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2. Pegasus (workflow management) - Wikipedia

   en.wikipedia.org/wiki/Pegasus_(workflow_management)

   Pegasus is an open-source workflow management system. [1] [2] [3] It provides the necessary abstractions for scientists to create scientific workflows [4] and allows for transparent execution of these workflows on a range of computing platforms including high performance computing clusters, clouds, and national cyberinfrastructure.

3. List of free and open-source software packages - Wikipedia

   en.wikipedia.org/wiki/List_of_free_and_open...

   This is a list of free and open-source software (FOSS) packages, computer software licensed under free software licenses and open-source licenses. Software that fits the Free Software Definition may be more appropriately called free software ; the GNU project in particular objects to their works being referred to as open-source . [ 1 ]

4. List of collaborative software - Wikipedia

   en.wikipedia.org/wiki/List_of_collaborative_software

   This list is divided into proprietary or free software, and open source software, with several comparison tables of different product and vendor characteristics. It also includes a section of project collaboration software, which is a standard feature in collaboration platforms.

5. Workflow application - Wikipedia

   en.wikipedia.org/wiki/Workflow_application

   Workflow applications can be developed using a graphical designer, a programming language, or a combination of both. Some software products provide a means to create workflow applications with a diagram-based graphical designer alone. These types of systems rely on the ability to capture all relevant information for the work

6. How To Close a Bank Account: Your 2023 Guide - AOL

   www.aol.com/finance/close-bank-account-2023...

   2. Time Your Account Closing. Allow a month to transition from your old account to the new one. In the meantime, keep some money in the old account in case you overlooked a bill or had a lag in a ...

7. Apache Airflow - Wikipedia

   en.wikipedia.org/wiki/Apache_Airflow

   Airflow uses directed acyclic graphs (DAGs) to manage workflow orchestration. Tasks and dependencies are defined in Python and then Airflow manages the scheduling and execution. DAGs can be run either on a defined schedule (e.g. hourly or daily) or based on external event triggers (e.g. a file appearing in Hive [5]).