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Based on our record, Apache Airflow seems to be a lot more popular than Knock App. While we know about 68 links to Apache Airflow, we've tracked only 4 mentions of Knock App. 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.
Knock.app – Notifications infrastructure for developers. Send to multiple channels like in-app, email, SMS, Slack, and push with a single API call. The free plan includes 10,000 messages/mo. - Source: dev.to / 5 months ago
Knock is a developer tool for building cross-channel notification systems. You can use it to add in-app notifications to your app with pre-built components to get you started quickly, but the power comes from integrating in-app and out-of-app channels such as email, push, SMS, and Slack. You can build workflows for these notifications so the right messages are sent via the right channels to the right users at the... - Source: dev.to / 9 months ago
As an aside, we used Knock here as a way to quickly integrate the transactional email service, build an email template, and send a test email through each service, without needing to write service-specific integration code. Knock can also take care of managing our email templates, giving us cross-provider analytics, and sending cross-channel notifications to other in-app and out-of-app channels like push, SMS, and... - Source: dev.to / 9 months ago
Knock - Manages our user notification infrastructure + Slackbot, so we don't end up sending out 10 emails for batch events (like comments). Source: about 1 year 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 / 30 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 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
MagicBell - Your app needs a notification inbox – with real-time sync, web & mobile push, and a UI that matches your brand.
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.
SuprSend - Single Notification API for Every Channel (SMS, Slack, Whatsapp, Email, SMS, Push, App Inbox)
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Courier - Courier is a notification API built for developers. Design once, and deliver to any channel – email, Slack, SMS, push, and more – all through a single API.
Make.com - Tool for workflow automation (Former Integromat)