Based on our record, Apache Airflow should be more popular than Uppy. It has been mentiond 66 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.
Look at https://uppy.io/ open source and lot of integrations. You can keep moving to different levels of abstraction as required and see some good practices of how things are done. - Source: Hacker News / 14 days ago
I just found uppy. This will be the next one I use. https://uppy.io/. Source: 11 months ago
I’m building a photo sharing website and want to make it incredibly easy to upload photos. Of course I could just utilize AWS official packages but that’s pretty bare bones. I could also use next-s3-upload which is purpose built for Next and simplifies some things but is still fairly basic. But then there’s things like uppy that provides everything you’d ever need in an uploaded (third party sources, camera, etc.)... Source: about 1 year ago
Media file uploads with the Uppy JavaScript uploader plugin. Source: about 1 year ago
I would look at Uppy.js, I've used it in an enterprise application and it works super well, makes it super easy to do what you're trying to achieve with progress bars for each file. Source: over 1 year 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 / 4 days 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 / 3 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: 6 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 / 6 months ago
AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 8 months ago
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