Metadata-Version: 2.1
Name: kedro-datasets
Version: 1.5.2
Summary: Kedro-Datasets is where you can find all of Kedro's data connectors.
Author: Kedro
License: Apache Software License (Apache 2.0)
Project-URL: Source, https://github.com/kedro-org/kedro-plugins/tree/main/kedro-datasets
Project-URL: Documentation, https://docs.kedro.org
Project-URL: Tracker, https://github.com/kedro-org/kedro-plugins/issues
Requires-Python: <3.11,>=3.7
Description-Content-Type: text/markdown
Provides-Extra: hdfs-base
Provides-Extra: pandas-base
Provides-Extra: plotly-base
Provides-Extra: s3fs-base
Provides-Extra: spark-base
Provides-Extra: api
Provides-Extra: api.APIDataSet
Provides-Extra: biosequence
Provides-Extra: biosequence.BioSequenceDataSet
Provides-Extra: dask
Provides-Extra: dask.ParquetDataSet
Provides-Extra: databricks
Provides-Extra: databricks.ManagedTableDataSet
Provides-Extra: geopandas
Provides-Extra: geopandas.GeoJSONDataSet
Provides-Extra: holoviews
Provides-Extra: holoviews.HoloviewsWriter
Provides-Extra: matplotlib
Provides-Extra: matplotlib.MatplotlibWriter
Provides-Extra: networkx
Provides-Extra: networkx.NetworkXDataSet
Provides-Extra: pandas
Provides-Extra: pandas.CSVDataSet
Provides-Extra: pandas.ExcelDataSet
Provides-Extra: pandas.DeltaTableDataSet
Provides-Extra: pandas.FeatherDataSet
Provides-Extra: pandas.GenericDataSet
Provides-Extra: pandas.GBQTableDataSet
Provides-Extra: pandas.GBQQueryDataSet
Provides-Extra: pandas.HDFDataSet
Provides-Extra: pandas.JSONDataSet
Provides-Extra: pandas.ParquetDataSet
Provides-Extra: pandas.SQLTableDataSet
Provides-Extra: pandas.SQLQueryDataSet
Provides-Extra: pandas.XMLDataSet
Provides-Extra: pickle
Provides-Extra: pickle.PickleDataSet
Provides-Extra: pillow
Provides-Extra: pillow.ImageDataSet
Provides-Extra: plotly
Provides-Extra: plotly.JSONDataSet
Provides-Extra: plotly.PlotlyDataSet
Provides-Extra: polars
Provides-Extra: polars.CSVDataSet
Provides-Extra: redis
Provides-Extra: redis.PickleDataSet
Provides-Extra: snowflake
Provides-Extra: snowflake.SnowparkTableDataSet
Provides-Extra: spark
Provides-Extra: spark.DeltaTableDataSet
Provides-Extra: spark.SparkDataSet
Provides-Extra: spark.SparkHiveDataSet
Provides-Extra: spark.SparkJDBCDataSet
Provides-Extra: svmlight
Provides-Extra: svmlight.SVMLightDataSet
Provides-Extra: tensorflow
Provides-Extra: tensorflow.TensorFlowModelDataSet
Provides-Extra: video
Provides-Extra: video.VideoDataSet
Provides-Extra: yaml
Provides-Extra: yaml.YAMLDataSet
Provides-Extra: all
Provides-Extra: docs
Provides-Extra: test

# Kedro-Datasets

[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://opensource.org/licenses/Apache-2.0)
[![Python Version](https://img.shields.io/badge/python-3.7%20%7C%203.8%20%7C%203.9%20%7C%203.10-blue.svg)](https://pypi.org/project/kedro-datasets/)
[![PyPI Version](https://badge.fury.io/py/kedro-datasets.svg)](https://pypi.org/project/kedro-datasets/)
[![Code Style: Black](https://img.shields.io/badge/code%20style-black-black.svg)](https://github.com/ambv/black)

A Kedro plugin that powers Kedro's DataCatalog.

## Installation

`kedro-datasets` is a Python plugin. To install it:

```bash
pip install kedro-datasets
```

# Datasets

Welcome to `kedro_datasets`, the home of Kedro's data connectors. Here you will find `AbstractDataSet` implementations created by QuantumBlack and external contributors.

## What `AbstractDataSet` implementations are supported?

We support a range of data connectors, including CSV, Excel, Parquet, Feather, HDF5, JSON, Pickle, SQL Tables, SQL Queries, Spark DataFrames and more. We even allow support for working with images.

These data connectors are supported with the APIs of `pandas`, `spark`, `networkx`, `matplotlib`, `yaml` and more.

[The Data Catalog](https://kedro.readthedocs.io/en/stable/data/data_catalog.html) allows you to work with a range of file formats on local file systems, network file systems, cloud object stores, and Hadoop.

Here is a full list of [supported data connectors and APIs](https://docs.kedro.org/en/stable/kedro_datasets.html).

## How can I create my own `AbstractDataSet` implementation?


Take a look at our [instructions on how to create your own `AbstractDataSet` implementation](https://kedro.readthedocs.io/en/stable/extend_kedro/custom_datasets.html).
