anna-geller / prefect-deployment-patternsLinks
Code examples showing flow deployment to various types of infrastructure
☆110Updated 2 years ago
Alternatives and similar repositories for prefect-deployment-patterns
Users that are interested in prefect-deployment-patterns are comparing it to the libraries listed below
Sorting:
- Project demonstrating how to automate Prefect 2.0 deployments to AWS ECS Fargate☆116Updated 2 years ago
- A simple guide to understand Prefect and make it work with your own docker-compose configuration.☆161Updated last year
- Deploy a Prefect flow to serverless AWS Lambda function☆35Updated 3 years ago
- Collection of Prefect integrations for working with dbt with your Prefect flows.☆82Updated last year
- ☆74Updated last year
- Examples of various flow deployments for Prefect 1.0 (storage and run configurations)☆35Updated 3 years ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- Pipeline definitions for managing data flows to power analytics at MIT Open Learning☆44Updated this week
- Possibly the fastest DataFrame-agnostic quality check library in town.☆223Updated this week
- A simple and easy to use Data Quality (DQ) tool built with Python.☆50Updated 2 years ago
- The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt☆60Updated 3 weeks ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆81Updated last year
- Snippets and templates representing common Customer Success patterns☆254Updated 9 months ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated last year
- Collection of code snippets for blogs, conferences, and talks☆24Updated 2 years ago
- Prefect integrations for working with Docker☆42Updated last year
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆84Updated this week
- ☆27Updated 3 years ago
- dagster scikit-learn pipeline example.☆45Updated 2 years ago
- The Prefect API and backend☆246Updated 2 years ago
- New generation opensource data stack☆74Updated 3 years ago
- Full stack data engineering tools and infrastructure set-up☆57Updated 4 years ago
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated 5 months ago
- A template repository with all the fundamentals needed to develop and deploy a Python data-processing routine for Prefect pipelines.☆20Updated 3 years ago
- Helm charts for deploying Prefect Services☆135Updated this week
- Data-aware orchestration with dagster, dbt, and airbyte☆30Updated 2 years ago
- A CLI tool to streamline getting started with Apache Airflow™ and managing multiple Airflow projects☆223Updated 5 months ago
- Cloud-agnostic Python API☆60Updated last year
- Great Expectations Airflow operator☆167Updated last week
- An example of a Dagster project with a possible folder structure to organize the assets, jobs, repositories, schedules, and ops. Also has…☆100Updated 11 months ago