Metric logging and analysis tool for ML experiments.
The components are:
- Scalable data store backed by PostgreSQL
- REST API for logging and retrieving data
- Python client library expa for sending metrics
- Powerful UI for metric visualization
This is a pre-release work in progress, expect breaking changes!
git clone https://github.com/jurgisp/expa.git && cd expa
PORT=8000 docker-compose up!pip install expa
import expa
logger = expa.Logger('experiment', 'run', api_url='http://localhost:8000/api')
logger.log_params({'param': 'value'})
for step in range(1, 101):
logger.log({'loss': 1/step}, step)Open localhost:8000
The API does not have any user authentication built-in. Be sure to add an auth layer if you are planning to deploy the service on publicly accessible network.
See CONTRIBUTING.md for details.
Apache 2.0; see LICENSE for details.
This project is not an official Google project. It is not supported by Google and Google specifically disclaims all warranties as to its quality, merchantability, or fitness for a particular purpose.
This product is not intended or suitable for storing private data.