An unofficial DeFiLlama wrapper built for data science workflows.
For detailed instructions on the endpoints, refer to the API docs.
pip install pydefillama
import pydefillama as llama
# fetch all protocols
protocols = llama.fetch_all_protocols()
# fetch TVL for a protocol
llama.fetch_protocol_tvl(protocols[0]["slug"])
# fetch all chains
chains = llama.fetch_all_chains()
# fetch TVL for a chain
llama.fetch_chain_tvl(chains["name"])
Full list of supported functions here.
python -m unittest discover
# install module without pip
python setup.py develop
# run shell to play around
ipython
# import and use module in python shell
import pydefillama as llama
...
If you would like to contribute to this project, please open an issue or submit a PR. While we are open to all contributions, we would like to keep this project focused on data science workflows, which is why functions often return a pandas dataframe. If you would like to use this module for other purposes, please consider forking this repo.
To push to PyPi, follow the following steps:
- Update version in
setup.py - Push to main branch
- Run
./updatepip.sh
This project is licensed under the MIT License - see the LICENSE file for details.
We are thankful for the DefiLlama team for providing this open API. If you would like to support them, consider donating to them here.