eland: pandas-like data analysis toolkit backed by Elasticsearch

Date: May 20, 2020 Version: 7.7.0a1

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eland is an open source, Apache2-licensed elasticsearch Python client to analyse, explore and manipulate data that resides in elasticsearch. Where possible the package uses existing Python APIs and data structures to make it easy to switch between Numpy, Pandas, Scikit-learn to their elasticsearch powered equivalents. In general, the data resides in elasticsearch and not in memory, which allows eland to access large datasets stored in elasticsearch.

Installing Eland

Eland can be installed from PyPI via pip:

$ python -m pip install eland

Eland can also be installed from Conda Forge with Conda:

$ conda install -c conda-forge eland

• API reference

  • Input/Output

  • General utility functions

  • DataFrame

  • Series

  • Index

  • Machine Learning

• Implementation Notes

  • Implementation Details

  • pandas.DataFrame supported APIs

• Development

  • Contributing to eland

• Examples

  • Eland Demo Notebook

  • Online Retail Analysis

API reference