> ## Documentation Index
> Fetch the complete documentation index at: https://docs.mindsdb.com/llms.txt
> Use this file to discover all available pages before exploring further.

# PyPI

In this section, we present how to connect PyPI to MindsDB.

[PyPI](https://pypi.org) is a host for maintaining and storing Python packages. It's a good place for publishing your Python packages in different versions and releases.

Data from PyPI can be utilized within MindsDB to train models and make predictions about your Python packages.

## Connection

This handler is implemented using the standard Python `requests` library. It is used to connect to the RESTful service that [pypistats.org](https://pypistats.org) is serving.

There are no connection arguments required to initialize the handler.

To connect to PyPI using MindsDB, the following CREATE DATABASE statement can be used:

```sql theme={null}
CREATE DATABASE pypi_datasource
WITH ENGINE = 'pypi'
```

## Usage

Now, you can use the following queries to view the statistics for Python packages (MindsDB, for example):

Overall downloads, including mirrors:

```sql theme={null}
SELECT *
FROM pypi_datasource.overall WHERE package="mindsdb" AND mirrors=true;
```

Overall downloads on CPython==2.7:

```sql theme={null}
SELECT *
FROM pypi_datasource.python_minor WHERE package="mindsdb" AND version="2.7";
```

Recent downloads:

```sql theme={null}
SELECT *
FROM pypi_datasource.recent WHERE package="mindsdb";
```

Recent downloads in the last day:

```sql theme={null}
SELECT *
FROM pypi_datasource.recent WHERE package="mindsdb" AND period="day";
```

All downloads on Linux-based distributions:

```sql theme={null}
SELECT date, downloads
FROM pypi_datasource.system WHERE package="mindsdb" AND os="Linux";
```

<Tip>
  Each table takes a required `package` argument in the WHERE clause, which is the name of the package you want to query.
</Tip>

## Supported Tables

The following tables are supported by the PyPI handler:

* `overall`: daily download quantities for packages.
* `recent`: recent download quantities for packages.
* `python_major`: daily download quantities for packages, grouped by Python major version.
* `python_minor`: daily download quantities for packages, grouped by Python minor version.
* `system`: daily download quantities for packages, grouped by operating system.