{"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"],"install":[{"cmd":"pip install kedro-datasets","imports":["from kedro_datasets.pandas.csv_dataset import CSVDataset"]},{"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":34.6,"avg_import_s":2.97,"wheel_type":"sdist"},"url":"https://checklist.day/v1/registry/kedro-datasets/compatibility"},"provenance":{"verified_status":"import_fail","verified_at":"Fri Jul 03","last_verified":"Fri Jul 03","next_check":"Fri Jul 10","install_tag":null}}