modelstar


Namemodelstar JSON
Version 0.5.0 PyPI version JSON
download
home_pagehttps://modelstar.io
SummaryDevOps for User Defined Functions and Stored Procedures in Data Warehouses
upload_time2023-07-12 11:23:33
maintainer
docs_urlNone
authorAdithya Krishnan
requires_python>=3.8,<4.0
licenseApache-2.0
keywords snowflake forecast udf stored procedure
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            # Hi there, this is <a href="https://modelstar.io/" style="color: #AF3BEA;"><img src="./static/logo.png" height="28"> Modelstar</a> 👋

ModelStar is the easiest way to ship and manage machine learning solutions inside Snowflake, with only a few lines of SQL.

## Modelstar is for the modern data stack

![How does Modelstar work?](./static/how-modelstar-works.png)

## Who are the users?

-   Snowflake and DBT users.
-   Anyone who knows basic SQL.
-   Analyst, data engineers.

## Why we build Modelstar?

Modelstar is our attempt to simplify ML for analysts. Our design philosophy is: **Data is the most critical component in ML, so shipping ML solutions should be as easy as creating data objects.**

## Installation

To get started with Modelstar, install the Modelstar Python package into your local Python environment.

```shell
$ pip install modelstar
```

It's recommended to install `modelstar` within a Python virtual environment using `pyenv`, `virtualenv`, or `poetry`.

For a complete quickstart guide visit [**Modelstar-Quickstart**](https://modelstar.io/docs/quickstart)

## Tutorials

-   [**Forecast Sales inside Snowflake with 1 Line of SQL**](https://modelstar.io/docs/tutorials/sales-forecasting-inside-snowflake)

            

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