getindata / kedro-airflow-k8sLinks
Kedro Plugin to support running pipelines on Kubernetes using Airflow.
☆28Updated 8 months ago
Alternatives and similar repositories for kedro-airflow-k8s
Users that are interested in kedro-airflow-k8s are comparing it to the libraries listed below
Sorting:
- Kedro Plugin to support running workflows on Kubeflow Pipelines☆56Updated 4 months ago
- Kedro Plugin to support running workflows on GCP Vertex AI Pipelines☆37Updated 2 weeks ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- Concept drift monitoring for HA model servers.☆101Updated 2 years ago
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- Templates for your Kedro projects.☆79Updated 3 weeks ago
- MLOps Python Library☆120Updated 3 years ago
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated last week
- A tutorial on how to use kedro-mlflow plugin (https://github.com/Galileo-Galilei/kedro-mlflow) to synchronize training and inference and …☆40Updated 3 years ago
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆81Updated last year
- Kedro plugin to support running workflows on Microsoft Azure ML Pipelines☆39Updated 2 weeks ago
- Pylint plugin for static code analysis on Airflow code☆96Updated 5 years ago
- First-party plugins maintained by the Kedro team.☆107Updated this week
- Ingesting data with Pulumi, AWS lambdas and Snowflake in a scalable, fully replayable manner☆71Updated 3 years ago
- DBND is an agile pipeline framework that helps data engineering teams track and orchestrate their data processes.☆267Updated 7 months ago
- Plugins, extensions, case studies, articles, and video tutorials for Kedro☆90Updated 11 months ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆72Updated 5 months ago
- 🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud sto…☆398Updated 9 months ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆228Updated this week
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated 5 months ago
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆36Updated 3 years ago
- A Kedro plugin that provides pandas dropin replacements for the pandas datasets (e.g modin and cuDF)☆12Updated 4 years ago
- Monitor the stability of a Pandas or Spark dataframe ⚙︎☆507Updated 2 months ago
- Make simple storing test results and visualisation of these in a BI dashboard☆48Updated last month
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- Playground for using large language models into the Modern Data Stack for entity matching☆108Updated 2 years ago
- 🎲 A curated list of MLOps projects, tools and resources☆185Updated last year
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆229Updated last year
- Toolkit for developing and maintaining ML models☆154Updated last year
- End to End example integrating MLFlow and Seldon Core☆52Updated 5 years ago