Rats is a collection of tools to help researchers define and run experiments. It is designed to be a modular and extensible framework currently supporting building and running pipelines, integrating configs and services.
https://microsoft.github.io/rats
https://github.com/microsoft/rats/
A light package containing the interfaces and tools to organize your code in a modular way. It provides the mechanisms to define services (a.k.a., general purpose objects) and containers (classes containing service providers). These containers are then added to a general app as plugins providing an entry point to a whole ecosystem of general services.
A package to define and run pipelines of nodes (computational tasks) and edges (node dependencies or data dependencies). It provides a low-level API to define pipeline execution, task execution and IO management. It also provides a high level API to orchestrate running a pipeline locally or in a distributed environment.
A package to create and compose pipelines in a higher level API, where processors (classes or unbound methods) are mapped into pipeline nodes, node ports are inferred from the processors signature, and edges are created by connecting the node ports inputs and outputs. Pipelines defined this way are immutable objects that can be reused and composed into larger pipelines.
A light component to help with the development of the other components. It provides a set of tools to generate documentation, run tests, format and lint code and help in the release process.
Install the latest version of rats from PyPI for any component you want:
# With pip3.
pip3 install rats-apps rats-apps rats-pipelines rats-processors
# With poetry.
poetry add rats-apps rats-apps rats-pipelines rats-processors
# With uv.
uv pip install rats-apps rats-apps rats-pipelines rats-processors
# With pipenv.
pipenv install rats-apps rats-apps rats-pipelines rats-processorsWe use the following optional dependencies for development:
- direnv: To manage environment variables and load python virtual environments automatically.
- pyenv: To manage python versions.
- pipx: To install python packages in isolated environments.
- commitizen: To help with conventional commits.
- cz-conventional-gitmoji: A commitizen plugin that combines gitmoji and conventional commits.
- pre-commit: To run code formatting and linting before committing.
- poetry: To manage package dependencies and virtual environments.
- python >= 3.10
For setting up the development environment:
- Clone the repository and cd into it.
- Install the dependencies with poetry:
cd rats; poetry install; cd -
cd rats-apps; poetry install; cd -
cd rats-devtools; poetry install; cd -
cd rats-pipelines; poetry install; cd -
cd rats-processors; poetry install; cd -- Install
rats-devtoolscommand (optional):
pipx install -e rats-devtools # installs in local environmentLearn about Devcontainers. Requires Docker installed on your local machine.
👉 Follow instructions for VSCode and/or PyCharm.
Learn about GitHub Codespaces and/or DevPod.
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