Metadata-Version: 2.1
Name: kedro-datasets
Version: 1.0.0
Summary: Kedro-Datasets is where you can find all of Kedro's data connectors.
Home-page: https://github.com/kedro-org/kedro-plugins/tree/main/kedro-datasets
Author: Kedro
License: Apache Software License (Apache 2.0)
Requires-Python: >=3.7, <3.11
Description-Content-Type: text/markdown
Provides-Extra: api
Provides-Extra: biosequence
Provides-Extra: dask
Provides-Extra: docs
Provides-Extra: geopandas
Provides-Extra: matplotlib
Provides-Extra: holoviews
Provides-Extra: networkx
Provides-Extra: pandas
Provides-Extra: pillow
Provides-Extra: video
Provides-Extra: plotly
Provides-Extra: redis
Provides-Extra: spark
Provides-Extra: svmlight
Provides-Extra: tensorflow
Provides-Extra: yaml
Provides-Extra: api.APIDataSet
Provides-Extra: biosequence.BioSequenceDataSet
Provides-Extra: dask.ParquetDataSet
Provides-Extra: geopandas.GeoJSONDataSet
Provides-Extra: matplotlib.MatplotlibWriter
Provides-Extra: holoviews.HoloviewsWriter
Provides-Extra: networkx.NetworkXDataSet
Provides-Extra: pandas.CSVDataSet
Provides-Extra: pandas.ExcelDataSet
Provides-Extra: pandas.FeatherDataSet
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: pandas.GenericDataSet
Provides-Extra: pillow.ImageDataSet
Provides-Extra: video.VideoDataSet
Provides-Extra: plotly.PlotlyDataSet
Provides-Extra: plotly.JSONDataSet
Provides-Extra: spark.SparkDataSet
Provides-Extra: spark.SparkHiveDataSet
Provides-Extra: spark.SparkJDBCDataSet
Provides-Extra: spark.DeltaTableDataSet
Provides-Extra: svmlight.SVMLightDataSet
Provides-Extra: tensorflow.TensorflowModelDataset
Provides-Extra: yaml.YAMLDataSet
Provides-Extra: all

# 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://kedro.readthedocs.io/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).
