Alternatives and similar repositories for oreilly-workflow-orchestration

Users that are interested in oreilly-workflow-orchestration are comparing it to the libraries listed below

• anna-geller / prefect-deployment-patterns
  Code examples showing flow deployment to various types of infrastructure
  ☆111Updated 2 years ago
• BennyJW / prefect2-docker-gce
  A very simple "hello world" project for deploying Prefect 2 to a docker container on Google Compute Engine.
  ☆11Updated 3 years ago
• fugue-project / tutorials
  Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…
  ☆114Updated 3 weeks ago
• anna-geller / prefect-aws-lambda
  Deploy a Prefect flow to serverless AWS Lambda function
  ☆36Updated 3 years ago
• tamsanh / kedro-great
  The easiest way to integrate Kedro and Great Expectations
  ☆54Updated 2 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆49Updated 10 months ago
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆41Updated 3 years ago
• kvnkho / demos
  Collection of code snippets for blogs, conferences, and talks
  ☆24Updated 3 years ago
• danielbeach / tinytimmy
  A simple and easy to use Data Quality (DQ) tool built with Python.
  ☆50Updated 2 years ago
• danielbeach / sniffer
  csv and flat-file sniffer built in Rust.
  ☆43Updated last year
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆57Updated 4 years ago
• kedro-org / kedro-starters
  Templates for your Kedro projects.
  ☆80Updated this week
• great-expectations / great_expectations_action
  A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.
  ☆81Updated last year
• canimus / cuallee
  Possibly the fastest DataFrame-agnostic quality check library in town.
  ☆229Updated last month
• coiled / talkpython-getting-started-with-dask
  Material for Talk Python Training course on Getting Started with Dask.
  ☆30Updated 2 years ago
• PrefectHQ / prefect-openai
  Prefect integrations for working with OpenAI.
  ☆34Updated last year
• anna-geller / dataflow-ops
  Project demonstrating how to automate Prefect 2.0 deployments to AWS ECS Fargate
  ☆116Updated 2 years ago
• MatsMoll / aligned
  The DBT of ML, as Aligned describes data dependencies in ML systems, and reduce technical data debt
  ☆60Updated 2 weeks ago
• ploomber / posts
  Complementary code for blog posts
  ☆24Updated 10 months ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• Ark-kun / google_cloud_mlflow
  Experimental MLflow plugin for Google Cloud Vertex AI
  ☆38Updated 6 months ago
• noahgift / databricks-zero-to-mlops
  ☆28Updated 3 years ago
• jmprovencher / prefect-tutorial
  A quick and easy way to start learning about Prefect
  ☆10Updated 3 years ago
• jonathanneo / data-aware-orchestration
  Data-aware orchestration with dagster, dbt, and airbyte
  ☆30Updated 2 years ago
• snowflakedb / snowflake-ml-python
  ☆60Updated last week
• Aiven-Labs / python-notebooks-for-apache-kafka
  A Series of Notebooks on how to start with Kafka and Python
  ☆152Updated 9 months ago
• Swiple / swiple
  Swiple enables you to easily observe, understand, validate and improve the quality of your data
  ☆84Updated last week
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• monte-carlo-data / data-downtime-challenge
  ☆93Updated 2 years ago
• PrefectHQ / prefect-sqlalchemy
  Prefect integrations with SQLAlchemy.
  ☆24Updated last year