{
  "name": "Kedro",
  "slug": "kedro",
  "pricingModel": "free",
  "normalized": {
    "currency": "USD",
    "entry": null,
    "plans": [
      {
        "plan": "Open Source",
        "perMonth": 0,
        "unit": "unknown",
        "unitNoun": null,
        "billing": "unknown",
        "free": true,
        "contactSales": false
      }
    ],
    "hasFreePlan": true,
    "hasFreeTrial": false,
    "contactSalesOnly": false
  },
  "pricingDetails": {
    "tiers": [
      {
        "name": "Open Source",
        "price": "Free",
        "features": [
          "Clean Code",
          "Handles Complexity",
          "Standardisation",
          "Production-Ready",
          "Pipeline Visualisation (Kedro-Viz)",
          "Data Catalog",
          "Integrations (Amazon SageMaker, Apache Airflow, Apache Spark, Azure ML, Dask, Databricks, Docker, fsspec, Jupyter Notebook, Kubeflow, Matplotlib, MLflow, Plotly, Pandas, VertexAI)",
          "Project Template",
          "Dedicated IDE support (VS Code)",
          "Pipeline Abstraction",
          "Coding Standards",
          "Flexible Deployment (Argo, Prefect, Kubeflow, AWS Batch, AWS Sagemaker, Databricks, Dask)"
        ],
        "isPopular": false,
        "priceMonthly": 0
      }
    ],
    "currency": "USD",
    "hasFreeTier": true,
    "hasFreeTrial": false,
    "billingCycles": []
  },
  "costFacts": null,
  "pricesByRegion": null,
  "verdict": "Kedro's pricing is exceptionally generous as it is entirely free, offering a robust set of features for building production-ready data pipelines. This makes it an incredibly fair and accessible option compared to proprietary solutions. It is best for data scientists and engineers looking for a powerful, open-source framework without any financial commitment.",
  "bestFor": "Data scientists & engineers | Teams needing robust pipelines | Users seeking open-source flexibility",
  "hiddenCosts": [],
  "recentChanges": [],
  "priceHistory": [],
  "partnerLink": false,
  "correction": "This price may be out of date. If the vendor's page differs, call report_issue with evidence_url and quote, or verify_price.",
  "provenance": {
    "lastVerifiedAt": "2026-10-07",
    "sourceUrl": "https://kedro.org/#pricing",
    "confidence": "medium"
  },
  "source": "Toolradar",
  "citation": "Toolradar, verified 2026-10-07, https://toolradar.com/tools/kedro/pricing",
  "affiliateUrl": "https://toolradar.com/api/go/kedro?ref=mcp&key=json",
  "toolradarUrl": "https://toolradar.com/tools/kedro/pricing"
}