ludwig-ai / ludwig

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Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 22 direkte und 10 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem

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          "body": "…ed data\n\nPrevents OOM on image datasets (e.g. rendered_sst2) where streaming\n40k images into a large shuffle buffer exhausted all available RAM.\nSequential sampling from skip position is sufficient for diversity.\n\nAlso marks intentionally-deleted dataset configs as skipped in results.",
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          "headline": "fix(datasets/smoke-test): use buffer=1 for diversity-retry skip-sampl…",
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          "body": "…t outputs\n\nNatural Questions rows are ~1MB each; a 10k buffer wastes 10GB RAM.\nText/number output datasets have no minimum-diversity requirement, so\na 2k shuffle buffer is sufficient while keeping memory usage bounded.",
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          "headline": "fix(datasets/smoke-test): reduce default shuffle buffer to 2k for tex…",
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          "is_bot": false,
          "headline": "fix(datasets/smoke-test): smart shuffle buffer — large only for class…",
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          "body": "Audio and image datasets stream large files — use a 5k buffer to avoid\nstreaming 100k large files. Text datasets use 100k buffer to ensure\nlabel diversity in sorted classification datasets (dbpedia_14, imdb, etc).",
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          "is_bot": false,
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          "body": "…on Contest datasets\n\n- ESC-50: audio classification (2,000 WAV clips, 50 classes, 5 folds)\n  via direct GitHub archive download; category output feature\n- WikiANN: English NER (IOB2 tags) via HuggingFace; sequence output feature\n- GoEmotions: Reddit multi-label emotion classification (28 classes) v\n[…]\nPIL images saved to disk with caching\n\nHFLoader converts list/numpy array columns to pandas object dtype after\nto_pandas(); all three HF loaders handle numpy.ndarray inputs in their\ntransform methods.",
          "is_bot": false,
          "headline": "feat(datasets): add ESC-50, WikiANN, GoEmotions, and New Yorker Capti…",
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          "body": "…fixes (#4169)",
          "is_bot": false,
          "headline": "fix(automl): dataset-aware sampling, transformer LR cap, SearchSpace …",
          "author_name": "Piero Molino",
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          "body": "…o prevent OOM\n\ncross_attention and perceiver combiners scale quadratically with the number of\ninput features. With 90+ features and batch_size=512, these exceed VRAM on\nconsumer GPUs (10–24 GiB). Add CombinerSpec.max_batch_size (mirrors the existing\nmax_learning_rate pattern) and default it to 256 for cross_attention and perceiver.",
          "is_bot": false,
          "headline": "fix(automl): cap batch size for cross_attention/perceiver combiners t…",
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          "headline": "fix(automl): use SearchSpace._from_specs() to build size-aware search…",
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          "headline": "fix(automl): pass default_epochs to TrainerSpec in configs_from_dataf…",
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          "headline": "fix(automl): fix import in configs_from_dataframe — use _build_defaul…",
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          "is_bot": false,
          "headline": "feat(automl): dataset-size-aware epoch and batch_size caps in configs…",
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          "is_bot": false,
          "headline": "revert: remove tabpfn optional-dep workaround — tabpfn is now installed",
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          "headline": "fix: reject tabpfn_v2 configs when tabpfn package is not installed",
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          "body": "…, dataset quality (#4168)",
          "is_bot": false,
          "headline": "feat: Mega-AutoML infrastructure — YAML search space, config pipeline…",
          "author_name": "Piero Molino",
          "author_login": "w4nderlust",
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          "body": "…ng (#4159)",
          "is_bot": false,
          "headline": "refactor: remove stale duplicate text/encoders.py; flatten deep nesti…",
          "author_name": "Piero Molino",
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          "oid": "4670d753cf915964466282baf609212b069c91d8",
          "body": "…package (#4154)",
          "is_bot": false,
          "headline": "refactor: split 4144-line visualize.py into domain-scoped visualize/ …",
          "author_name": "Piero Molino",
          "author_login": "w4nderlust",
          "committed_at": "2026-05-11T03:25:18Z",
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          "is_bot": false,
          "headline": "Release v0.16.2",
          "author_name": "w4nderlust",
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          "committed_at": "2026-05-08T07:50:14Z",
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          "is_bot": false,
          "headline": "fix: rewrite torch_utils tests to not fail in no-CUDA CI environments",
          "author_name": "w4nderlust",
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          "committed_at": "2026-05-08T06:47:12Z",
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          "body": "…_safe)",
          "is_bot": false,
          "headline": "fix: update test_serve_v2 to use numpy_to_python (renamed from _numpy…",
          "author_name": "w4nderlust",
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          "committed_at": "2026-05-08T05:57:50Z",
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          "oid": "aadb9ec4f862e7646f290d3907e8c79e64dd9b23",
          "body": "…in__.py for python -m ludwig.visualize",
          "is_bot": false,
          "headline": "fix: remove redundant dtype check in text_feature; add visualize __ma…",
          "author_name": "w4nderlust",
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          "oid": "32dc77cec24a967d23013717584dea0ad4d2203c",
          "body": "…tations, docstring fixes",
          "is_bot": false,
          "headline": "refactor: major api.py cleanup — guard clauses, extraction, type anno…",
          "author_name": "Piero Molino",
          "author_login": "w4nderlust",
          "committed_at": "2026-05-08T04:33:15Z",
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        {
          "oid": "686aa93225b3442215e4a2ad2b8bd81ac6eb578d",
          "body": "…st strategy\n\nTwo regression tests to prevent re-introduction of the bugs fixed in\nthe recent patch releases:\n\n1. tests/ludwig/utils/test_import_safety.py (#4142)\n   Simulates a broken torchao/PyTorch environment where transformers'\n   lazy loader raises ModuleNotFoundError for PreTrainedModel. Veri\n[…]\nr: Distributed strategy not\n   initialized. The existing category-output test missed this because\n   SoftmaxCrossEntropyMetric inherits MeanMetric and takes a shortcut\n   that bypasses sync_context().",
          "is_bot": false,
          "headline": "test: regression tests for transformers import safety and Ray tune di…",
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          "body": "…learning_rate_fn\n\nBoth Ray remote tuning functions run metric evaluation (train_step →\nupdate_metrics → eval_loss → TorchMetrics sync_context) without ever\ninitializing a distributed strategy. This caused:\n\n  RuntimeError: Distributed strategy not initialized\n\nin get_current_dist_strategy() inside \n[…]\nwhat train_fn and eval_fn already do: call\ninit_dist_strategy(\"local\") immediately after initialize_pytorch() so\nthe metric sync context is available for the duration of the tuning pass.\n\nFixes #4149.",
          "is_bot": false,
          "headline": "fix: call init_dist_strategy(\"local\") in tune_batch_size_fn and tune_…",
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          "headline": "Release v0.16.1",
          "author_name": "w4nderlust",
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          "oid": "322e51f2603dd1600a8d511cf596bbe99fc4d5a1",
          "body": "…CKING in llm_utils and text_feature\n\nOn Python 3.12, function annotations are evaluated eagerly at module load\ntime. When torchao and PyTorch are version-mismatched (torchao calls\ntorch.utils._pytree.register_constant which doesn't exist in older PyTorch\nbuilds), transformers' lazy loader for class\n[…]\ne them to\n  TYPE_CHECKING and add `from __future__ import annotations`.\n- text_feature.py: PreTrainedTokenizer was imported at module level but only\n  used in type annotations. Same fix.\n\nFixes #4142.",
          "is_bot": false,
          "headline": "fix: defer PreTrainedModel/PreTrainedTokenizer/AutoConfig to TYPE_CHE…",
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          "is_bot": false,
          "headline": "refactor: migrate from black+isort+flake8 to unified ruff toolchain",
          "author_name": "Piero Molino",
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          "oid": "868e40b17807fb5dfdd89aefc1d4e306bbbc04cb",
          "body": "… (#4152)",
          "is_bot": false,
          "headline": "fix: replace assert with explicit exceptions; fix mutable default arg…",
          "author_name": "Piero Molino",
          "author_login": "w4nderlust",
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          "headline": "Release v0.16.0",
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                "key": "openssf_scorecard_signed_releases",
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            "key": "abandonment",
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            "notes": [],
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              {
                "key": "watchers",
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                      "count": 183
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                "max_points": 15
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          },
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            "key": "community_health",
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            "note": null,
            "notes": [],
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              "readme_badges": null,
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                "key": "readme",
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                "key": "license",
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                "detail": "recognized license (Apache-2.0)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
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                  {
                    "code": "license_spdx",
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                "key": "contributing_guide",
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                "key": "issue_template",
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                "key": "pr_template",
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            "notes": [
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                "code": "excluded_no_data",
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              {
                "code": "weights_renormalized",
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            "value": 59,
            "inputs": {
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              "total_downloads": null,
              "monthly_downloads": 3413
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            "components": [
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                "max_points": 80
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              {
                "key": "registry_dependents",
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
        "value": 79,
        "weight": 0.23,
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            "note": null,
            "notes": [],
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                "key": "bus_factor",
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                "key": "openssf_scorecard_contributors",
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                "details": [],
                "max_points": 10
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            ]
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            "notes": [
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                "code": "excluded_no_data",
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            "components": [
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                "key": "issue_resolution",
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                "points": 42,
                "status": "partial",
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                    "code": "issues_closed_share",
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                "max_points": 42
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                "key": "pr_acceptance",
                "name": "PR acceptance",
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                "max_points": 30
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              {
                "key": "newcomer_pr_acceptance",
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                "key": "openssf_scorecard_code_review",
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          {
            "key": "stewardship",
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                "key": "verified_domain",
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                "key": "owner_reach",
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                "key": "track_record",
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            "key": "package_maintenance",
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            "inputs": {
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                "key": "version_history",
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                "key": "not_deprecated",
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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": "ci_workflows",
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                "key": "linter_config",
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                "key": "pre_commit_hooks",
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                "key": "openssf_scorecard_ci_tests",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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        "metrics": [
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            "key": "security_posture",
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              },
              {
                "code": "weights_renormalized",
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            "value": 64,
            "inputs": {
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                "key": "branch_protection",
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                "key": "ci_tests",
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              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
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                "key": "code_review",
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                "key": "contributors",
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                "max_points": 2.5
              },
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                "key": "dangerous_workflow",
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              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 9 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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "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": 5,
                "status": "met",
                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "exceptional",
            "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"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 8
            },
            "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",
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                  }
                ],
                "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": "moderate",
        "name": "AI Readiness",
        "value": 52,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
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            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.918,
              "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": "90 of 98 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 90,
                      "sampled": 98
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": true,
              "has_linter_config": true,
              "typecheck_configs": [
                "ludwig/py.typed"
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              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": ".flake8",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "ludwig/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "ludwig/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "devcontainer, Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "devcontainer, Dockerfile"
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                  }
                ],
                "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": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "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": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 107706,
              "source_files_sampled": 805,
              "oversized_source_files": 7
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (ludwig/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "ludwig/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "7/805 source files over 60KB",
                "points": 54.5,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 805,
                      "oversized": 7
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "weak",
            "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? 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)."
      }
    ],
    "classification": {
      "top": [
        "library"
      ],
      "labels": [
        "library"
      ],
      "scores": {
        "library": 8
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "description",
          "label": "library",
          "source": "description:library",
          "weight": 2
        }
      ],
      "artifacts": [],
      "confidence": "medium",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.5.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:ludwig@0.17.8; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-27T00:43:05.617223Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/ludwig-ai/ludwig.svg",
  "full_name": "ludwig-ai/ludwig",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}