Analytics for developers, open-source projects & more
- We do not need fancy dashboards,
- We need actual analytics for developers & open-source projects.
Example usage
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<title>Example usage</title>
</head>
<body>
<script>
/*
You can host an analytx server on your servers / heroku / aws or gcloud.
Insert your servers base url below.
*/
window.BASE_URL = 'https://beta.analytx.dev' // your analytx server
/*
Send a event.
The event can be anything you want
*/
send({type: 'click', event:'jobApply'})
/*
*/
send({type: 'seen', event:'jobPage'})
// count().then(data => data.count).then(console.log)
// total().then(data => data.count).then(console.log)
</script>
<script src='https://analytx.dev/analytx.js'></script>
</body>
</html>Deploy to your servers
Deploy to heroku (TO-DO)
Install
git clone git@github.com:cagataycali/analytics.git
npm install # yarn
MONGO_URI='YOUR_MONGO_DB_URL' npm start # yarn start (for backend.) starts @ localhost:5000In seperated terminal:
cd demo;
python -m SimpleHTTPServer 8000
open http://localhost:8000 # the alert will be popup.Running with docker
docker build -t analytics .docker run --rm -i -t -e MONGO_URI='YOUR_MONGO_DB_URL' -e PORT='80' -p 5000:80 analyticsRunnig with docker compose
App will be available at :5000.
docker-compose pull && docker-compose up --abort-on-container-exit