--- id: fleet-python version: "0.2.133" license: Apache-2.0 license_treatment: permissive maintenance: abandoned --- # fleet-python — Python SDK for Fleet environments License: permissive · Maintenance: abandoned · Downloads: 278.0K/mo ## What it is and what it does Fleet SDK is a Python client library for interacting with Fleet's managed environment infrastructure. It abstracts away the complexity of provisioning, configuring, and managing remote environments by providing high-level APIs for environment creation, state access, and lifecycle management. The SDK handles authentication via browser login or API keys and communicates with Fleet's backend services through aiohttp and httpx. You use it to programmatically spin up isolated environments (like database instances), reset them with specific seeds or timestamps, query their state, and clean up resources when done. It's built on pydantic for data validation and includes retry logic through httpx-retries for resilient network communication. Use it for: - Create and manage isolated test environments for integration testing without manual provisioning. - Programmatically reset environments to known states for reproducible test runs with specific seeds. - Query and manipulate environment state (e.g., executing SQL against a managed database) from Python scripts. - List and filter running environment instances to monitor or manage infrastructure programmatically. - Automate environment lifecycle (create, reset, query, destroy) in CI/CD pipelines. ## Worth the install? AI-flagged interpretation of the facts above — verify before relying. Fleet SDK provides programmatic access to Fleet's environment infrastructure, enabling you to create, manage, and interact with remote environments through a Python API. No. The package is in alpha (Development Status 3), has been abandoned (repository archived, no commits since 2026-08-09), and offers no clear maintenance path. While install friction is low and the license is permissive, the lack of active maintenance and the early alpha status make it unsuitable for production or even reliable development use. Consider only if you are evaluating the Fleet platform itself or have direct support from Fleet. ## Install pip install fleet-python uv add fleet-python poetry add fleet-python ## Installing fleet-python Before you install: Low install friction with a pure-Python wheel distribution. However, the repository is archived and marked abandoned as of the latest release, raising concerns about future maintenance and support. License in practice: Licensed under Apache-2.0 (permissive), allowing commercial and private use with minimal restrictions, though you should review the full license terms for your use case. Quickstart: pip install fleet-python import fleet import datetime env = fleet.env.make("fira") env.reset(seed=42, timestamp=int(datetime.datetime.now().timestamp())) sql = env.state("sqlite://current") env.close() Requires Python 3.9 or later; authentication requires either browser login (stores credentials in ~/.fleet/credentials.json) or FLEET_API_KEY environment variable set with a valid API key from Fleet Platform. Verify before relying: - Whether the archived repository status means no security updates or bug fixes will be released. - Current state of Fleet Platform infrastructure and whether the service remains operational. - Support timeline and migration path for users of this SDK. ## Package facts - License: Apache-2.0 (permissive) - Python support: supports_current - Install friction: low - Maintenance: abandoned - Downloads: 278.0K/month (top 15,000 on PyPI) - Known vulnerabilities: none known ## Tags fleet environment management sdk, remote environment provisioning python, fleet infrastructure api client, environment instance management, fleet ai environments python, environment-management, infrastructure-as-code [View on SkillFed](https://skillfed.io/packages/fleet-python) · [View on PyPI](https://pypi.org/project/fleet-python/)