MindsDB Installation for Development

If you want to contribute to the development of MindsDB, you need to install from source.

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Install MindsDB for Development

Here are the steps to install MindsDB from source. You can either follow the steps below or visit the provided link.

1. Fork the MindsDB repository from GitHub.

2. Clone the fork locally:

   git clone https://github.com/<username>/mindsdb.git
   

3. Create a virtual environment:

   python -m venv mindsdb-venv
   

4. Activate the virtual environment:

   source mindsdb-venv/bin/activate
   

5. Install MindsDB with its local development dependencies:

   Install dependencies:

   cd mindsdb
   pip install -e .
   pip install -r requirements/requirements-dev.txt
   

6. Start MindsDB:

   python -m mindsdb
   

   By default, MindsDB starts the http and mysql APIs. If you want to use Mongo API, you will need to provide that as a parameter to --api. You can do it as follows:

   python -m mindsdb --api=http,mongodb,mysql
   

 make install_mindsdb
 make run_mindsdb

Now you should see the following message in the console:

...

mindsdb.api.http.initialize:  - GUI available at http://127.0.0.1:47334/
mindsdb.api.mysql.mysql_proxy.mysql_proxy: Starting MindsDB Mysql proxy server on tcp://127.0.0.1:47335
mindsdb.api.mysql.mysql_proxy.mysql_proxy: Waiting for incoming connections...
mindsdb: mysql API: started on 47335
mindsdb: http API: started on 47334

You can access the MindsDB Editor at localhost:47334.

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Install dependencies

The dependencies for many of the data or ML integrations are not installed by default.

If you want to use a data or AI/ML integration whose dependencies are not available by default, install it by running this command:

pip install .[handler_name]

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What’s Next?

Now that you installed and started MindsDB locally, go ahead and find out how to create and train a model using the CREATE MODEL statement.

Check out the Use Cases section to follow tutorials that cover Large Language Models, Chatbots, Time Series, Classification, and Regression models, Semantic Search, and more.