Name | seed-farmer JSON |
Version |
7.0.9
JSON |
| download |
home_page | None |
Summary | The AWS Professional Services CLI tool SeedFarmer for GitOps support |
upload_time | 2025-09-03 21:33:37 |
maintainer | None |
docs_url | None |
author | AWS Professional Services |
requires_python | <3.14,>=3.9 |
license | Apache-2.0 |
keywords |
aws
gitops
|
VCS |
 |
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# Seed-Farmer
[](https://pypi.org/project/seed-farmer/)
[](https://pypi.org/project/seed-farmer/)
[](https://github.com/awslabs/seed-farmer/blob/main/LICENSE)
Seed-Farmer (seedfarmer) is an opensource orchestration tool modeled after [GitOps deployments](https://www.gitops.tech/). It has a CommandLine Interface (CLI) and is based in Python.
Please see our [SeedFarmer Documentation](https://seed-farmer.readthedocs.io/en/latest/).
For information related to the architecture of Seed-Farmer or the deployment scheme...please see:
- [Seed-Farmer multi-account architecture](https://seed-farmer.readthedocs.io/en/latest/architecture.html)
- [Seed-Farmer processing steps](https://seed-farmer.readthedocs.io/en/latest/architecture.html#method-of-processing)
Seed-Farmer uses modular code deployments ([see modules](https://seed-farmer.readthedocs.io/en/latest/module_development.html)) leveraging [manifests](https://seed-farmer.readthedocs.io/en/latest/manifests.html) and [deployspecs](https://seed-farmer.readthedocs.io/en/latest/module_development.html#deployspec), keeping track of changes and applying changes as need / detected.
## Getting Started
The Seed-Farmer library is available on PyPi. Install the library in a python virtual environment.
```bash
python3 -m venv .venv
source .venv/bin/activate
pip install seed-farmer
```
Seed-Farmer also supports [uv](https://docs.astral.sh/uv/guides/tools/), and can be installed as a tool or into into a virtual environment.
```bash
uv tool install seed-farmer
```
A [project](https://seed-farmer.readthedocs.io/en/latest/project_development.html) is now necessary to begin create modules.
## Development
To get started with developing you need to setup a virtual environment and install the needed python dependencies
Setup virtual environment and install dependencies:
```bash
make install
```
Run unit tests
```bash
make test
```
Validate ruff formatting and mypy
```bash
make validate
```
Fix ruff formatting issues
```bash
make format
```
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