{"categories":[{"label":"Database","url":"https://skillfed.io/packages/category/database/2"}],"enrichment":{"capability":"Kedro-Datasets provides data connectors for Kedro's DataCatalog, implementing AbstractDataset for formats like CSV, Excel, Parquet, JSON, SQL, and Spark DataFrames across local, network, and cloud storage.","skillfed_tags":["data-pipeline","kedro-plugin","multi-format"],"use_cases":["Load CSV or Parquet files into pandas DataFrames within a Kedro pipeline without writing custom dataset code.","Read and write Spark DataFrames to cloud object stores (S3, GCS) through Kedro's DataCatalog.","Query SQL databases and cache results as datasets in a reproducible data pipeline.","Work with multiple data formats (Excel, JSON, HDF5) in a single Kedro project with consistent APIs.","Extend Kedro pipelines to handle image data or custom formats by implementing your own AbstractDataset."],"what_it_does":"Kedro-Datasets is a plugin that extends Kedro's DataCatalog with a collection of AbstractDataset implementations, allowing you to read and write data in many formats (CSV, Excel, Parquet, JSON, HDF5, SQL, Spark, images, and more) across different storage backends (local, network, cloud object stores, Hadoop). It's organized into groups by data type\u2014pandas, spark, networkx, matplotlib, yaml\u2014so you can install only the dependencies you need for your specific workflow.\n\nThe package acts as a bridge between Kedro's data abstraction layer and the actual storage and format libraries. Instead of writing custom dataset classes for each file type and storage combination, you declare your data sources in Kedro's configuration and let kedro-datasets handle the loading and saving. It supports optional group-level and dataset-level dependency installation, so a project using only CSV files doesn't need Spark or database drivers.","worth_installing":"Yes. Kedro-Datasets is actively maintained, has low install friction, carries no known vulnerabilities, and is essential if you're using Kedro for data pipelines. It provides the standard data connectors most projects need and is permissively licensed. Install it as part of your Kedro setup and add optional group dependencies only for the formats your pipeline actually uses."},"id":"kedro-datasets","links":{"html":"https://skillfed.io/packages/kedro-datasets","md":"https://skillfed.io/packages/kedro-datasets.md","pypi":"https://pypi.org/project/kedro-datasets/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-07","license_spdx":null,"license_treatment":"permissive","name":"kedro-datasets","python_support":"supports_current","summary":"Kedro-Datasets is where you can find all of Kedro's data connectors."},"popularity":{"monthly_downloads":1814647,"position":3524,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"9.6.0"}