Based on our record, Dagster seems to be more popular. It has been mentiond 2 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Level 1 of MLOps is when you've put each lifecycle stage and their intefaces in an automated pipeline. The pipeline could be a python or bash script, or it could be a directed acyclic graph run by some orchestration framework like Airflow, dagster or one of the cloud-provider offerings. AI- or data-specific platforms like MLflow, ClearML and dvc also feature pipeline capabilities. - Source: dev.to / 10 days ago
I would recommend the following: - https://www.mage.ai/ - https://dagster.io/ - https://www.prefect.io/ - https://metaflow.org/ - https://zenml.io/home. Source: about 1 year ago
Hall Monitor - Hall Monitor brings all your apps - Stripe, Shopify, Twitter, Instagram, and more - into unified automated reports, delivered to Slack or your inbox.
Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.
AWS Step Functions - AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.
Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.
Kedro - An open-source framework for data science code
Azure Data Factory - Learn more about Azure Data Factory, the easiest cloud-based hybrid data integration solution at an enterprise scale. Build data factories without the need to code.