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https://github.com/eth-brownie/brownie
A Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.
https://github.com/eth-brownie/brownie
ethereum solidity vyper web3py
Last synced: 10 days ago
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A Python-based development and testing framework for smart contracts targeting the Ethereum Virtual Machine.
- Host: GitHub
- URL: https://github.com/eth-brownie/brownie
- Owner: eth-brownie
- License: mit
- Created: 2018-11-02T19:39:26.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2024-05-22T14:26:02.000Z (6 months ago)
- Last Synced: 2024-05-22T14:53:01.880Z (6 months ago)
- Topics: ethereum, solidity, vyper, web3py
- Language: Python
- Homepage: https://eth-brownie.readthedocs.io
- Size: 6.88 MB
- Stars: 2,614
- Watchers: 49
- Forks: 547
- Open Issues: 387
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
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README
# Brownie
[![Pypi Status](https://img.shields.io/pypi/v/eth-brownie.svg)](https://pypi.org/project/eth-brownie/) [![Docs Status](https://readthedocs.org/projects/eth-brownie/badge/?version=latest)](https://eth-brownie.readthedocs.io/en/stable/)
Brownie is a Python-based development and testing framework for smart contracts targeting the [Ethereum Virtual Machine](https://solidity.readthedocs.io/en/v0.6.0/introduction-to-smart-contracts.html#the-ethereum-virtual-machine).
**Brownie is no longer actively maintained**. Future releases may come sporadically - or never at all. Check out [Ape Framework](https://github.com/ApeWorX/ape) for all your python Ethereum development needs.
## Features
* Full support for [Solidity](https://github.com/ethereum/solidity) (`>=0.4.22`) and [Vyper](https://github.com/vyperlang/vyper) (`>=0.1.0-beta.16`)
* Contract testing via [`pytest`](https://github.com/pytest-dev/pytest), including trace-based coverage evaluation
* Property-based and stateful testing via [`hypothesis`](https://github.com/HypothesisWorks/hypothesis/tree/master/hypothesis-python)
* Powerful debugging tools, including python-style tracebacks and custom error strings
* Built-in console for quick project interaction## Dependencies
* [python3](https://www.python.org/downloads/release/python-3910/) version 3.10 or greater, python3-dev
* [hardhat](https://github.com/NomicFoundation/hardhat) or [ganache](https://github.com/trufflesuite/ganache)Tested with ganache version [7.9.2](https://github.com/trufflesuite/ganache/releases/tag/v7.0.2), however it is generally recommended to use hardhat because ganache has been sunsetted.
## Installation
### via `pipx`
The recommended way to install Brownie is via [`pipx`](https://github.com/pipxproject/pipx). pipx installs Brownie into a virtual environment and makes it available directly from the commandline. Once installed, you will never have to activate a virtual environment prior to using Brownie.
To install `pipx`:
```bash
python3 -m pip install --user pipx
python3 -m pipx ensurepath
```To install Brownie using `pipx`:
```bash
pipx install eth-brownie
```To upgrade to the latest version:
```bash
pipx upgrade eth-brownie
```To use lastest master or another branch as version:
```bash
pipx install git+https://github.com/eth-brownie/brownie.git@master
```### via `pip`
You can install the latest release via [`pip`](https://pypi.org/project/pip/):
```bash
pip install eth-brownie
```### via `setuptools`
You can clone the repository and use [`setuptools`](https://github.com/pypa/setuptools) for the most up-to-date version:
```bash
git clone https://github.com/eth-brownie/brownie.git
cd brownie
python3 setup.py install
```### as a library
If you want to install brownie inside your own project (rather than as a standalone cli tool):
```bash
export BROWNIE_LIB=1
pip install eth-brownie
```This loosens the pins on all dependencies. You'll want to make sure you have your own `requirements.txt` to make sure upgrades upstream don't surprise anyone.
### for development
There are extra tools that are helpful when developing:
```bash
git clone https://github.com/eth-brownie/brownie.git
cd brownie
python3 -m venv venv
./venv/bin/pip install wheel
./venv/bin/pip install -e . -r requirements-dev.txt
```Upgrading the pinned versions of dependencies is easy:
```
./venv/bin/pip-compile --upgrade
./venv/bin/pip-compile --upgrade requirements-dev.in
./venv/bin/pip-compile --upgrade requirements-windows.in
```Even small upgrades of patch versions have broken things in the past, so be sure to run all tests after upgrading things!
## Quick Usage
To initialize a new Brownie project, start by creating a new folder. From within that folder, type:
```bash
brownie init
```Next, type `brownie --help` for basic usage information.
## Documentation and Support
Brownie documentation is hosted at [Read the Docs](https://eth-brownie.readthedocs.io/en/latest/).
If you have any questions about how to use Brownie, feel free to ask on [Ethereum StackExchange](https://ethereum.stackexchange.com/) or join us on [Gitter](https://gitter.im/eth-brownie/community).
## Testing
To run the tests, first install the developer dependencies:
```bash
pip install -e . -r requirements-dev.txt
```Then use [`tox`](https://github.com/tox-dev/tox) to run the complete suite against the full set of build targets, or [`pytest`](https://github.com/pytest-dev/pytest) to run tests against a specific version of Python. If you are using [`pytest`](https://github.com/pytest-dev/pytest) you must include the `-p no:pytest-brownie` flag to prevent it from loading the Brownie plugin.
### Using Docker
You can use a sandbox container provided in the [`docker-compose.yml`](docker-compose.yml) file for testing inside a Docker environment.
This container provides everything you need to test using a Python 3.6 interpreter.
Start the test environment:
```bash
docker-compose up -d
```To open a session to the container:
```bash
docker-compose exec sandbox bash
```To run arbitrary commands, use the `bash -c` prefix.
```bash
docker-compose exec sandbox bash -c ''
```For example, to run the tests in `brownie/tests/test_format_input.py`:
```bash
docker-compose exec sandbox bash -c 'python -m pytest tests/convert/test_format_input.py'
```#### Attaching to dockerized RPC clients
You can also attach to a RPC client already running inside a docker container.
For example for running ganache-cli you could just startup the official ganache-cli docker image:
```bash
docker run -p 8545:8545 trufflesuite/ganache-cli
```Then in another terminal on your host you could connect to it:
```bash
brownie console
```If you have your RPC client bound to a specific hostname e.g. `ganache` you could create a separate brownie network for it:
```bash
brownie networks add Development dev cmd=ganache-cli host=http://ganache:8545
```Then connect to it with:
```bash
brownie console --network dev
```## Contributing
Help is always appreciated! Feel free to open an issue if you find a problem, or a pull request if you've solved an issue.
Please check out our [Contribution Guide](CONTRIBUTING.md) prior to opening a pull request, and join the Brownie [Gitter channel](https://gitter.im/eth-brownie/community) if you have any questions.
## License
This project is licensed under the [MIT license](LICENSE).