Based on our record, Miro should be more popular than Apache Airflow. It has been mentiond 232 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.
To fix this, I added a digital whiteboard to my workflow, and this is phenomenal. You can use any digital whiteboard, such as https://www.figma.com/figjam/, https://excalidraw.com/, https://miro.com/, or https://obsidian.md/canvas. My workflow generally goes like:. - Source: Hacker News / 2 months ago
Miro - Scalable, secure, cross-device, and enterprise-ready collaboration whiteboard for distributed teams. With a freemium plan. - Source: dev.to / 5 months ago
For your project, you actually might have a better time using Miro. I use Miro for doing pretty much any kind of presentation of grammar for my classes (I'm a language teacher) and love the ease and flexibility with which you can organise neat looking flow charts. Source: 7 months ago
Getting together around a whiteboard is one of the most productive ways for people to collaborate in a room together. Miro recreates that easy collaboration for remote teams with its multiplayer online whiteboards. - Source: dev.to / 10 months ago
We also had other tools in use, such as Miro. This tool was primarily used for visualizing certain process flows, like document change approval processes. Or at some point, we considered using boards in Asana because non-delivery processes were managed in that tool. However, when we contemplated the move to Asana, I decided to explore other potential tools. After reading many articles and conducting some research,... - Source: dev.to / 7 months ago
Instead of the custom orchestrator I used, a proper orchestration tool should replace it like Apache Airflow, Dagster, ..., etc. - Source: dev.to / 19 days ago
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 / about 1 month 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 2 months 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 / 5 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: 8 months ago
Mural - MURAL is a visual collaboration workspace for modern teams.
Microsoft Power Automate - Microsoft Power Automate is an automation platform that integrates DPA, RPA, and process mining. It lets you automate your organization at scale using low-code and AI.
Trello - Infinitely flexible. Incredibly easy to use. Great mobile apps. It's free. Trello keeps track of everything, from the big picture to the minute details.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Figma - Team-based interface design, Figma lets you collaborate on designs in real time.
Make.com - Tool for workflow automation (Former Integromat)