Hi there, this is 
Modelstar 👋
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
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.
$ 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
Tutorials
1 maintainer
Metadata
1 maintainer
Release files for modelstar 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| modelstar-0.5.0.tar.gz | 1.9 MB | Without provenance | Details for modelstar-0.5.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| modelstar-0.5.0-py3-none-any.whl | Python 3 | none | any | Details for modelstar-0.5.0-py3-none-any.whl |
Total release size: 3.9 MB
Release files / modelstar-0.5.0.tar.gz
| Download URL | modelstar-0.5.0.tar.gz |
|---|---|
| Size | 1.9 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.11.4 Darwin/22.5.0
|
Release files / modelstar-0.5.0-py3-none-any.whl
| Download URL | modelstar-0.5.0-py3-none-any.whl |
|---|---|
| Size | 2.0 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
poetry/1.5.1 CPython/3.11.4 Darwin/22.5.0
|
Security for modelstar 0.5.0
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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