algoliasearch
A fully-featured and blazing-fast Python API client to interact with Algolia.
Decision gist · record as of 2026-08-14
Yes. The package is actively maintained, has no known vulnerabilities, supports modern Python versions from 3.8.1 onward, and carries a permissive MIT license. Install friction is low and the dependency set is standard. Choose it if you need to integrate Algolia search into a Python project and want a straightforward, officially-supported client.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8.1 or later; async operations require an async context or event loop.
- Low installation friction with a pure-wheel distribution.
- Actively maintained with a release within the last 30 days and support for current Python versions (3.9 through 3.14).
License · maintenance · safety
MIT (permissive) — MIT license permits use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
last release 2026-07-15 (30 days) · last repo commit 2026-08-11 · 207 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 3,233,239 downloads/mo, #2,690 on PyPI
Alternatives
Verify before relying
pip install 'algoliasearch>=4.0,<5.0'
from algoliasearch.search.client import SearchClient
client = SearchClient("YOUR_APP_ID", "YOUR_API_KEY")
response = await client.save_object(
index_name="index_name",
body={"objectID": "id", "test": "val"}
)- Whether sync and async patterns are equally supported or if async is primary
- Rate limiting, retry behavior, and error handling specifics beyond HTTP transport
- Performance characteristics under high-volume indexing or search workloads
What it is and what it does
Algoliasearch is a low-level HTTP client library that wraps Algolia's search and indexing API for Python applications. It provides a thin interface to send requests to Algolia's servers, handle responses, and manage common operations like adding records to indices, searching with typo tolerance, and polling task status. The library supports both synchronous and asynchronous workflows through its dependencies on aiohttp and requests, making it flexible for different application architectures.
The package is designed as a starting point for developers integrating Algolia search into Python projects. It handles the mechanics of API communication—authentication, serialization, and response parsing—leaving application logic to the caller. Dependencies include aiohttp, requests, urllib3 for HTTP transport, pydantic for response validation, and python-dateutil for timestamp handling.
Use it for
- Add, update, or delete records in a search index from a Python application
- Execute full-text searches with typo tolerance and retrieve ranked results
- Monitor indexing task completion by polling task status after bulk operations
- Integrate search functionality into a web application using the HTTP client
- Build semantic or neural search capabilities into an existing Python service
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The package is actively maintained, has no known vulnerabilities, supports modern Python versions from 3.8.1 onward, and carries a permissive MIT license. Install friction is low and the dependency set is standard. Choose it if you need to integrate Algolia search into a Python project and want a straightforward, officially-supported client.
Install
algoliasearch on PyPI
Before you install
Low installation friction with a pure-wheel distribution. Actively maintained with a release within the last 30 days and support for current Python versions (3.9 through 3.14).
Requires Python 3.8.1 or later; async operations require an async context or event loop.
License in practice
MIT license permits use, modification, and distribution with minimal restrictions, making it suitable for both open-source and commercial projects.
Quickstart
pip install 'algoliasearch>=4.0,<5.0'
from algoliasearch.search.client import SearchClient
client = SearchClient("YOUR_APP_ID", "YOUR_API_KEY")
response = await client.save_object(
index_name="index_name",
body={"objectID": "id", "test": "val"}
)Verify before relying
- Whether sync and async patterns are equally supported or if async is primary
- Rate limiting, retry behavior, and error handling specifics beyond HTTP transport
- Performance characteristics under high-volume indexing or search workloads
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.8.1 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 6 packagesaiohttpasync-timeoutpydanticpython-dateutilrequestsurllib3 |
| Maintenance | Actively maintained 30 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 3,233,239 / month, #2,690 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Intended Audience :: DevelopersLicense :: OSI Approved :: MIT LicenseProgramming 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 :: 3.9Topic :: Internet :: WWW/HTTP :: Indexing/Search |
Evidence: algoliasearch-4.44.4-py3-none-any.whl
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