An open source project from Data to AI Lab at MIT.
Sintel (Signal Intelligence) provides Restful APIs to process massive signal data for anomaly analysis in an efficient and user-friendly way.
Make sure you have installed all of the following prerequisites on your development machine:
Once you've downloaded the Sintel repository and installed all the prerequisites, you're just a few steps away from running your application. To install the project, create a virtualenv and execute
This command will install all the dependencies needed for the application to run. For development, use the following command instead, which will install some additional dependencies for code linting and testing
Download demo data and load it to the mongodb. The database name by default is sintel.
Please activate your virtualenv, and then launch the API server:
Go to the API playground (http://localhost:3000/apidocs) to have a try.
Run the following command for the purpose of development
$ sintel run -E development -v
Once the server runs up, you should be able to open the following API interfaces:
Follow the tutorial .tutorials/Anomaly Detection.ipynb for detail.
Go to the API playground (http://localhost:3000/apidocs) to have a try. For further commands, please refer to Makefile, the session of Docker Installation.
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