Truepush, a web push notification service for web and mobile, was launched in 2019 with a motto to provide a free customer engagement platform like push notifications. With a short span of 18 months, the brand is successfully serving over 30,000+ marketers/ developers and is growing big and strong in the SaaS marketplace.
This Push Notifications tool has received enormous applause in the SaaS space, along with the excellent feedback from its customers. Truepush provides rich features like RSS-to-Push, Audience Segmentation, Triggers, Batches, etc. for free, which are generally paid on the other push platforms.
Along with receiving good feedbacks and global acceptance, Truepush has also won many awards that include 'High Performers Summer-2020' and 'High Performers Spring-2020' by G2, 'Fastest Growing and Most Searched Software' under the Push Notifications category by SaaSworthy, 'Rising Star Award - 2019' and 'Premium Usability Award - 2019' by FinancesOnline. As per BuiltWith, it is the '7th Most Popular Push Notifications Service in India'.
Truepush has a free WordPress plugin and a free Shopify plugin.
No features have been listed yet.
Based on our record, Apache Airflow seems to be more popular. It has been mentiond 68 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.
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
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