Overview
Nextflow is a reactive workflow framework and domain-specific language (DSL) that simplifies the development of complex, data-intensive pipelines. Based on the dataflow programming model, it allows users to write a computational pipeline by connecting together different processes. By design, Nextflow abstracts the execution environment, meaning the same script can run on a local machine, a High-Performance Computing (HPC) cluster using schedulers like Slurm or PBS, or directly in the cloud using AWS Batch, Azure Batch, or Google Cloud Batch. As of 2026, it remains the leading framework for bioinformatics and genomic research due to its 'container-first' approach, where every task is executed within its own Docker, Singularity, or Conda environment to ensure 100% reproducibility. The technical architecture revolves around a Groovy-based engine that handles file staging, task parallelization, and automatic error recovery. Its integration with the nf-core community provides a standardized library of high-quality, peer-reviewed pipelines, solidifying its position as the industry standard for reproducible science and scalable AI/ML data preprocessing.