skrub-data/skrub

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119 of your 142 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

Scan timing: clone 2.68s · analysis 9.78s · 8.7 MB · GitHub API rate-limit (preflight)

https://github.com/skrub-data/skrub · scanned 2026-06-05 14:27 UTC (5 days, 5 hours ago) · 10 languages

387 raw signals (139 security + 248 graph) 80th percentile · Python · medium (20-100K LoC) System graph score 92 (lower by 13)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 5 days, 5 hours ago · v2 · 161 actionable findings from 2 signal sources. 102 repeated signals grouped for readability. Security checks, system graph analysis, and verified AI-agent feedback are merged into one review queue.

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88.9% cov · 103 findings

Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	60.0	0.15	9.00
`security_score`	95.2	0.25	23.80
`testing_score`	97.0	0.20	19.40
`documentation_score`	81.0	0.15	12.15
`practices_score`	70.0	0.15	10.50
`code_quality`	43.1	0.10	4.31
Overall		1.00	79.2

Severity distribution — click a segment to filter

Active filters: excluding tests × Reset all

Severity: Critical 2 High 8 Medium 5 Low 69 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Security checks 58 System graph 103 Crowd 0 Layer: Software 53 Security 4 Quality 95 Cicd 5 Api 1 Frontend 3

Exclude dismissed / FP Exclude test files

All 2610 nodes from the latest scan, grouped by kind. Each node is a unit the engine identified (file, function, endpoint, table…). Most users won't need this view — it's primarily for debugging the engine's graph extraction or for AI agents that want to enumerate the project structure.

Label	Layer	Status	Path
`cast_column_names_to_strings`	software	healthy	`skrub/_check_input.py:15`
`_column_names_to_strings`	software	healthy	`skrub/_check_input.py:21`
`_deduplicated_column_names`	software	healthy	`skrub/_check_input.py:33`
`_cleaned_column_names`	software	healthy	`skrub/_check_input.py:44`
`_check_not_pandas_sparse`	software	healthy	`skrub/_check_input.py:49`
`_check_not_pandas_sparse_pandas`	software	healthy	`skrub/_check_input.py:54`
`_check_is_dataframe`	software	healthy	`skrub/_check_input.py:66`
`fit`	software	healthy	`skrub/_check_input.py:108`
`fit_transform`	software	healthy	`skrub/_check_input.py:112`
`transform`	software	healthy	`skrub/_check_input.py:128`
`_handle_array`	software	healthy	`skrub/_check_input.py:155`
`get_feature_names_out`	software	healthy	`skrub/_check_input.py:171`
`__init__`	software	healthy	`skrub/_apply_to_sub_frame.py:133`
`fit`	software	healthy	`skrub/_apply_to_sub_frame.py:145`
`fit_transform`	software	healthy	`skrub/_apply_to_sub_frame.py:168`
`transform`	software	healthy	`skrub/_apply_to_sub_frame.py:228`
`get_feature_names_out`	software	healthy	`skrub/_apply_to_sub_frame.py:267`
`__init__`	software	healthy	`skrub/_matching.py:196`
`fit`	software	healthy	`skrub/_matching.py:109`
`match`	software	healthy	`skrub/_matching.py:34`
`_get_reference_distances`	software	healthy	`skrub/_matching.py:200`
`_rescale_distances`	software	healthy	`skrub/_matching.py:53`
`_sample_pairs`	software	healthy	`skrub/_matching.py:65`
`_check_inputs`	software	healthy	`skrub/_matching.py:128`
`__init__`	software	healthy	`skrub/_minhash_encoder.py:118`
`_get_murmur_hash`	software	healthy	`skrub/_minhash_encoder.py:133`
`_get_fast_hash`	software	healthy	`skrub/_minhash_encoder.py:161`
`_compute_hash_batched`	software	healthy	`skrub/_minhash_encoder.py:191`
`fit`	software	healthy	`skrub/_minhash_encoder.py:216`
`transform`	software	healthy	`skrub/_minhash_encoder.py:257`
`get_feature_names_out`	software	healthy	`skrub/_minhash_encoder.py:301`
`_example_data_dict`	software	healthy	`skrub/conftest.py:13`
`_pl_from_dict`	software	healthy	`skrub/conftest.py:119`
`all_dataframe_modules`	software	healthy	`skrub/conftest.py:163`
`pd_module`	software	healthy	`skrub/conftest.py:168`
`pl_module`	software	healthy	`skrub/conftest.py:173`
`df_module`	software	healthy	`skrub/conftest.py:181`
`example_data_dict`	software	healthy	`skrub/conftest.py:230`
`use_fit_transform`	software	healthy	`skrub/conftest.py:235`
`reset_config_to_base`	software	healthy	`skrub/conftest.py:254`
`__init__`	software	healthy	`skrub/_apply_to_cols.py:294`
`fit`	software	healthy	`skrub/_apply_to_cols.py:313`
`fit_transform`	software	healthy	`skrub/_apply_to_cols.py:336`
`transform`	software	healthy	`skrub/_apply_to_cols.py:396`
`get_feature_names_out`	software	healthy	`skrub/_apply_to_cols.py:417`
`__getattr__`	software	healthy	`skrub/_apply_to_cols.py:434`
`__init__`	software	healthy	`skrub/_utils.py:21`
`__getitem__`	software	healthy	`skrub/_utils.py:25`
`__setitem__`	software	healthy	`skrub/_utils.py:33`
`__contains__`	software	healthy	`skrub/_utils.py:41`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`.pre-commit-config.yaml`	software	healthy	`.pre-commit-config.yaml`
`pyproject.toml`	software	healthy	`pyproject.toml`
`CODE_OF_CONDUCT.md`	software	healthy	`CODE_OF_CONDUCT.md`
`codecov.yml`	software	healthy	`codecov.yml`
`_check_input.py`	software	healthy	`skrub/_check_input.py`
`_apply_to_sub_frame.py`	software	healthy	`skrub/_apply_to_sub_frame.py`
`_matching.py`	software	healthy	`skrub/_matching.py`
`_minhash_encoder.py`	software	healthy	`skrub/_minhash_encoder.py`
`__init__.py`	software	healthy	`skrub/__init__.py`
`conftest.py`	software	healthy	`skrub/conftest.py`
`_apply_to_cols.py`	software	healthy	`skrub/_apply_to_cols.py`
`_utils.py`	software	healthy	`skrub/_utils.py`
`_string_encoder.py`	software	healthy	`skrub/_string_encoder.py`
`_drop_uninformative.py`	software	healthy	`skrub/_drop_uninformative.py`
`_tabular_pipeline.py`	software	healthy	`skrub/_tabular_pipeline.py`
`_scaling_factor.py`	software	healthy	`skrub/_scaling_factor.py`
`_single_column_transformer.py`	software	healthy	`skrub/_single_column_transformer.py`
`_select_cols.py`	software	healthy	`skrub/_select_cols.py`
`_fuzzy_join.py`	software	healthy	`skrub/_fuzzy_join.py`
`_config.py`	software	healthy	`skrub/_config.py`
`_multi_agg_joiner.py`	software	healthy	`skrub/_multi_agg_joiner.py`
`_to_str.py`	software	healthy	`skrub/_to_str.py`
`_to_datetime.py`	software	healthy	`skrub/_to_datetime.py`
`_clean_categories.py`	software	healthy	`skrub/_clean_categories.py`
`_table_vectorizer.py`	software	healthy	`skrub/_table_vectorizer.py`
`_duration_to_float.py`	software	healthy	`skrub/_duration_to_float.py`
`_similarity_encoder.py`	software	healthy	`skrub/_similarity_encoder.py`
`_fast_hash.py`	software	healthy	`skrub/_fast_hash.py`
`_apply_to_each_col.py`	software	healthy	`skrub/_apply_to_each_col.py`
`_datetime_encoder.py`	software	healthy	`skrub/_datetime_encoder.py`
`_deduplicate.py`	software	healthy	`skrub/_deduplicate.py`
`_dispatch.py`	software	healthy	`skrub/_dispatch.py`
`_string_distances.py`	software	healthy	`skrub/_string_distances.py`
`core.py`	software	warning	`skrub/core.py`
`_to_categorical.py`	software	healthy	`skrub/_to_categorical.py`
`_clean_null_strings.py`	software	healthy	`skrub/_clean_null_strings.py`
`_sklearn_compat.py`	software	healthy	`skrub/_sklearn_compat.py`
`_gap_encoder.py`	software	healthy	`skrub/_gap_encoder.py`
`_wrap_transformer.py`	software	healthy	`skrub/_wrap_transformer.py`
`_column_associations.py`	software	healthy	`skrub/_column_associations.py`
`_join_utils.py`	software	healthy	`skrub/_join_utils.py`
`_to_float.py`	software	healthy	`skrub/_to_float.py`
`_squashing_scaler.py`	software	healthy	`skrub/_squashing_scaler.py`
`_agg_joiner.py`	software	healthy	`skrub/_agg_joiner.py`
`_interpolation_joiner.py`	software	healthy	`skrub/_interpolation_joiner.py`
`_text_encoder.py`	software	healthy	`skrub/_text_encoder.py`
`_joiner.py`	software	healthy	`skrub/_joiner.py`
`__init__.py`	software	healthy	`skrub/datasets/__init__.py`
`_utils.py`	software	healthy	`skrub/datasets/_utils.py`
`_fetching.py`	software	healthy	`skrub/datasets/_fetching.py`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`CheckInputDataFrame`	software	healthy	`skrub/_check_input.py:75`
`ApplyToSubFrame`	software	healthy	`skrub/_apply_to_sub_frame.py:14`
`Matching`	software	healthy	`skrub/_matching.py:8`
`RandomPairs`	software	healthy	`skrub/_matching.py:78`
`SelfJoinNeighbor`	software	healthy	`skrub/_matching.py:140`
`OtherNeighbor`	software	healthy	`skrub/_matching.py:177`
`MinHashEncoder`	software	healthy	`skrub/_minhash_encoder.py:23`
`ApplyToCols`	software	healthy	`skrub/_apply_to_cols.py:16`
`LRUDict`	software	healthy	`skrub/_utils.py:15`
`Repr`	software	healthy	`skrub/_utils.py:142`
`_ShortRepr`	software	healthy	`skrub/_utils.py:175`
`PassThrough`	software	healthy	`skrub/_utils.py:261`
`StringEncoder`	software	healthy	`skrub/_string_encoder.py:19`
`DropUninformative`	software	healthy	`skrub/_drop_uninformative.py:12`
`RejectColumn`	software	healthy	`skrub/_single_column_transformer.py:38`
`SingleColumnTransformer`	software	healthy	`skrub/_single_column_transformer.py:123`
`SelectCols`	software	healthy	`skrub/_select_cols.py:7`
`DropCols`	software	healthy	`skrub/_select_cols.py:102`
`Drop`	software	healthy	`skrub/_select_cols.py:199`
`MultiAggJoiner`	software	healthy	`skrub/_multi_agg_joiner.py:20`
`ToStr`	software	healthy	`skrub/_to_str.py:7`
`ToDatetime`	software	healthy	`skrub/_to_datetime.py:85`
`CleanCategories`	software	healthy	`skrub/_clean_categories.py:38`
`PassThrough`	software	healthy	`skrub/_table_vectorizer.py:33`
`ShortReprDict`	software	healthy	`skrub/_table_vectorizer.py:52`
`Cleaner`	software	healthy	`skrub/_table_vectorizer.py:184`
`TableVectorizer`	software	healthy	`skrub/_table_vectorizer.py:542`
`DurationToFloat`	software	healthy	`skrub/_duration_to_float.py:25`
`SimilarityEncoder`	software	healthy	`skrub/_similarity_encoder.py:133`
`ApplyToEachCol`	software	healthy	`skrub/_apply_to_each_col.py:18`
`DatetimeEncoder`	software	healthy	`skrub/_datetime_encoder.py:100`
`_BasePeriodicEncoder`	software	healthy	`skrub/_datetime_encoder.py:522`
`_SplineEncoder`	software	healthy	`skrub/_datetime_encoder.py:557`
`_CircularEncoder`	software	healthy	`skrub/_datetime_encoder.py:647`
`DataFrameModuleInfo`	software	healthy	`skrub/_dispatch.py:142`
`ToCategorical`	software	healthy	`skrub/_to_categorical.py:7`
`CleanNullStrings`	software	healthy	`skrub/_clean_null_strings.py:52`
`ParamsValidationMixin`	software	healthy	`skrub/_sklearn_compat.py:30`
`InputTags`	software	healthy	`skrub/_sklearn_compat.py:274`
`TargetTags`	software	healthy	`skrub/_sklearn_compat.py:334`
`TransformerTags`	software	healthy	`skrub/_sklearn_compat.py:372`
`ClassifierTags`	software	healthy	`skrub/_sklearn_compat.py:391`
`RegressorTags`	software	healthy	`skrub/_sklearn_compat.py:418`
`Tags`	software	healthy	`skrub/_sklearn_compat.py:439`
`GapEncoder`	software	healthy	`skrub/_gap_encoder.py:26`
`ToFloat`	software	healthy	`skrub/_to_float.py:7`
`_MinMaxScaler`	software	healthy	`skrub/_squashing_scaler.py:54`
`SquashingScaler`	software	healthy	`skrub/_squashing_scaler.py:85`
`AggJoiner`	software	healthy	`skrub/_agg_joiner.py:171`
`AggTarget`	software	healthy	`skrub/_agg_joiner.py:396`

Showing first 50 of this kind. Full payload available via the JSON button at the top of the page.

Label	Layer	Status	Path
`skrub`	software	healthy	`skrub`
`datasets`	software	healthy	`skrub/datasets`
`tests`	software	healthy	`skrub/datasets/tests`
`_reporting`	software	healthy	`skrub/_reporting`
`tests`	software	healthy	`skrub/_reporting/tests`
`js_tests`	software	healthy	`skrub/_reporting/js_tests`
`cypress`	software	healthy	`skrub/_reporting/js_tests/cypress`
`fixtures`	software	healthy	`skrub/_reporting/js_tests/cypress/fixtures`
`support`	software	healthy	`skrub/_reporting/js_tests/cypress/support`
`e2e`	software	healthy	`skrub/_reporting/js_tests/cypress/e2e`
`_data`	software	healthy	`skrub/_reporting/_data`
`templates`	software	healthy	`skrub/_reporting/_data/templates`
`pure-3.0.0`	software	healthy	`skrub/_reporting/_data/templates/pure-3.0.0`
`icons`	software	healthy	`skrub/_reporting/_data/templates/icons`
`data_ops`	software	healthy	`skrub/_reporting/_data/templates/data_ops`
`tests`	software	healthy	`skrub/tests`
`_data_ops`	software	healthy	`skrub/_data_ops`
`tests`	software	healthy	`skrub/_data_ops/tests`
`selectors`	software	healthy	`skrub/selectors`
`tests`	software	healthy	`skrub/selectors/tests`
`_dataframe`	software	healthy	`skrub/_dataframe`
`tests`	software	healthy	`skrub/_dataframe/tests`
`.circleci`	software	healthy	`.circleci`
`build_tools`	software	healthy	`build_tools`
`circle`	software	healthy	`build_tools/circle`
`doc`	software	healthy	`doc`
`binder`	software	healthy	`doc/binder`
`sphinxext`	software	healthy	`doc/sphinxext`
`_templates`	software	healthy	`doc/_templates`
`_static`	software	healthy	`doc/_static`
`scripts`	software	healthy	`doc/_static/scripts`
`css`	software	healthy	`doc/_static/css`
`tutorials`	software	healthy	`doc/tutorials`
`examples`	software	healthy	`examples`
`FIXME`	software	healthy	`examples/FIXME`
`data_ops`	software	healthy	`examples/data_ops`
`.github`	software	healthy	`.github`
`ISSUE_TEMPLATE`	software	healthy	`.github/ISSUE_TEMPLATE`
`PULL_REQUEST_TEMPLATE`	software	healthy	`.github/PULL_REQUEST_TEMPLATE`
`workflows`	software	healthy	`.github/workflows`

Label	Layer	Status	Path
`test`	cicd	healthy	`.github/workflows/testing.yml`
`check_run_nightly`	cicd	healthy	`.github/workflows/testing.yml`
`test_against_nightly`	cicd	healthy	`.github/workflows/testing.yml`
`welcome`	cicd	healthy	`.github/workflows/welcome_action.yaml`
`check`	cicd	healthy	`.github/workflows/changelog.yml`
`test`	cicd	healthy	`.github/workflows/test-javascript.yml`
`circleci_artifacts_redirector_job`	cicd	healthy	`.github/workflows/main.yml`
`run-pre-commit-checks`	cicd	healthy	`.github/workflows/run-code-format-checks.yaml`
`update_lock_files`	cicd	healthy	`.github/workflows/update_pixi_lock_files.yml`
`check-pyi-diff`	cicd	healthy	`.github/workflows/check_stub_files_diff.yaml`

Label	Layer	Status	Path
`gha::testing`	cicd	healthy	`.github/workflows/testing.yml`
`gha::welcome_action`	cicd	healthy	`.github/workflows/welcome_action.yaml`
`gha::changelog`	cicd	healthy	`.github/workflows/changelog.yml`
`gha::test-javascript`	cicd	healthy	`.github/workflows/test-javascript.yml`
`gha::main`	cicd	healthy	`.github/workflows/main.yml`
`gha::run-code-format-checks`	cicd	healthy	`.github/workflows/run-code-format-checks.yaml`
`gha::update_pixi_lock_files`	cicd	healthy	`.github/workflows/update_pixi_lock_files.yml`
`gha::check_stub_files_diff`	cicd	healthy	`.github/workflows/check_stub_files_diff.yaml`
`circleci`	cicd	healthy	`.circleci/config.yml`

Label	Layer	Status	Path
`BOT_GITHUB_TOKEN`	cicd	healthy	`—`
`CODECOV_TOKEN`	cicd	healthy	`—`
`CIRCLE_CI`	cicd	healthy	`—`
`GITHUB_TOKEN`	cicd	healthy	`—`

Label	Layer	Status	Path
`repobility-clone-xj89mdeu`	software	healthy	`/tmp/repobility-clone-xj89mdeu`

Label	Layer	Status	Path
`sqlite`	data	healthy	`skrub/_data_ops/_skrub_namespace.py`

Label	Layer	Status	Path
`gpu (detected)`	hardware	healthy	`skrub/_text_encoder.py`

Label	Layer	Status	Path
`vps::aws`	hardware	healthy	`skrub/_reporting/js_tests/package-lock.json`

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skrub-data/skrub

Complete repo analysis

function 50+

file 50+

class 50+

directory 40

job 10

pipeline 9

env_var 4

repo 1

database 1

gpu 1

vps 1