looker-sdk
Looker REST API
Decision gist · record as of 2026-08-14
Yes. The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and is widely used (top 5000 PyPI packages). Install it if you need to integrate with a Looker instance; the permissive MIT license and stable API make it a straightforward choice.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Looker API credentials (client_id and client_secret) configured via environment variables, looker.ini file, or custom ApiSettings; Python 3.6 or later.
- Low install friction with a pure-wheel distribution and four lightweight runtime dependencies (requests, typing-extensions, attrs, cattrs).
- Actively maintained with a release 32 days ago.
License · maintenance · safety
MIT (permissive) — MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-07-13 (32 days)
0 known vulnerabilities (OSV.dev, 2026-08-14) · 20,086,773 downloads/mo, #1,045 on PyPI
Alternatives
Verify before relying
pip install looker-sdk
import looker_sdk
sdk = looker_sdk.init40()
my_user = sdk.me()
print(my_user.first_name)- Whether the generated models and API methods cover all current Looker API 4.0 endpoints
- Performance characteristics when handling large result sets or concurrent requests
- Support status for Looker API versions older than 3.1
What it is and what it does
looker_sdk is an auto-generated Python client for the Looker REST API. It wraps HTTP communication with requests and provides typed model classes for API requests and responses, allowing you to query Looker instances, manage users, and interact with dashboards and explores programmatically. The SDK uses a plug-in architecture for authentication (supporting both API key sessions and OAuth) and transport, and accepts both model instances and plain dictionaries for API method arguments.
The library is generated from Looker's API specification, so its methods and models track the API schema. It requires Python 3.6+ and is configured via environment variables, an .ini file, or a custom ApiSettings implementation. Common use cases include automating Looker administration, embedding analytics in applications, and building data pipelines that pull from Looker.
Use it for
- Automate user and content management in Looker instances via the API
- Embed Looker dashboards or explore results into external applications
- Build data pipelines that query Looker explores and export results
- Programmatically manage Looker roles, permissions, and access controls
- Integrate Looker with CI/CD or data orchestration workflows
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
The SDK is actively maintained, has low install friction, carries no known vulnerabilities, and is widely used (top 5000 PyPI packages). Install it if you need to integrate with a Looker instance; the permissive MIT license and stable API make it a straightforward choice.
Install
looker-sdk on PyPI
Before you install
Low install friction with a pure-wheel distribution and four lightweight runtime dependencies (requests, typing-extensions, attrs, cattrs). Actively maintained with a release 32 days ago.
Requires Looker API credentials (client_id and client_secret) configured via environment variables, looker.ini file, or custom ApiSettings; Python 3.6 or later.
License in practice
MIT license permits commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install looker-sdk
import looker_sdk
sdk = looker_sdk.init40()
my_user = sdk.me()
print(my_user.first_name)Verify before relying
- Whether the generated models and API methods cover all current Looker API 4.0 endpoints
- Performance characteristics when handling large result sets or concurrent requests
- Support status for Looker API versions older than 3.1
Package facts
| License | MIT permissive |
| Python support | Supports the current Python release >=3.6 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packagesrequeststyping-extensionsattrscattrs |
| Maintenance | Actively maintained 32 days since the last release |
| First released | |
| Downloads | 20,086,773 / month, #1,045 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
Evidence: looker_sdk-26.12.0-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 › “looker api client python”
- looker-sdkProvides a Python client library for communicating with the Looker…
- lkmlParses LookML strings into Python objects or JSON and serializes…
- acryl-datahubDataHub's ingestion framework and CLI for pulling metadata from 50+…
Give your agent the search over MCP, or paste the wish link into any chat.
More WWW/HTTP packages
urllib3 is an HTTP client library that provides thread-safe connection pooling, SSL/TLS verification, multipart file uploads, request retries, compression support, and proxy handling for Python applications.
Requests is a Python HTTP library that simplifies sending HTTP/1.1 requests with automatic handling of headers, authentication, cookies, and response parsing.
h11 is a pure-Python HTTP/1.1 protocol implementation that handles parsing and serializing HTTP messages without any built-in I/O, letting you integrate it with any network layer you choose.
HTTPX is a fully featured HTTP client library for Python that provides both sync and async APIs, with support for HTTP/1.1 and HTTP/2, plus an integrated command-line client.
Install it if you are building new projects or modernizing existing ones that rely on HTTP.
A minimal low-level HTTP client library that sends HTTP requests with thread-safe and task-safe connection pooling, supporting HTTP/1.1, HTTP/2, proxies, and both sync and async interfaces.
aiohttp is an async HTTP client and server framework built on asyncio, supporting both WebSockets and middleware-based routing for building concurrent web applications.
Install it if you need async HTTP client or server capabilities in asyncio-based applications.
See also lkml · pyxero · python-tss-sdk · ai-api-client-sdk · edx-rest-api-client · chargebee · sap-ai-sdk-base · volue-insight-timeseries · couchbase · pipedream