coiled / dask-bigquery
☆44Updated 7 months ago
Alternatives and similar repositories for dask-bigquery:
Users that are interested in dask-bigquery are comparing it to the libraries listed below
- A lightweight tool to fetch tables from BigQuery as pandas DataFrame very fast using BigQuery Storage API combined with multiprocessing☆27Updated last year
- Dask integration for Snowflake☆30Updated 4 months ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆113Updated 11 months ago
- Extension dtypes for pandas corresponding to GoogleSQL data types such as DATE, TIME, and JSON.☆28Updated last week
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆53Updated 6 months ago
- BigQuery backend for Ibis☆19Updated last year
- Notebooks that support blog posts and tech talks on Dask / Coiled.☆47Updated 2 weeks ago
- A place to provide Coiled feedback☆17Updated 2 weeks ago
- Demo repository to lambda-fy your dbt runs☆11Updated last year
- Fake Pandas / PySpark DataFrame creator☆46Updated last year
- A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)☆12Updated 4 years ago
- Build your feature store with macros right within your dbt repository☆38Updated 2 years ago
- Cloud provider cluster managers for Dask. Supports AWS, Google Cloud Azure and more...☆139Updated last month
- Experimental MLflow plugin for Google Cloud Vertex AI☆37Updated last year
- Python library for interacting with Dask clusters in Saturn☆12Updated 5 months ago
- A library to use `modal` as a backend for `joblib`.☆28Updated 2 months ago
- An abstraction layer for parameter tuning☆35Updated 6 months ago
- Prefect integrations for working with Docker☆43Updated 10 months ago
- A Delta Lake reader for Dask☆49Updated 5 months ago
- A python library bakeoff for medium sized datasets☆24Updated last year
- A secure way of storing credentials within JupyterLab☆23Updated 4 years ago
- 📖 Documentation for Nebari☆15Updated this week
- IbisML is a library for building scalable ML pipelines using Ibis.☆106Updated 2 months ago
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆75Updated last year
- Code examples showing flow deployment to various types of infrastructure☆104Updated 2 years ago
- Demo on how to use Prefect with Docker☆25Updated 2 years ago
- Example project for building scalable data pipelines with Kedro and Ibis.☆13Updated last year
- The easiest way to integrate Kedro and Great Expectations☆53Updated 2 years ago
- Prefect integrations for working with OpenAI.☆36Updated 10 months ago
- ☆34Updated 7 months ago