redun
redun improves workflow flexibility and efficiency with Python, overcoming traditional dataflow constraints. It uses lazy expressions under a scheduler for parallel execution, caching, and data tracking. Compatible with environments like AWS Batch and Spark, it supports incremental computation, code and data change monitoring, and cached result reuse, suitable for complex data tasks in bioinformatics and data science.
