Eland: DataFrames and Machine Learning backed by Elasticsearch#

Date: May 11, 2022 Version: 8.2.0

Useful links: Source Repository | Issues & Ideas | Q&A Support

Eland is a Python Elasticsearch client for exploring and analyzing data in Elasticsearch with a familiar Pandas-compatible API.

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

Getting Started#

If it’s your first time using Eland we recommend looking through the Examples documentation for ideas on what Eland is capable of.

If you’re new to Elasticsearch we recommend reading the documentation.