elasticsearch-curator
Tending your Elasticsearch indices and snapshots
Decision gist · record as of 2026-08-14
Yes. Curator is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a real operational need for anyone running Elasticsearch at scale. The permissive Apache license poses no restrictions. Install it if you manage Elasticsearch indices and need automated lifecycle policies.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.10 or later and a running Elasticsearch cluster to connect to.
- Low install friction with a single runtime dependency (es-client).
- Actively maintained with recent commits and a stable release cadence; supports current Python versions (3.10–3.13).
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 (permissive) — you may use, modify, and distribute this package freely in commercial and private projects, provided you retain the license notice.
last release 2025-10-03 (315 days) · last repo commit 2026-04-28 · 3,083 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 391,371 downloads/mo, #7,015 on PyPI
Alternatives
Verify before relying
pip install elasticsearch-curator
from es_client import get_client
from curator import Curator
# Configure via YAML file, then instantiate and run actions- Whether version 9.0.0 supports Elasticsearch 8.x and 7.14.0–7.17.x as described for earlier versions.
- Exact action types and configuration options available in version 9.0.0.
What it is and what it does
Elasticsearch Curator is a tool for automating the lifecycle management of Elasticsearch indices and snapshots. It reads YAML configuration files to define actions—such as deleting old indices, closing unused ones, optimizing segments, or managing snapshots—and applies them to your cluster on a schedule. The package connects via the es-client module, which handles authentication, SSL, and connection pooling separately from the core curation logic.
Curator is designed for operators managing time-series data in Elasticsearch who need to enforce retention policies, prevent disk space exhaustion, or maintain index performance without manual intervention. It works across multiple Elasticsearch versions and runs on Python 3.10 and later.
Use it for
- Delete indices older than a specified number of days to manage storage costs in time-series deployments.
- Close or optimize indices based on age or size thresholds to balance query performance and resource usage.
- Automate snapshot creation and deletion to enforce backup retention policies.
- Enforce index naming conventions and apply bulk operations across matching index patterns.
- Run scheduled maintenance tasks via cron or orchestration tools to keep Elasticsearch clusters healthy.
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
Curator is actively maintained, has no known vulnerabilities, installs with minimal friction, and solves a real operational need for anyone running Elasticsearch at scale. The permissive Apache license poses no restrictions. Install it if you manage Elasticsearch indices and need automated lifecycle policies.
Install
elasticsearch-curator on PyPI
Before you install
Low install friction with a single runtime dependency (es-client). Actively maintained with recent commits and a stable release cadence; supports current Python versions (3.10–3.13).
Requires Python 3.10 or later and a running Elasticsearch cluster to connect to.
License in practice
Apache License 2.0 (permissive) — you may use, modify, and distribute this package freely in commercial and private projects, provided you retain the license notice.
Quickstart
pip install elasticsearch-curator
from es_client import get_client
from curator import Curator
# Configure via YAML file, then instantiate and run actions
Verify before relying
- Whether version 9.0.0 supports Elasticsearch 8.x and 7.14.0–7.17.x as described for earlier versions.
- Exact action types and configuration options available in version 9.0.0.
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release >=3.10 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 1 packagees-client |
| Maintenance | Actively maintained 315 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 391,371 / month, #7,015 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: PythonProgramming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13 |
Evidence: elasticsearch_curator-9.0.0-py3-none-any.whl
Tags
Let your AI agent find packages like this
Example. Real query, live index.
You found this page by searching. An agent finds it by wishing: SkillFed indexes 14,416 PyPI packages by what they can do, searchable in plain language.
wish › “elasticsearch index lifecycle management”
- elasticsearch-curatorManages Elasticsearch indices and snapshots through automated actions…
- django-elasticsearch-dslIndexes Django model instances into Elasticsearch and keeps them…
- elasticsearch9Official Python client for Elasticsearch that handles connection…
Give your agent the search over MCP, or paste the wish link into any chat.
More Database packages
psycopg2-binary is a PostgreSQL database adapter for Python that implements the DB API 2.0 specification, enabling Python applications to connect to and query PostgreSQL databases with thread-safe concurrent operations.
Python client library for connecting to and executing commands against Redis key-value stores, supporting both synchronous and asynchronous operations.
Install it if your application needs to interact with Redis; the only prerequisite is a running Redis server instance.
YDB Python SDK is the official client library for connecting to and querying YDB databases from Python applications.
Install it if you need to connect Python applications to YDB databases.
Connects Python applications to Snowflake data warehouses using the DB API 2.0 specification, enabling SQL queries, data transfers, and warehouse operations.
sqlparse tokenizes SQL text into a tree of statements, clauses, and expressions, and provides functions to split scripts, format queries, and inspect parsed tokens without validating dialect or syntax.
Install it if you need to manipulate, format, or analyze SQL text programmatically.
Provides base adapter protocols and shared functionality that database adapters use to integrate with dbt-core, handling connections, dialect translation, relation caching, and core interface management.
See also curatorbin · django-elasticsearch-dsl · es-client · elasticsearch9 · elasticsearch-dsl · elasticsearch7 · langchain-elasticsearch · CMRESHandler · mozrunner