Apache Airflow
Make.com
ifttt
Pushwoosh
Pipefy
Microsoft Power Automate
Kissflow
Process Street
Apiframe
PiAPI AI
Apiframe.ai is a unified, developer-oriented REST API that lets teams access multiple AI media-generation models (image, video, music/audio, and headshots) through one integration, instead of integrating each vendor separately.
Key features:
Multi-model access via one API (e.g., Midjourney, Luma, Suno, and others) with a consistent integration approach.
Webhook-native / async workflow: receive status updates and final results via a webhookurl, with optional webhooksecret validation (sent as x-webhook-secret).
Automation integrations (site highlights Zapier, Make, Pipedream, n8n) for trigger-based generation, batch processing, and multi-step workflows.
SDK support: official Node.js SDK is documented (and linked to npm).
Get started with the free plan.
Apache Airflow ApiframeApache Airflow is recommended for data engineers, data scientists, and IT professionals who need to automate and manage workflows. It is particularly suited for organizations handling large-scale data processing tasks, requiring integration with various systems, and those looking to deploy machine learning pipelines or ETL processes.
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Based on our record, Apache Airflow seems to be more popular. It has been mentiond 80 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.
General orchestrators โ Airflow, Prefect, AWS Step Functions, Azure Logic Apps. These treat Each LLM call as just another task in a DAG, and give you the heavyweight reliability Machinery: durable state, scheduling, checkpointing, audit trails, human approval. - Source: dev.to / about 1 month ago
There is a lot of stuff for Python which follows the "express computation as a dag" approach, especially Apache Airflow https://airflow.apache.org/. - Source: Hacker News / 11 months ago
Doing ingestion or data processing with Airflow, a very popular open-source platform for developing and running workflows, is a fairly common setup. DataHub's automatic lineage extraction works great with Airflow - provided you configure the Airflow connection to DataHub correctly. - Source: dev.to / 12 months ago
Apache Airflow represents the open-source workflow orchestration approach to MongoDB ETL. By combining Airflow's powerful scheduling and dependency management with a Python library like PyMongo, you can build highly customized ETL workflows that integrate seamlessly with MongoDB. - Source: dev.to / about 1 year ago
You appear to be making the mistake of assuming that the only valid definition for the term "workflow" is the definition used by software such as https://airflow.apache.org/ https://www.merriam-webster.com/dictionary/workflow thinks the word dates back to 1921. There no reason Anthropic can't take that word and present their own alternative definition for it in the context of LLM tool usage, which is what they've... - Source: Hacker News / about 1 year ago
Make.com - Tool for workflow automation (Former Integromat)
PiAPI AI - PiAPI provides AI APIs including Midjourney API, Suno API, Faceswap API, and even the newest Dream Machine API!
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Pushwoosh - Mobile-inspired customer engagement platform for high achievers
Pipefy - Pipefy is a process management software that empowers anyone to create and automate efficient workflows on their own without code.
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.