https://github.com/binste/dbt-ibis

Write your dbt models using Ibis
https://github.com/binste/dbt-ibis

data dbt ibis

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Write your dbt models using Ibis

• Host: GitHub
• URL: https://github.com/binste/dbt-ibis
• Owner: binste
• License: apache-2.0
• Created: 2023-09-05T14:01:18.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-02T18:34:51.000Z (6 months ago)
• Last Synced: 2024-10-01T23:37:13.710Z (about 1 month ago)
• Topics: data, dbt, ibis
• Language: Python
• Homepage: https://binste.github.io/dbt-ibis/
• Size: 1.83 MB
• Stars: 47
• Watchers: 3
• Forks: 2
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-dbt - dbt-ibis - Write your dbt models using [Ibis](https://ibis-project.org/), the portable Python dataframe library. (Packages)

README

        
# dbt-ibis

With dbt-ibis you can write your [dbt](https://www.getdbt.com/) models using [Ibis](https://ibis-project.org/). You can find the full documentation [here](https://binste.github.io/dbt-ibis/intro.html).

A simple dbt-ibis model looks like this:

```python

from dbt_ibis import depends_on, ref

@depends_on(ref("stg_stores"))

def model(stores):

    return stores.filter(stores["country"] == "USA")

```

You can install `dbt-ibis` via pip or conda:

```bash

pip install dbt-ibis

# or

conda install -c conda-forge dbt-ibis

```

In addition, you'll need to install the relevant [`Ibis` backend](https://ibis-project.org/install) for your database.

You can read about the advantages of combining dbt and Ibis in [this blog post](https://ibis-project.org/posts/dbt-ibis/).

## Development

```bash

pip install -e '.[dev]'

```

You can run linters and tests with

```bash

hatch run linters

hatch run tests

```