skillfed

elasticsearch

Python client for Elasticsearch

elasticsearch Permissive license Apache-2.0 Active 4,385 v9.5.0 released

Install

elasticsearch on PyPI

pip

pip install elasticsearch

uv

uv add elasticsearch

poetry

poetry add elasticsearch

Package facts

License Apache-2.0 (permissive)
Python support supports the current Python release (>=3.10)
Install friction low — pure-Python wheel
Runtime dependencies 5 — anyio, elastic-transport, python-dateutil, sniffio, typing-extensions
Maintenance actively maintained — 9 days since the last release
Last repo commit
First released
Popularity one of the top 1,000 most-downloaded packages on PyPI (30-day window, as of 2026-08-13)
Known vulnerabilities none known (OSV.dev, checked 2026-08-13)

Evidence: elasticsearch-9.5.0-py3-none-any.whl

Keywords: REST, client, elastic, elasticsearch, index, kibana, mapping, search

Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Programming Language :: Python :: Implementation :: CPythonProgramming Language :: Python :: Implementation :: PyPy

About elasticsearch

from the package's own PyPI description — quoted content, verbatim

<p align="center"> <img src="https://github.com/elastic/elasticsearch-py/raw/main/docs/images/logo-elastic-glyph-color.svg" width="20%" alt="Elastic logo" /> </p>

Elasticsearch Python Client

<p align="center"> <a href="https://pypi.org/project/elasticsearch"><img alt="PyPI Version" src="https://img.shields.io/pypi/v/elasticsearch" /></a> <a href="https://pypi.org/project/elasticsearch"><img alt="Python Versions" src="https://img.shields.io/pypi/pyversions/elasticsearch" /></a> <a href="https://anaconda.org/conda-forge/elasticsearch"><img alt="Conda Version" src="https://img.shields.io/conda/vn/conda-forge/elasticsearch" /></a> <a href="https://pepy.tech/project/elasticsearch?versions=*"><img alt="Downloads" src="https://static.pepy.tech/badge/elasticsearch" /></a> <br/> <a href="https://github.com/elastic/elasticsearch-py/actions/workflows/ci.yml?query=workflow%3ACI"><img alt="Build Status on GitHub" src="https://github.com/elastic/elasticsearch-py/workflows/CI/badge.svg" /></a> <a href="https://buildkite.com/elastic/elasticsearch-py-integration-tests"><img alt="Buildkite Status on Buildkite"...

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AI interpretation — verify before relying

AI-generated interpretation of the package facts above; every digit, version, license, or vulnerability id it cites is grounded in the facts already shown on this page

Official Python client for Elasticsearch that handles connection pooling, node discovery, load balancing, and TLS authentication to query and manage Elasticsearch clusters.

Low friction installation with five lightweight runtime dependencies. Actively maintained with a release 9 days ago and strong upstream engagement (4385 GitHub stars, last commit 2026-08-13).

Apache-2.0 permissive license allows use in commercial and proprietary projects with minimal restrictions; attribution and license notice required.

Usage

pip install elasticsearch==9.5.0

from elasticsearch import Elasticsearch

client = Elasticsearch(["http://localhost:9200"])
result = client.search(index="my_index", query={"match_all": {}})

Requires Python 3.10 or later; Elasticsearch server must be running and accessible at the specified host/port.

Verdict: Production-ready official client with active maintenance, no known vulnerabilities, and permissive licensing. Low install friction and broad Python version support (3.10–3.14) make it a safe choice for Elasticsearch integration.

Needs verification

  • Whether elastic-transport and anyio are well-maintained and have their own security track records.
  • Performance characteristics under high concurrency or large result sets compared to alternatives.
elasticsearch python clientelasticsearch query librarysearch engine python apielasticsearch cluster connectionelasticsearch document indexingelasticsearch rest clientelasticsearch python sdk

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