{
    "schema": "lxkeys.world.entry@2.2.1",
    "language": "en",
    "entry": {
        "id": "ENT-00000702",
        "status": "published",
        "name": "MLflow",
        "aliases": [],
        "entity_type": "AI Framework",
        "classification": "AI / ML Framework",
        "creator": "Databricks",
        "organization": "Databricks",
        "origin_context": "ML infrastructure",
        "first_public_appearance": "2018",
        "current_status": "Active",
        "official_website": "https://mlflow.org/",
        "image": "uploads/entity-images/ENT-00000702.png",
        "short_description": "MLflow is a AI software framework associated with Databricks, classified in LXKeys.world as AI / ML Framework.",
        "public_description": "MLflow is documented as an AI developer platform or infrastructure component associated with Databricks. Its importance comes from platform for tracking, packaging and managing machine learning experiments and models. The record helps connect models, applications, agents and deployment environments inside the broader AI tooling layer.",
        "technical_description": "Structured LXKeys.world registry record for MLflow. Entity type: AI Framework; classification: AI / ML Framework; creator/organization context: Databricks. Canonical source anchor: https://mlflow.org/. The record tracks source authority, first public appearance, timeline, capabilities, limitations, registry status and graph relationships. Automatic refresh is limited to sources explicitly classified as OFFICIAL and enabled for updates; documentary and research references remain non-authoritative unless reviewed.",
        "capabilities": [
            "AI application development",
            "Model orchestration or deployment",
            "Tool and API integration",
            "Developer workflow support"
        ],
        "limitations": [
            "Capabilities depend on product version, integration context and access tier.",
            "Public behavior can change as the provider updates models, policies and interfaces."
        ],
        "timeline": [
            {
                "date": "2018",
                "title": "Initial public software release",
                "description": "MLflow entered the documented public record in 2018. This event is retained at the precision supported by the Entry’s reviewed source history.",
                "source_url": "https://mlflow.org/",
                "verification_status": "source_backed_official"
            }
        ],
        "sources": [
            {
                "label": "MLflow official reference",
                "url": "https://mlflow.org/",
                "source_type": "Official Documentation",
                "verification_status": "verified",
                "authority": "OFFICIAL",
                "role": "primary",
                "update_enabled": true,
                "authority_basis": "curated-corpus-refresh-2026-09-08"
            }
        ],
        "relationships": [
            {
                "target": "Databricks",
                "type": "Associated Organization",
                "description": "Databricks is the organization or ecosystem associated with MLflow.",
                "evidence_level": "documentary",
                "target_id": "ENT-00000070"
            }
        ],
        "tags": [
            "Databricks",
            "Developer Platform",
            "Research",
            "machine"
        ],
        "registry_status": "Documented",
        "created_at": "2026-06-16T23:59:02+00:00",
        "updated_at": "2026-09-08T04:55:00+00:00",
        "dypclt_created": "D-0 Y-2 P-3 C-3 L-21 T-3",
        "dypclt_updated": "D-0 Y-2 P-3 C-3 L-21 T-3",
        "temporal_index": {
            "start_date_utc": "2023-04-01",
            "created_utc": "2026-06-16T23:59:02+00:00",
            "created_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3",
            "updated_utc": "2026-06-16T23:59:02+00:00",
            "updated_dypclt": "D-0 Y-2 P-3 C-3 L-21 T-3"
        },
        "machine_readable_purpose": "Machine-readable registry record for MLflow: entity type, classification, sources, timeline, capabilities, limitations and graph relationships.",
        "schema_ready": true,
        "first_public_appearance_precision": "year",
        "first_public_appearance_verification": "preserved_from_source_record",
        "image_meta": {
            "path": "uploads/entity-images/ENT-00000702.png",
            "sha256": "265b33b467025ff4a74a54fd03c0311d1e563b0d031f9bba853324ddeedb95fb",
            "width": 512,
            "height": 512,
            "mime": "image/png",
            "provenance_status": "PROVENANCE_UNCONFIRMED",
            "review_status": "preserved_pending_official_verification",
            "legacy_provenance_status": "legacy_unverified",
            "source_type": "historical",
            "source_label": "LXKeys.world historical media corpus",
            "metadata_namespace": "urn:lxkeys:xmp:1.0",
            "metadata_embedded": true,
            "metadata_verified": true,
            "asset_id": "LXW-IMG-ENT-00000702-265B33B46702",
            "processing_id": "LXP-20260908-348590798D90",
            "processed_at_utc": "2026-09-08T18:00:00Z",
            "dypclt": "D-0 Y-2 P-4 C-4 L-33 T-6",
            "rights_holder": "",
            "rights_policy": "PROVENANCE_REVIEW_REQUIRED",
            "original_sha256": "265b33b467025ff4a74a54fd03c0311d1e563b0d031f9bba853324ddeedb95fb",
            "processed_sha256": "9b65407b2422ded6a0502fde20ab0f43b14f8e2459d755151d1852ded83c4d94"
        },
        "reviewed_at": "2026-09-08T04:55:00+00:00",
        "quality_status": "curated_official_first_baseline",
        "source_policy": "official_first_secondary_context_only",
        "quality_review": {
            "reviewed_at": "2026-09-08T04:55:00+00:00",
            "official_sources": 1,
            "trusted_primary_sources": 0,
            "secondary_sources": 0,
            "date_status": "preserved_from_source_record",
            "image_status": "legacy_unverified",
            "manual_followup_required": false,
            "review_scope": "official-first structural curation; records flagged for follow-up are not claimed as individually exhaustive fact-checks"
        },
        "dypclt_reviewed": "D-0 Y-2 P-4 C-4 L-33 T-6",
        "world_id": "ENT-00000702",
        "kind": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "documentation_status": "Documented",
        "facts": [],
        "canonical": [],
        "source_state": [],
        "i18n": {
            "en": [],
            "fr": []
        }
    },
    "computed": {
        "category": "Frameworks and Software",
        "type": "AI Framework",
        "subtype": "",
        "documentation_index": {
            "total": 74,
            "documentation": 25,
            "evidence": 13,
            "structure": 25,
            "relationships": 11,
            "level": "Level IV Connected"
        },
        "is_lxkeys_entity": false,
        "graph_endpoint": "graph.php?center=ENT-00000702&depth=1"
    }
}