getindata / kedro-airflow-k8sLinks
Kedro Plugin to support running pipelines on Kubernetes using Airflow.
☆28Updated 6 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☆55Updated 2 months ago
- The easiest way to integrate Kedro and Great Expectations☆54Updated 2 years ago
- Templates for your Kedro projects.☆78Updated last week
- Concept drift monitoring for HA model servers.☆102Updated 2 years ago
- Kedro Plugin to support running workflows on GCP Vertex AI Pipelines☆37Updated last week
- Tutorials for Fugue - A unified interface for distributed computing. Fugue executes SQL, Python, and Pandas code on Spark and Dask withou…☆114Updated last year
- A GitHub Action that makes it easy to use Great Expectations to validate your data pipelines in your CI workflows.☆81Updated last year
- Kedro-Accelerator speeds up pipelines by parallelizing I/O in the background.☆36Updated 3 years ago
- 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
- Pylint plugin for static code analysis on Airflow code☆95Updated 4 years ago
- First-party plugins maintained by the Kedro team.☆104Updated last week
- Experimental MLflow plugin for Google Cloud Vertex AI☆38Updated 3 months ago
- Kedro plugin to support running workflows on Microsoft Azure ML Pipelines☆39Updated last week
- Projects developed by Domino's R&D team☆77Updated 3 years ago
- A tool to deploy a mostly serverless MLflow tracking server on a GCP project with one command☆71Updated 3 months ago
- Demo repository to lambda-fy your dbt runs☆11Updated 2 years ago
- A kedro-plugin for integration of mlflow capabilities inside kedro projects (especially machine learning model versioning and packaging)☆224Updated 3 weeks 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…☆395Updated 7 months ago
- Debussy is an opinionated Data Architecture and Engineering framework, enabling data analysts and engineers to build better platforms and…☆28Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- MLOps Python Library☆119Updated 3 years ago
- Swiple enables you to easily observe, understand, validate and improve the quality of your data☆84Updated this week
- ☆49Updated last year
- PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more☆229Updated last year
- quickly diff kedro history☆10Updated last month
- Examples of data science projects created with Kedro.☆173Updated 2 years ago
- IbisML is a library for building scalable ML pipelines using Ibis.☆115Updated last month
- Toolkit for developing and maintaining ML models☆154Updated last year
- Make simple storing test results and visualisation of these in a BI dashboard☆46Updated last week
- Automatically export Jupyter notebooks to various file formats (.py, .html, and more) on save.☆81Updated last week