{"library":"kedro-datasets","type":"library","category":null,"description":"Kedro-Datasets provides a comprehensive collection of data connectors for Kedro projects, enabling seamless interaction with various data sources and formats like CSV, Parquet, Spark, and cloud storage. It's an active library, typically releasing new features and updates monthly or bi-monthly, ensuring compatibility with the latest data technologies.","language":"python","status":"active","version":"9.3.0","tags":["data engineering","etl","data catalog","mlops","data connector","data pipeline","pandas","spark"],"last_verified":"Fri May 22","install":[{"cmd":"pip install kedro-datasets","imports":["from kedro_datasets.pandas import CSVDataset","from kedro_datasets.spark import SparkDataset","from kedro_datasets.matplotlib import MatplotlibDataset"]},{"cmd":"pip install kedro-datasets[all]","imports":[]},{"cmd":"pip install kedro-datasets[pandas,spark,s3]","imports":[]}],"homepage":"https://kedro.readthedocs.io/en/stable/kedro_datasets.html","github":"https://github.com/kedro-org/kedro-plugins","docs":"https://docs.kedro.org","changelog":null,"pypi":"https://pypi.org/project/kedro-datasets/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":{"summary":{"python_range":"3.10–3.9","success_rate":50,"avg_install_s":33.8,"avg_import_s":3.01,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kedro-datasets/compatibility"}}