Keep track of all the Open Source AI projects, repositories, and contributors in an intuitive UI.
![image](https://private-user-images.githubusercontent.com/29598954/275415153-c95215c9-001c-4d6a-986a-eb9142183beb.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.TatYOA6R_vHVDJ_ZqcA7gGFwWljjGE6A2dgON2eWIzE)
- One Leaderboard to rule them all. No more 10 different tabs to check OpenLLM Leaderboard, CodeGen Leaderboards etc etc.
- Fear and Hype Index. A metric to measure the hype and fear around open-source AI based on Twitter and Reddit posts.
- Hot Topics and Trends. A list of the most popular topics and trends in the Open Source AI community. Check on what the main projects are working on based on Issues and PRs.
- Hot Tools. A list of the most mentioned tools across Reddit and Twitter.
# clone the repo
git clone https://github.com/filopedraz/llama-explorer
# run the docker-compose
docker-compose up --build -d
# clone the repo
git clone https://github.com/filopedraz/llama-explorer
# install all dependencies
virtualenv venv
source venv/bin/activate
pip install -r requirements.txt
# configure pre-commit
pip install pre-commit
pre-commit install
# configure env variables
cp .env.example .env
# run the peripherics with docker-compose
docker-compose up -d postgres redis
# run the django backend
python manage.py migrate
python manage.py runserver
# run the tasks to fetch data
python manage.py repositories
python manage.py commits
python manage.py contributors
python manage.py locations
# run the streamlit app
streamlit run Home.py