Pneumatic is a modern forward-looking workflow management system that lets you build highly-customizable branching standard operating procedures and then run multiple workflows from each such SOP. Organize your tasks into sequences, and add data fields to ensure all the relevant information gets passed down the pipeline and nothing gets lost as the process is handed over from one team to the next. Do it in a highly effective graphical user interface. Run workflows, export key metrics into external applications via the public API, measure the performance of your workflows, and go back and refactor them on the fly, with Pneumatic dynamically propagating the changes you make to all the running instances of our SOP in the system. Engage with external users by allowing them to launch new workflows in Pneumatic via shared kick-off forms and by inviting them as guests to specific tasks. This feature offers an ideal solution for companies that hire a lot of contractors and freelancers – assign tasks to them via guest email links.
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Based on our record, Apache Airflow seems to be more popular. It has been mentiond 67 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.
An integral part of an ML project is data acquisition and data transformation into the required format. This involves creating ETL (extract, transform, load) pipelines and running them periodically. Airflow is an open source platform that helps engineers create and manage complex data pipelines. Furthermore, the support for Python programming language makes it easy for ML teams to adopt Airflow. - Source: dev.to / 8 days ago
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 / about 1 month ago
For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 4 months ago
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 7 months ago
Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 7 months ago
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