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Apache Airflow is a community-created platform for programmatically authoring, scheduling, and monitoring workflows. It’s much easier to do all these things when workloads are defined as code. They become more versionable, testable, maintainable and collaborative. With Airflow you can author workflows as directed acyclic graphs (DAGs) of tasks. This means that your tasks are executed on an array of workers while following the specified dependencies. And with rich command line utilities in place, performing complex surgeries on DAGs is simple and straightforward. ...

...It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic.

Use the power of AI to build your personal knowledge base + automated workflow. No programming, just dragging to create a strong workflow and automate all tasks. Vector vein is affected LangChain as well as langflow The uncode AI workflow software developed by the inspiration aims to combine the powerful capabilities of large language models and allow users to realize the intelligibility and automation of various daily workflows through simple drag. After the software is opened normally, click on the set button. ...

a workflow engine base on django The django-based workflow engine system (called through the http interface, can be used as a unified workflow engine within the enterprise, providing all workflows such as permission application, resource application, release application, leave, reimbursement, it service, etc. Scenario services), if there is a certain development capability, it is recommended to use only the back-end engine function, and the front-end customized development according to the scenario can be dispersed in various internal background management systems (such as personnel, operation and maintenance, monitoring, cmdb, etc.). ...

...Ratnode's colorful displays provide accurate "work in process" prioritization and cartoon-like icons make the usual drudgery of ticket and process tracking a tolerable feat for the Homo Ludens in all of us. In other words - The world's first ticket system that is actually nice to use.

...It has no business engine, instead it generates Python code and leaves the engine mechanics to its scripting engine. This enables it to: * be very flexible * be truly multi-platform * draw from all the features available to the language and its sprawling ecosystem * partake in that ecosystem as a library. It has a strong focus on ease of use and low maintenance. Anyone should be able to get started with minimal outside(consultants) help and quickly get the system working. Note : Its sibling projects, QAL (https://sf.net/p/qal)