Awesome Pipeline

A curated list of awesome pipeline toolkits inspired by Awesome Sysadmin

Pipeline frameworks & libraries

• ActionChain - A workflow system for simple linear success/failure workflows.
• Adage - Small package to describe workflows that are not completely known at definition time.
• Airflow - Python-based workflow system created by AirBnb.
• Anduril - Component-based workflow framework for scientific data analysis.
• Antha - High-level language for biology.
• Bds - Scripting language for data pipelines.
• BioMake - GNU-Make-like utility for managing builds and complex workflows.
• BioQueue - Explicit framework with web monitoring and resource estimation.
• Bioshake - Haskell DSL built on shake with strong typing and EDAM support
• Bistro - Library to build and execute typed scientific workflows.
• Bpipe - Tool for running and managing bioinformatics pipelines.
• Briefly - Python Meta-programming Library for Job Flow Control.
• Cluster Flow - Command-line tool which uses common cluster managers to run bioinformatics pipelines.
• Clusterjob - Automated reproducibility, and hassle-free submission of computational jobs to clusters.
• Compss - Programming model for distributed infrastructures.
• Conan2 - Light-weight workflow management application.
• Consecution - A Python pipeline abstraction inspired by Apache Storm topologies.
• Cosmos - Python library for massively parallel workflows.
• Cromwell - Workflow Management System geared towards scientific workflows from the Broad Institute.
• Cuneiform - Advanced functional workflow language and framework, implemented in Erlang.
• Dagobah - Simple DAG-based job scheduler in Python.
• Dagr - A scala based DSL and framework for writing and executing bioinformatics pipelines as Directed Acyclic GRaphs.
• Dagster - Python-based API for defining DAGs that interfaces with popular workflow managers for building data applications.
• Dask - Dask is a flexible parallel computing library for analytics.
• Dockerflow - Workflow runner that uses Dataflow to run a series of tasks in Docker.
• Doit - Task management & automation tool.
• Drake - Robust DSL akin to Make, implemented in Clojure.
• Drake R package - Reproducibility and high-performance computing with an easy R-focused interface. Unrelated to Factual's Drake.
• Dray - An engine for managing the execution of container-based workflows.
• eHive - System for creating and running pipelines on a distributed compute resource.
• Fission Workflows - A fast, lightweight workflow engine for serverless/FaaS functions.
• Flex - Language agnostic framework for building flexible data science pipelines (Python/Shell/Gnuplot).
• Flowr - Robust and efficient workflows using a simple language agnostic approach (R package).
• Gc3pie - Python libraries and tools for running applications on diverse Grids and clusters.
• Guix Workflow Language - A workflow management language extension for GNU Guix
• Gwf - Make-like utility for submitting workflows via qsub.
• HyperLoom - Platform for defining and executing workflow pipelines in large-scale distributed environments.
• Joblib - Set of tools to provide lightweight pipelining in Python.
• Jug - A task Based parallelization framework for Python.
• Kedro - Workflow development tool that helps you build data pipelines.
• Ketrew - Embedded DSL in the OCAML language alongside a client-server management application.
• Kronos - Workflow assembler for cancer genome analytics and informatics.
• Loom - Tool for running bioinformatics workflows locally or in the cloud.
• Longbow - Job proxying tool for biomolecular simulations.
• Luigi - Python module that helps you build complex pipelines of batch jobs.
• Makeflow - Workflow engine for executing large complex workflows on clusters.
• Mara - A lightweight, opinionated ETL framework, halfway between plain scripts and Apache Airflow
• Mario - Scala library for defining data pipelines.
• Martian - A language and framework for developing and executing complex computational pipelines.
• MD Studio - Microservice based workflow engine.
• Mistral - Python based workflow engine by the Open Stack project.
• Moa - Lightweight workflows in bioinformatics.
• Nextflow - Flow-based computational toolkit for reproducible and scalable bioinformatics pipelines.
• NiPype - Workflows and interfaces for neuroimaging packages.
• OpenGE - Accelerated framework for manipulating and interpreting high-throughput sequencing data.
• Pachyderm - Distributed and reproducible data pipelining and data management, built on the container ecosystem.
• Parsl - Parallel Scripting Library.
• PipEngine Ruby based launcher for complex biological pipelines.
• Pinball - Python based workflow engine by Pinterest.
• Prefect Core - Python based workflow engine powering Prefect.
• PyFlow - Lightweight parallel task engine.
• PypeFlow - Lightweight workflow engine for data analysis scripting.
• pyperator - Simple push-based python workflow framework using asyncio, supporting recursive networks.
• pyppl - A python lightweight pipeline framework.
• pypyr - Simple task runner for sequential steps defined in a pipeline yaml, with AWS and Slack plug-ins.
• Pwrake - Parallel workflow extension for Rake.
• Qdo - Lightweight high-throughput queuing system for workflows with many small tasks to perform.
• Qsubsec - Simple tokenised template system for SGE.
• Rabix - Python-based workflow toolkit based on the Common Workflow Language and Docker.
• Rain - Framework for large distributed task-based pipelines, written in Rust with Python API.
• Ray - Flexible, high-performance distributed Python execution framework.
• Reflow - Language and runtime for distributed, incremental data processing in the cloud.
• Remake - Make-like declarative workflows in R.
• Rmake - Wrapper for the creation of Makefiles, enabling massive parallelization.
• Rubra - Pipeline system for bioinformatics workflows.
• Ruffus - Computation Pipeline library for Python.
• Ruigi - Pipeline tool for R, inspired by Luigi.
• Sake - Self-documenting build automation tool.
• SciLuigi - Helper library for writing flexible scientific workflows in Luigi.
• SciPipe - Library for writing Scientific Workflows in Go.
• Scoop - Scalable Concurrent Operations in Python.
• Seqtools - Python library for lazy evaluation of pipelined transformations on indexable containers.
• Snakemake - Tool for running and managing bioinformatics pipelines.
• Spiff - Based on the Workflow Patterns initiative and implemented in Python.
• Stolos - Directed Acyclic Graph task dependency scheduler that simplify distributed pipelines.
• Stpipe - File processing pipelines as a Python library.
• Sundial - Jobsystem on AWS ECS or AWS Batch managing dependencies and scheduling.
• Suro - Java-based distributed pipeline from Netflix.
• Swift - Fast easy parallel scripting - on multicores, clusters, clouds and supercomputers.
• Tibanna Tool that helps you run genomic pipelines on Amazon cloud.
• Toil - Distributed pipeline workflow manager (mostly for genomics).
• Yap - Extensible parallel framework, written in Python using OpenMPI libraries.
• Wallaroo - Framework for streaming data applications and algorithms that react to real-time events.
• WorldMake - Easy Collaborative Reproducible Computing.
• Zenaton - Workflow engine for orchestrating jobs, data and events across your applications and third party services

Workflow platforms

• ActivePapers - Computational science made reproducible and publishable.
• Apache Iravata - Framework for executing and managing computational workflows on distributed computing resources.
• Arteria - Event-driven automation for sequencing centers. Initiates workflows based on events.
• Arvados - A container based workflow platform.
• Biokepler - Bioinformatics Scientific Workflow for Distributed Analysis of Large-Scale Biological Data.
• Butler - Framework for running scientific workflows on public and academic clouds.
• Chipster - Open source platform for data analysis.
• Clubber - Cluster Load Balancer for Bioinformatics e-Resources.
• Digdag - Workflow manager designed for simplicity, extensibility and collaboration.
• Fireworks - Centralized workflow server for dynamic workflows of high-throughput computations.
• Galaxy - Web-based platform for biomedical research.
• Kepler - Kepler scientific workflow application from University of California.
• KNIME Analytics Platform - General-purpose platform with many specialized domain extensions.
• NextflowWorkbench - Integrated development environment for Nextflow, Docker and Reusable Workflows.
• omega|ml DataOps Platform - Data & model pipeline deployment for humans - integrated, scalable, extensible.
• OpenMOLE - Workflow Management System for exploration of models and parameter optimization.
• Ophidia - Data-analytics platform with declarative workflows of distributed operations.
• Pegasus - Workflow Management System.
• Pentaho Kettle - Workflow platform with a graphical design environment.
• Piper - Distributed workflow engine designed to be dead simple.
• Polyaxon - A platform for machine learning experimentation workflow.
• Reana - Platform for reusable research data analyses developed by CERN.
• Sushi - Supporting User for SHell script Integration.
• Yabi - Online research environment for grid, HPC and cloud computing.
• Taverna - Domain independent workflow system.
• VisTrails - Scientific workflow and provenance management system.
• Wings - Semantic workflow system utilizing Pegasus as execution system.
• Watchdog - Workflow management system for the automated and distributed analysis of large-scale experimental data.

Workflow languages

• Common Workflow Language
• Cloudgene Workflow Language
• OpenMOLE DSL
• Workflow Description Language
• Yet Another Workflow Language
• Pipelines

Workflow standardization initiatives

• Workflow 4 Ever Initiative
• Workflow 4 Ever workflow research object model
• Workflow Patterns Initiative
• Workflow Patterns Library
• ResearchObject.org

Literate programming (aka interactive notebooks)

• Beaker Notebook-style development environment.
• Binder - Turn a GitHub repo into a collection of interactive notebooks powered by Jupyter and Kubernetes
• IPython A rich architecture for interactive computing.
• Jupyter Language-agnostic notebook literate programming environment.
• Pathomx - Interactive data workflows built on Python.
• R Notebooks - R Markdown notebook literate programming environment.
• SoS - Readable, interactive, cross-platform and cross-language data science workflow system.
• Zeppelin - Web-based notebook that enables interactive data analytics.

Extract, transform, load (ETL)

• Cadence Distributed, scalable, durable, and highly available orchestration engine developed by Uber.
• LinkedPipes ETL - Linked Data publishing and consumption ETL tool.
• Kiba ETL - A data processing & ETL framework for Ruby.

Application management workflows

• Argo - Get stuff done with container-native workflows for Kubernetes.
• Deis - Workflow system to create and manage applications on Kubernetes.

Build automation tools

• Bazel - Build software just as engineers do at Google.
• DoIt - Highly generalized task-management and automation in Python.
• Gradle - Unified cross platforms builds.
• Scons - Python library focused on C/C++ builds.
• Shake - Define robust build systems akin to GNU Make using Haskell.
• Make - The GNU Make build system.
• Prodmodel - Build system for data science pipelines.

Other projects

• HPC Grid Runner
• noWorkflow - Supporting infrastructure to run scientific experiments without a scientific workflow management system, and still get things like provenance.
• Reprozip - Simplifies the process of creating reproducible experiments from command-line executions.

Related lists

• Awesome streaming - Curated list of awesome streaming frameworks, applications.
• Awesome ETL - Curated list of notable ETL (extract, transform, load) frameworks, libraries and software.
• Computational Data Analysis Workflow Systems

原文：https://github.com/pditommaso/awesome-pipeline

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