n[…]\nhe exact same shared instances.\n\nThis change greatly extends PyGlove's ability to handle complex object structures and common programming patterns involving shared state.\n\nPiperOrigin-RevId: 822584923",
"is_bot": false,
"headline": "Formal Serialization for `pg.Ref`: Enhancing PyGlove to Handle Shared…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-22T14:42:55Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "e732a084ac245bc8c2c2c4e68a3017d4cb772aaf",
"body": "With this change, `Dict.get()`, `Dict.values()`, `Dict.items()` will evaluate element value if the element is `pg.Inferential`. This also aligns the semantics with `List.__getitem__()` `List.__getattr__` and `List.__iter__()`.\n\nExample:\n```\nclass A(pg.Object):\n pass\n\nd = pg.Dict(x=pg.Ref(A())\nassert\n[…]\n # Instead of `pg.Ref`\nassert isinstance(list(d.values())[0], A) # Instead of `pg.Ref`\nassert isinstance(list(d.items())[0][1], A) # Instead of `pg.Ref`\n```\nPiperOrigin-RevId: 821712306",
"is_bot": false,
"headline": "`pg.Dict`: Evaluate inferential value for standard dict operations.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-20T17:45:58Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "7802e4f1d93693718637894daf097e615fd6d3d9",
"body": "PiperOrigin-RevId: 821361894",
"is_bot": false,
"headline": "No public description",
"author_name": "PyGlove Authors",
"author_login": null,
"committed_at": "2025-10-19T18:20:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "650ad917ddc08a43b7247eb821903fd2ef65e3c3",
"body": "With this change, `Dict.get()`, `Dict.values()`, `Dict.items()` will evaluate element value if the element is `pg.Inferential`. This also aligns the semantics with `List.__getitem__()` `List.__getattr__` and `List.__iter__()`.\n\nExample:\n```\nclass A(pg.Object):\n pass\n\nd = pg.Dict(x=pg.Ref(A())\nassert\n[…]\n # Instead of `pg.Ref`\nassert isinstance(list(d.values())[0], A) # Instead of `pg.Ref`\nassert isinstance(list(d.items())[0][1], A) # Instead of `pg.Ref`\n```\nPiperOrigin-RevId: 821342698",
"is_bot": false,
"headline": "`pg.Dict`: Evaluate inferential value for standard dict operations.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-19T16:33:23Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "ea13a507bbfbdf70c6beb0e2a1900df8145d7365",
"body": "PiperOrigin-RevId: 820474675",
"is_bot": false,
"headline": "`with_contextual_override` to support coroutines.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-17T01:43:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "779e9b1cf2fa8a779693d51cc12d62fe8a51c22c",
"body": "- `pg.ValueSpec.to_json_schema()` to support default value.\n- Introduce `pg.ValueSpec.from_json_schema()` / `pg.Schema.from_json_schema()` to allow creation of ValueSpec from JSON schema.\n\nPiperOrigin-RevId: 820048200",
"is_bot": false,
"headline": "`pg.typing`: Enhancements to JSON schema conversion.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-16T04:29:39Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e7c8e81c40a225a8c4f0541acb3a9f936d769d9c",
"body": "* Counters are metrics that track the number of times an event occurs. It's\nmonotonically increasing over time.\n\n* Scalars are metrics that track a single value at a given time, for example,\navailable memory size. It does not accumulate over time like counters.\n\n* Distributions are metrics that track the distribution of a numerical value.\nFor example, the latency of an operation.\n\nPiperOrigin-RevId: 816976497",
"is_bot": false,
"headline": "Formalize monitoring metrics: Counter, Scalar and Distributions.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-09T03:14:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4a1e8b45a3982a727f9abfbf87a2ef5882ccb055",
"body": "…duration`.\n\nPiperOrigin-RevId: 814384615",
"is_bot": false,
"headline": "[pg.monitoring] Handle empty error with `pg.monitoring.Scalar.record_…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-02T21:22:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ef07d6af69fcbeb6b983a5a458375326c0344ead",
"body": "PiperOrigin-RevId: 814368980",
"is_bot": false,
"headline": "[pg.monitoring] Scalar.record_duration to optionally track error.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-02T20:45:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "46304868d813ddcce575163a58d9579844f340da",
"body": "PiperOrigin-RevId: 814064958",
"is_bot": false,
"headline": "Add `pg.monitoring.Scalar.record_duration()`.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-10-02T05:02:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e9edd54ca5d16218ec264e9636e86136d2e0afc4",
"body": "…() by providing an empty dict as a fallback.\n\nPiperOrigin-RevId: 813104024",
"is_bot": false,
"headline": "This change ensures that hyper_dict is not None before calling .items…",
"author_name": "PyGlove Authors",
"author_login": null,
"committed_at": "2025-09-30T06:11:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5a187bafd52d2cc0843679f977633c2826a92991",
"body": "…ecution.\n\n```python\ncollection = pg.monitoring.metric_collection('/myapp')\nfoo = collection.get_counter('foo', 'description for foo')\nassert foo.increment() == 1\n\nbar = collection.get_scalar('bar', 'description for bar', parameters={'module': str})\nbar.record(10, module='module1')\nassert bar.distribution(module='module1').mean == 10.0\n```\nPiperOrigin-RevId: 811946930",
"is_bot": false,
"headline": "Introduce `pg.monitoring`: MetricCollection for monitoring program ex…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-09-26T21:01:11Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "a4c17fe82eeee8bb84fa4d37484a0c51292f4396",
"body": "This allows user to redirect loggers to custom IOs.\n\nPiperOrigin-RevId: 811115465",
"is_bot": false,
"headline": "Introduce `pg.logging.use_stream`.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-09-25T01:18:17Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c6819c42469f36e31eab2ff09d3f18c3dd33c8d1",
"body": "PiperOrigin-RevId: 805921677",
"is_bot": false,
"headline": "Extract `pg.match_error` from `pg.catch_errors`.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-09-11T18:34:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "c080ff49620cd427c7230fa5e9bdd24cb9582e55",
"body": "PiperOrigin-RevId: 786880724",
"is_bot": false,
"headline": "`JsonConvertible.add_module_alias` to support multiple aliases",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-07-24T23:47:52Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5f38cad20384fdcc6eb848284e82e6934e2f1aaa",
"body": "PiperOrigin-RevId: 783503779",
"is_bot": false,
"headline": "Merge pull request #372 from google:daiyip-patch-1",
"author_name": "pyglove authors",
"author_login": null,
"committed_at": "2025-07-15T22:58:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0f4c7f73dd41c9c814b94f0c374db1a30efc65e5",
"body": null,
"is_bot": false,
"headline": "Bump PyGlove dev version to 0.5.0",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-07-15T19:11:10Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d655ea0f60c22add8a43fe3024ce1801bdc27e78",
"body": "PiperOrigin-RevId: 782393896",
"is_bot": false,
"headline": "Python 3.13 Support.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-07-12T20:43:34Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4809eb5314420d1969c7528b43ac80a304fa9c92",
"body": null,
"is_bot": false,
"headline": "Python 3.13 support",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-07-12T17:33:49Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "976ecbfb2800d7119ef835feec8c37a00ac05419",
"body": "…ues=True`.\n\n`np.ndarray == <number>` will return a `np.ndarray` which does not evaluate to a bool value. By putting `field.default_value` on the left, the `__eq__` method of `field.default_value` will take higher priority than `np.ndarray.__eq__`.\n\nPiperOrigin-RevId: 761832755",
"is_bot": false,
"headline": "Make `pg.to_json` compatible with `np.ndarray` with `hide_default_val…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-05-22T07:08:59Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "e55ea669df8dce6b2fdb1f92494da1ca080b7445",
"body": "PiperOrigin-RevId: 759654174",
"is_bot": false,
"headline": "Expose `pg.ErrorInfo`.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-05-16T16:57:29Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "28c9b51d35d4390ae68e0487d6428e7754d32272",
"body": "Previous pg.utils.ErrorInfo is not HTML friendly. To fix this issue, we introduce\nsymbolic ErrorInfo class. Besides HTML support, it inherits all the benefits of PyGlove objects, e.g. automatic serialization support, flexible formatting, symbolic traversal etc.\n\nThis CL also fix pytype errors for python files under docs.\n\nPiperOrigin-RevId: 759385485",
"is_bot": false,
"headline": "Introduce symbolic ErrorInfo.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-05-16T01:23:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "f7390c120b0c173ee73c97c239c7668def226723",
"body": "```python\nclass Foo(metadata=abc.ABCMeta):\n @property\n @abc.abstractmethod\n def bar(self):\n pass\n\nclass Bar(pg.Object, Foo):\n # `bar` will introduce property `bar` that overrides the abstract `Foo.bar`.\n bar: int\n\nassert Bar(1).bar == 1\n```\n\nPiperOrigin-RevId: 759224544",
"is_bot": false,
"headline": "Allow symbolic attribute to override abstract properties.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-05-15T18:18:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9018f2589b4ef861a02100bb03b67e07187e5509",
"body": "```python\nclass A(pg.Object):\n x: int\n y: str\n\n# Schema to JSON schema.\nA.__schema__.to_json_schema()\n\n# ValueSpec to JSON schema.\nA.__schema__['x'].value.to_json_schema()\n```\n\nPiperOrigin-RevId: 754047380",
"is_bot": false,
"headline": "Add PyGlove schema to JSON Schema conversion.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-05-02T17:16:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d1f94c9120ce50db9180f618bfbaf44a6c72a86e",
"body": "To make composition of child HTML elements easier, we make\n1. Html.element to support nestable list of child elements.\n2. LabelGroup to support nestable list of Labels that contains None.\n3. TabControl to support nestable list of Tabs that contains None. `select` supports name and name list.\n\nPiperOrigin-RevId: 752953428",
"is_bot": false,
"headline": "Enhancement to PyGlove HTML controls.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-30T01:03:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "cb9964e8651f363a93273dde0d1a1769ddca9f58",
"body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 752777826",
"is_bot": false,
"headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-29T16:59:07Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4b9c25fb57b76a1669cec783dca343e77fb37f05",
"body": "PiperOrigin-RevId: 752414465",
"is_bot": false,
"headline": "Automated Code Change",
"author_name": "Hana Joo",
"author_login": "h-joo",
"committed_at": "2025-04-28T19:55:38Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9c0086afd0220248732973ed485749f3a70fde46",
"body": "…pers.\n\nPiperOrigin-RevId: 751851424",
"is_bot": false,
"headline": "Add `pg.logging.register_frame_to_skip` to better support logger wrap…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-26T23:04:13Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5f0aa14a8fa3e83d09cf605687f51150bea87dba",
"body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 750812311",
"is_bot": false,
"headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
"author_name": "Joe Richey",
"author_login": "josephlr",
"committed_at": "2025-04-24T02:31:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "9209f971c82736d5e569a933a4410dc8a4bbc121",
"body": "Allow passing `is_noneable` and `use_none_as_default` arguments. We also unset the default value for Union converted from annotation without default value.\n\nPiperOrigin-RevId: 750779137",
"is_bot": false,
"headline": "Enhancing `pg.typing.ValueSpec.noneable()`",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-24T00:24:21Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "29591ea564770b0080fb12aae15b6c4c60571fb9",
"body": "Also `pg.print` now supports variable positional arguments.\n\nPiperOrigin-RevId: 750352628",
"is_bot": false,
"headline": "`pg.format` to handle recursive structures.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-22T22:44:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b3ad22583c65e630a5dfb8ff524789e91e19ced4",
"body": "This allows exceptions like SystemExit to be caught from bad code.\n\nPiperOrigin-RevId: 749911071",
"is_bot": false,
"headline": "Catch BaseException for pg.coding.evaluate.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-04-21T21:02:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "86aad872fc60c8c16ee64e8b8e414e0e6c68b3f2",
"body": "PiperOrigin-RevId: 740822511",
"is_bot": false,
"headline": "Internal change.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-03-26T17:37:04Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "fd75005974e56fd64e446633832afc949e7bef90",
"body": "PiperOrigin-RevId: 739010067",
"is_bot": false,
"headline": "Set the default file/sequence permissions to world readable.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-03-21T01:39:09Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "2e8981da77f89b8743659998b0a7336fa54d91f8",
"body": "… default.\n\nPiperOrigin-RevId: 736539531",
"is_bot": false,
"headline": "Set the default value of arg `exist_ok` for `pg.io.mkdirs` to True by…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-03-13T16:50:06Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "65c7e520cb8aa0ca5c8bf7d7f1cc9ab72123d5b2",
"body": "PiperOrigin-RevId: 723558958",
"is_bot": false,
"headline": "Improve annotation inference to be compatible with module reloading.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-02-05T18:17:58Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "97d6446a2dea91c67f5f39335e0509573ccb8cdd",
"body": "With this CL, PyGlove is compatible with `__future__.annotations`.\nFor example:\n\n```python\nfrom __future__ import annotations\n\nclass A(pg.Object):\n child: A | None\n```\n\nPiperOrigin-RevId: 723114026",
"is_bot": false,
"headline": "pg.typing to support `__future__.annotations`.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-02-04T17:20:26Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "50d8a38b0328222c2570c95c93caf934b7354966",
"body": "Protocol is a special base class, which cannot be tested via `issubclass` and `isinstance` (without @typing.runtime_checkable). Before this change, PyGlove does not treat Protocol subclasses correctly for typing. This CL fixes this by:\n1) pg.typing.is_subclass(cls, protocol_cls) always returns True \n[…]\n\nclass Foo(Protocol):\n def __call__(self) -> int:\n ...\n\nclass A(pg.Object):\n foo: Foo\n\nclass Bar:\n def __call__(self) -> int:\n return 0\n\nA(Bar()) # Will work.\n```\n\nPiperOrigin-RevId: 722370929",
"is_bot": false,
"headline": "`pg.typing` to support Protocol subclassses.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-02-02T17:32:25Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "c8c5d1ca9e5a750ed828b07c0668bc56da30dd94",
"body": "… at the last expression.\n\nPiperOrigin-RevId: 721812914",
"is_bot": false,
"headline": "`pg.coding.evaluate`: Fix raise when attribute assignment takes place…",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-01-31T18:09:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "ddeb5932ba0c26cdc58e76f99800726bf644f974",
"body": "PiperOrigin-RevId: 718981795",
"is_bot": false,
"headline": "Fix stuck multiprocessing sandbox on large STDOUT.",
"author_name": "Daiyi Peng",
"author_login": "daiyip",
"committed_at": "2025-01-23T21:00:47Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d31a11938dabb9f518cf41986e9d3e469b6161f7",
"body": "PiperOrigin-RevId: 716236530",
"is_bot": false,
"headline": "cleanup of deprecated test methods",
"author_name": "PyGlove Authors",
"author_login": null,
"committed_at": "2025-01-16T15:59:01Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "063caf94dd80587954d9206126e382760ace7d34",
"body": "…narios.\n\n```\nclass A(pg.Object):\n x: str\n\n def foo(self):\n return 1\n\nclass B(A):\n pass\n\nclass C(pg.Object):\n x: Literal['a', 'b']\n\n def foo(self):\n return 2\n\nclass D(B, C):\n pass\n\n# D.foo will be C.foo.\n# Like-wise, D.x shall be Literal['a', 'b'] as B doesn't override A.x.\n# Before this CL D.x is str (B takes precedence of C in multi-inheritance order).\n```\n\nPiperOrigin-RevId: 716220803",
"is_bot": false,
"headline": "Fix symbolic attribute inheritance behavior for multi-inheritance sce…",
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{
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{
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{
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"components": [
{
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{
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{
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"key": "package_maintenance",
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"inputs": {
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"components": [
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{
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"points": 14,
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{
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{
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{
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{
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{
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{
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{
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{
"key": "fuzzing",
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{
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{
"key": "maintained",
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"points": 6.8,
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{
"key": "packaging",
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{
"key": "pinned_dependencies",
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{
"key": "sast",
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{
"key": "security_policy",
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{
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{
"key": "token_permissions",
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"status": "missed",
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{
"key": "vulnerabilities",
"name": "Vulnerabilities",
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},
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"key": "dependency_advisories",
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{
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},
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},
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],
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{
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{
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},
{
"key": "ai_interfaces",
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"components": [
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"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."
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Пов’язані записи
Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з google/pyglove. Читати поруч →
Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
