Apache Airflow
Make.com
ifttt
Pushwoosh
Pipefy
Microsoft Power Automate
Kissflow
Process Street
Process Oak
Process Street
Tallyfy
Manifestly
Flowingly
Kissflow
Pipefy
Tra.cy
Process Oak is a recurring process manager for teams of 10 to 50.
Projects have plenty of tools. Recurring work is what sneaks up on you: a lease that renews for three years, a leaver whose accounts stay active, a trial employment that quietly becomes permanent. Done on time, these cost almost nothing. Missed, they get very expensive.
You draw a process as a graph, with parallel branches and joins rather than a flat checklist. Steps get owners, and due dates that count in working days against the company calendar, so a two-day deadline doesn't land on a Sunday. Every action is logged, so you can see who did what and when.
Processes run on a schedule, like monthly payroll or a quarterly access audit, or start on demand when someone is hired or leaves.
Free plan, no credit card. Pro is 24 EUR per user per month.
Apache Airflow
Process OakApache 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 / 28 days 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 / 10 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)
Process Street - Create beautiful rich process documents in a simple to follow checklist format. Fast, free and incredibly simple to use.
ifttt - IFTTT puts the internet to work for you. Create simple connections between the products you use every day.
Tallyfy - Cloud workflow and BPM made easy
Pushwoosh - Mobile-inspired customer engagement platform for high achievers
Manifestly - Improve the repeatability and accountability of your recurring workflows and processes.