Use standard Python features to create your workflows, including date time formats for scheduling and loops to dynamically generate tasks. This allows you to maintain full flexibility when building your workflows.

Ryven lets you use the more diagram-like, dataflow inspired structure to represent data processing-centric functionality. Each node runs code, and Ryven provides a simple framework to create those and an editor to use them. Use cases range almost through the whole Python domain, from IoT, over machine learning, generative engineering, Raspberry ...

Mar 28, 2023 · To this end, Civis is excited to introduce async-graph-data-flow, our new open-source Python library for executing asynchronous functions that pass data along a directed acyclic graph.

Dapr Workflows - Author and execute durable & long-running Workflow-as-code at scale in Python, Javascript, .NET, Java & Go. Based on the Open-source Durable Task Framework. Didact - The open source .NET job orchestrator. DigDag - Digdag is a simple tool that helps you to build, run, schedule, and monitor complex pipelines of tasks.

Autosubmit - An open source Python experiment and workflow manager used to manage complex workflows on Cloud and HPC platforms. AWE - Workflow and resource management system with CWL support. Balsam - Python-based high throughput task and workflow engine. Bds - Scripting language for data pipelines.

Pythonflow: Dataflow programming for python. Pythonflow is a simple implementation of dataflow programming for python. Users of Tensorflow will immediately be familiar with the syntax. At Spotify, we use Pythonflow in data preprocessing pipelines for machine learning models because.

You can use CodeQL to track the flow of data through a Python program to places where the data is used. This article describes how data flow analysis is implemented in the CodeQL libraries for Python and includes examples to help you write your own data flow queries.

Metaflow is a human-friendly Python library that makes it straightforward to develop, deploy, and operate various kinds of data-intensive applications, in particular those involving data science, ML, and AI.

Pythonflow is a simple implementation of dataflow programming for python. Users of Tensorflow will immediately be familiar with the syntax. At Spotify, we use Pythonflow in data preprocessing pipelines for machine learning models because. it allows us to distribute data preprocessing across multiple machines.

Mar 26, 2025 · We've built an SDK for building DAGs / data pipelines with LLMs in Apache Airflow [1] using Pydantic AI [2] under the hood. I've seen success across the board with Airflow users building simple LLM workflows before moving on to "AI agents".