pandas-like data analysis toolkit backed by Elasticsearch


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.

See eland documentation for further details.

Installing elandedit

The source code is currently hosted on GitHub at: https://github.com/elastic/eland

Binary installers for the latest released version are available at the Python package index.

pip install eland


Check the eland documentation site for the full documentation and the latest updates.