libscran/irlba має індекс здоров’я 47 зі 100, що відповідає смузі «Слабкий». Найвищий показник — Engineering Quality (72/100), найнижчий — Security (34/100). Останнє оновлення було 63 дні тому. Більшість нещодавньої роботи виконує один учасник.
47
загалом / 100
Слабкий
Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє зважене середнє, відкаліброване за розподілом публічного реєстру, тож діапазони мають перцентильний зміст; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 34 («У зоні ризику»).
47
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні 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.
Зважений загальний бал 48 калібровано до 47 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Має свідомо малу вагу (4%): агентний інструментарій — реальний сигнал супроводу, але репозиторій без нього все одно може отримати 100/100.
Керовані розміри файлів — 0/32 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_language
C++
largest_source_bytes
20 043
source_files_sampled
32
oversized_source_files
0
Ключові факти
18зірок GitHub
2контриб'юторів
36комітів за останні 12 місяців
63днів від останнього пушу
6релізів
1бас-фактор
3відкритих issue
—пакетних екосистем
Попередження щодо збору даних
Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Докладніше
Історія зірок і форків 0 ★ / 4 ⇿
0Зірки
4Форки
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 3 днів.
OpenSSF Scorecard 3.4 / 10
3.4сукупно
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 · 2026-08-03 05:18 UTC
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 0 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
Реєстр
Пакет
Версія
Зв'язок
Сповіщення про залежності не оцінено
Звірка сповіщень не відбулася для цього звіту: No resolved dependencies to assess
Звіт у форматі JSON машиночитний
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"body": "We introduce Matrix and Workspace interfaces that can be inherited from. Each\nMatrix subclass produces instances of various Workspace subclasses, the latter\nof which handles the actual multiplication/realization with non-const\nintermediates. Eigen matrix instances are now wrapped in a SimpleMatrix t\n[…]\npute() functions now only accept a Matrix-compliant object. Eigen matrices\nneed to be supplied to compute_simple() instead. We also rename the PCA function\nto pca(), which also accepts Eigen matrices.",
"is_bot": false,
"headline": "Overhauled matrix interfaces to support run-time polymorphism. (#19)",
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"body": "- Fiddle with Cmake to get Eigen to build its own install files, otherwise the\n Cmake installation of irlba itself will fail.\n- Switch JacobiSVD options to compile-time parameters. Also use more specific\n SFINAE to detect if a matrix can be directly used in JacobiSVD::compute()\n- Minor testfix as setNbThreads throttles itself to OMP's max threads.",
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"headline": "Updates for compatibility with Eigen 5.0.0. (#18)",
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"body": "This should be fast enough for small matrices. It should also be fine\nfor thin/fat matrices where it might be used as a fallback by compute();\nits quadratic runtime just depends on the smaller dimension anwyay.\n\nAlso increase the rigor of the basic tests by turning down the\nconvergence tolerance so that IRLBA is forced to agree with SVD.\nThis allows us to check all singular triplets at a low error.",
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"headline": "Use the JacobiSVD algorithm everywhere, for consistency.",
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"body": "The documentation talks about some cursory testing to justify the use of this\nclass, so I should probably keep the tests somewhere before they get lost.",
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"headline": "Added some performance testing for ParallelSparseMatrix. (#15)",
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"body": "Otherwise, the constructor will attempt to coerce its inputs to an ordinary\nEigen matrix. Hopefully this should be a compile-time error, but for sparse\nEigen matrices, this will cause Centered to hold a dangling reference when the\ntemporary Eigen::MatrixXd goes out of scope.",
"is_bot": false,
"headline": "Bugfix for template parameters passed to the Centered definition.",
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"headline": "Protect against false sharing during parallelized sparse multiplication.",
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"oid": "46281abde9047d28f02f8907a996af191d925a16",
"body": "We wrap this in an irlba::parallelize() function, which provides a central\n(documented) location to control the parallelization scheme. It also provides\nan easy mechanism to switch out with a custom macro function, which we can't\nuse directly with a lambda because of funky substitution issues.\n\nThis\n[…]\nuires some more care and testing for the EigenThreadScope class because\nthere are multiple ways in which OpenMP could be enabled or disabled, e.g.,\nvia subpar's default or by irlba's custom overrides.",
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"headline": "Switch to subpar::parallelize_simple() for parallelization.",
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"body": "This allows irlba.hpp to be a pure umbrella file. In particular, it can also\ninclude parallel.hpp, which is largely irrelevant to the compute() function\nitself but is needed for applications that call compute().",
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"headline": "Moved the top-level function to its own compute.hpp file.",
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"body": "This should allow Eigen to do its internal optimizations based on storage\norder. We move the previous manual-loop implementation over to the tests so\nthat we can confirm that we used the array methods correctly.",
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"headline": "Simplify realization of the wrappers with Eigen array methods.",
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"body": "This ensures that we don't make any assumptions about the output matrices being\ncolumn-major (even though this is the default).\n\nWe also add some more (weak) checks for similarity with a naive SVD.",
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"headline": "Test that row-major output matrices give the same result.",
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"headline": "Avoid unused variable warning when OpenMP is not available.",
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"body": "This avoids repeated evaluation of template expressions in the multiple\nmethods. Rather, 'rhs' is evaluated once and stored in a buffer, to be\nre-used multiple times in each method.\n\nFor single-use 'rhs', this doesn't matter and the template expression\ncan be forwarded to an Eigen operation.",
"is_bot": false,
"headline": "Realize 'rhs' to an Eigen::Vector if it gets used multiple times.",
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"headline": "Added action for auto-tagging, bumped version for new release.",
"author_name": "LTLA",
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"oid": "a7ac44d375c8ba7e3c6e3d0d784a02e38a22286f",
"body": "Also added an action to check for correct downstream installs.",
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"headline": "Specify required versions of dependencies, emit own version file.",
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"oid": "d169a8e857341ba07bb96282b1498410ae487160",
"body": "Fixed all the associated issues in tests and library code. Unfortunately, we\ncan't aggressively turn all warnings into errors as Eigen itself has some\nissues; so we'll just have to manually watch the warnings and fix them.",
"is_bot": false,
"headline": "Turned on all compiler warnings.",
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"headline": "Updated the Doxyfile, cleaned up README and docstrings.",
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"oid": "bff0e76fbb40baf7154183fb0d3d2258fb95799a",
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"headline": "Updated actions, build OpenMP tests by default.",
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{
"oid": "53eb056199b87e95bd911dca3ff37013cbd0d39e",
"body": "This replaces the classes with regular functions (plus a dumb Options struct),\r\nwhich is more intuitive for callers. We template all of the Eigen arguments to\r\nallow callers to choose between doubles and floats. We also move the wrapper\r\ninterface documentation to a dedicated MockMatrix class for easier reading.",
"is_bot": false,
"headline": "Refactor to use a more functional style. (#11)",
"author_name": "Aaron Lun",
"author_login": "LTLA",
"committed_at": "2024-06-22T19:14:35Z",
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"oid": "228e207778597c8c3a0284fd2bfe4347dbb4646e",
"body": "This doesn't actually seem to affect all that much in most cases, but it\nmanifests when the true rank is smaller than the number of requested PCs.",
"is_bot": false,
"headline": "Bugfix for the Lanczos iterations... forgot a daxpy.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2023-09-20T06:02:59Z",
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"oid": "bace9baf758ad396c3d1b8d2d090eb92891aee45",
"body": "This provides an option to return something sensible instead of just throwing.",
"is_bot": false,
"headline": "Cap the requested number of values to the maximum available.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2023-09-16T18:47:40Z",
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{
"oid": "e7f4114ef5a42e9e2d3f5eee61d1af6955e3c1c7",
"body": "This automates the recommendation from the R package, to use the exact SVD\r\nwhen the requested number of PCs is >= half the smaller dimension.",
"is_bot": false,
"headline": "Switch to exact SVD when the number of requested SVs is too high. (#10)",
"author_name": "Aaron Lun",
"author_login": "LTLA",
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{
"oid": "c51f48c43fe5eb3bbb6ac1996070b1ff44d4a83c",
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"is_bot": false,
"headline": "Avoid multiple Actions runs inside a PR.",
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"oid": "7e33d0b49f2e5739fa03186e5a5e2bb3751dbfd0",
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"headline": "Slight test fix that was exposed by this change.",
"author_name": "LTLA",
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"oid": "15d6399fc2c9c2ed4755fa0baef373c086fdedd1",
"body": "…rent.",
"is_bot": false,
"headline": "Fixed Scaled to compile when adjoint/non-adjoint workspaces are diffe…",
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"committed_at": "2023-06-29T15:12:39Z",
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{
"oid": "0b15631122d0267469823a6bf883ddc9c6698650",
"body": "This allows developers to use it in more places (e.g., for observation-level\nweighting in PCA) without having to define their own specialized wrappers.",
"is_bot": false,
"headline": "Generalize the Scaled wrapper to rows and multiplication.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2023-06-29T06:44:24Z",
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"body": null,
"is_bot": false,
"headline": "Point to wrappers.hpp for details on the wrapper contract.",
"author_name": "LTLA",
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{
"oid": "0eee555f27aedefad4bd164d7fc93610aed54e13",
"body": "This supports use of find_package in downstream projects to get the new\r\nltla::irlba target; it also enables use of find_package instead of\r\nFetchContent to get CppIrlba's various dependencies.",
"is_bot": false,
"headline": "Add CMake install targets. (#8)",
"author_name": "moritz-h",
"author_login": "moritz-h",
"committed_at": "2023-03-19T23:41:12Z",
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"headline": "Added more tests for SFINAE checks on the wrappers.",
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"oid": "4ed900e441b068e7e01e8138a7a19143e4b8bf89",
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"headline": "Removed the unnecessary has_data_method checks.",
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"headline": "Added wrapped_realize utility to simplify the realize() methods.",
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"oid": "7a0b13b5e088b7b8065797097d4da4a53024490b",
"body": null,
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"headline": "Further clean-ups to the docs.",
"author_name": "LTLA",
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"committed_at": "2023-03-14T21:14:46Z",
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{
"oid": "04273aca0c4ca3838fa7429a32607eff14a2df77",
"body": "These utilities can also be used in third-party code to make it easier\nto develop wrappers without manually checking whether the wrapped object\nis an Eigen matrix-like instance or an irlba wrapper class.",
"is_bot": false,
"headline": "Centralize the decision to call '*' vs 'multiply()' into utilities.",
"author_name": "LTLA",
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"committed_at": "2023-03-14T21:02:13Z",
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},
{
"oid": "98ac1e7231c0e1d5491f69ec986e33acdeaa93b7",
"body": "Specifically, these are intermediate objects that depend on the RHS in the\r\nwrapper class's multiply or adjoint_multiply methods. We don't want to have to\r\nre-allocate memory for these intermediates upon every call to multiply, so the\r\nidea is to allocate it once in the workspace at the start of the\n[…]\nedWorkspace\r\nclass. This allows wrappers to define their own workspace classes that\r\ncontain the workspace for the wrapped matrix, without needing to worry\r\nabout the exact type of the wrapped matrix.",
"is_bot": false,
"headline": "Require wrappers to implement workspaces for intermediate objects.",
"author_name": "Aaron Lun",
"author_login": "LTLA",
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"headline": "Fixes to docs, comments and error messages.",
"author_name": "LTLA",
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"headline": "Bumped dependencies.",
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"oid": "7ac95138475ea042b087e8fbbfafc006bc6d7c29",
"body": null,
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"headline": "Avoid unnecessary copying during parallelized multiply.",
"author_name": "LTLA",
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"oid": "f869614019048f84008c18df364b41ebbf2303dd",
"body": "The requirements inherited from libscran don't really apply here, as the\npartitioning of jobs into workers is already performed by the parallel\nmatrix class; the macro function only needs to launch the jobs.",
"is_bot": false,
"headline": "Simplified the custom parallelization macro requirements.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2022-07-28T16:55:39Z",
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{
"oid": "532ec891e32a9667c7a8f9e600d0aa5d2e7a1e19",
"body": "This allows users to control the number of threads in a RAII-compatible\nmanner. Admittedly, it doesn't really belong here, but short of Eigen\nitself adding a thread-scoping mechanism, this is the best we can do.",
"is_bot": false,
"headline": "Migrated EigenThreadScope from libscran.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2022-07-28T16:44:01Z",
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{
"oid": "a023a651a77aa261f86d723207e686b11dba73eb",
"body": "This ensures that the various coeff() calls inside the multiply methods\ndo not trigger reevaluation of arbitrarily complicated Eigen\nexpressions. Rather, they are evaluated once on input and then freely\naccessed. The exception is for any expressions that support data() -\ni.e., existing VectorXd objects or map/block views - which suggests that\nthe result is already in memory and can be accessed without extra work.",
"is_bot": false,
"headline": "Force realization of non-trivial RHS in parallel multiplication.",
"author_name": "LTLA",
"author_login": "LTLA",
"committed_at": "2022-07-28T16:10:25Z",
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{
"oid": "c0954d88906aad6184761a469a48f64fa2051c7d",
"body": "This migrates the parallelized sparse matrix from libscran, with some\r\nmodifications for fully templated data representations. It supports\r\nparallelization of sparse multiplication in both orientations relevant to Irlba\r\n(i.e., multiply() and adjoint_multiply()). It also supports parallelization\r\nwith schemes other than OpenMP, for use in environments where OpenMP is not\r\navailable. Of course, OpenMP itself is still supported with explicit num_threads.",
"is_bot": false,
"headline": "Support custom parallelization for sparse matrix multiplication. (#6)",
"author_name": "Aaron Lun",
"author_login": "LTLA",
"committed_at": "2022-07-28T05:52:03Z",
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"headline": "All run methods are now const.",
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{
"key": "issue_template",
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],
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{
"key": "governance",
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]
},
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"notes": [
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"code": "excluded_no_data",
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{
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]
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"key": "stewardship",
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"components": [
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{
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{
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"weight": 0.19,
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{
"key": "tests_present",
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{
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"key": "openssf_scorecard_ci_tests",
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],
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]
},
{
"key": "documentation",
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"notes": [],
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"inputs": {
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{
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{
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"key": "topics",
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]
}
],
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{
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{
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{
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"notes": [
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"components": [
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]
}
],
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"key": "ai_readiness",
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"weight": 0.04,
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"key": "ai_agent_context",
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"components": [
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],
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{
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{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "37 of 100 human commits state their intent (structured subject or explanatory body)",
"points": 19.7,
"status": "partial",
"details": [
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"code": "legible_history",
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}
],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"notes": [],
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"inputs": {
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"has_tests": true,
"lockfiles": [],
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"toolchain_manifests": [],
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"components": [
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"key": "one_command_bootstrap",
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"points": 0,
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},
{
"key": "automated_tests",
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{
"key": "static_type_checking",
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"detail": "C++ (statically typed)",
"points": 11,
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"code": "statically_typed_language",
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}
],
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{
"key": "reproducible_environment",
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"points": 0,
"status": "missed",
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{
"key": "demonstrated_agent_practice",
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"status": "missed",
"details": [
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"code": "no_agent_authored_commits",
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}
],
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{
"key": "automated_maintenance",
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"status": "missed",
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"code": "no_dependency_automation",
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],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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]
},
{
"key": "ai_code_legibility",
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"notes": [],
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"inputs": {
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"oversized_source_files": 0
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"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
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"status": "met",
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"code": "statically_typed_language",
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],
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{
"key": "manageable_file_sizes",
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"status": "met",
"details": [
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"code": "oversized_source_files",
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}
],
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]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
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],
"classification": {
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"artifacts": [],
"confidence": "none",
"host_extension": false,
"runs_as_process": false,
"consumed_by_code": false
},
"metrics_version": "2.3.1"
},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-08-03T05:19:02.618181Z",
"schema_version": "0.30.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/libscran/irlba.svg",
"full_name": "libscran/irlba",
"license_state": "standard",
"license_spdx": "MIT"
}
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 v2.3.1, схема v0.30.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика.
