ScipipeRobust, flexible and resource-efficient pipelines using Go and the commandline
Stars: ✭ 826 (+429.49%)
GalaxyData intensive science for everyone.
Stars: ✭ 812 (+420.51%)
Drake ExamplesExample workflows for the drake R package
Stars: ✭ 57 (-63.46%)
MachineMachine is a workflow/pipeline library for processing data
Stars: ✭ 78 (-50%)
PrefectThe easiest way to automate your data
Stars: ✭ 7,956 (+5000%)
DrakeAn R-focused pipeline toolkit for reproducibility and high-performance computing
Stars: ✭ 1,301 (+733.97%)
TargetsFunction-oriented Make-like declarative workflows for R
Stars: ✭ 293 (+87.82%)
Smartflow Sharp基于C#语言研发的Smartflow-Sharp工作流组件,该工作流组件的特点是简单易用、方便扩展、支持多种数据库访问、高度可定制化,支持用户按需求做功能的定制开发,节省用户的使用成本
Stars: ✭ 594 (+280.77%)
TitanoboaTitanoboa makes complex workflows easy. It is a low-code workflow orchestration platform for JVM - distributed, highly scalable and fault tolerant.
Stars: ✭ 787 (+404.49%)
Argo WorkflowsWorkflow engine for Kubernetes
Stars: ✭ 10,024 (+6325.64%)
PipelinePipeline is a package to build multi-staged concurrent workflows with a centralized logging output.
Stars: ✭ 433 (+177.56%)
NipypeWorkflows and interfaces for neuroimaging packages
Stars: ✭ 557 (+257.05%)
ToilA scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
Stars: ✭ 733 (+369.87%)
Production Data ScienceProduction Data Science: a workflow for collaborative data science aimed at production
Stars: ✭ 388 (+148.72%)
NlpplnNLP pipeline software using common workflow language
Stars: ✭ 31 (-80.13%)
Mlj.jlA Julia machine learning framework
Stars: ✭ 982 (+529.49%)
CookiecutterDEPRECIATED! Please use nf-core/tools instead
Stars: ✭ 18 (-88.46%)
XeneA distributed workflow runner focusing on performance and simplicity.
Stars: ✭ 56 (-64.1%)
HyperflowHyperFlow: a scientific workflow engine
Stars: ✭ 53 (-66.03%)
Loonflow基于django的工作流引擎,工单(a workflow engine base on django python)
Stars: ✭ 1,153 (+639.1%)
TheflowWorkflow automation library for .NET
Stars: ✭ 72 (-53.85%)
WorkflowsRun Cloud Native workflows on any environment using Dapr
Stars: ✭ 84 (-46.15%)
ServerThe Prefect API and backend
Stars: ✭ 87 (-44.23%)
BlurrData transformations for the ML era
Stars: ✭ 96 (-38.46%)
ZeebeDistributed Workflow Engine for Microservices Orchestration
Stars: ✭ 2,165 (+1287.82%)
Easy FlowsThe simple, stupid workflow engine for Java
Stars: ✭ 433 (+177.56%)
PdpipeEasy pipelines for pandas DataFrames.
Stars: ✭ 590 (+278.21%)
Django RiverDjango workflow library that supports on the fly changes ⛵
Stars: ✭ 609 (+290.38%)
VistrailsVisTrails is an open-source data analysis and visualization tool. It provides a comprehensive provenance infrastructure that maintains detailed history information about the steps followed and data derived in the course of an exploratory task: VisTrails maintains provenance of data products, of the computational processes that derive these products and their executions.
Stars: ✭ 94 (-39.74%)
NflownFlow is a battle-proven solution for orchestrating business processes. It can be used as microservices orchestrator (Saga-pattern), as business process engine or as persistent finite-state machine.
Stars: ✭ 96 (-38.46%)
PyflowA lightweight parallel task engine
Stars: ✭ 108 (-30.77%)
Steppy ToolkitCurated set of transformers that make your work with steppy faster and more effective 🔭
Stars: ✭ 21 (-86.54%)
VdsVerteego Data Suite
Stars: ✭ 9 (-94.23%)
Jenkins Workflowcontains handy groovy workflow-libs scripts
Stars: ✭ 41 (-73.72%)
Brunch🍴 Web applications made easy. Since 2011.
Stars: ✭ 6,801 (+4259.62%)
River Admin🚀 A shiny admin interface for django-river built with DRF, Vue & Vuetify
Stars: ✭ 55 (-64.74%)
MicrowfA simple finite state machine (FSM) with workflow character where you define your workflows in code.
Stars: ✭ 122 (-21.79%)
AtacseqATAC-seq peak-calling, QC and differential analysis pipeline
Stars: ✭ 72 (-53.85%)
UtaskµTask is an automation engine that models and executes business processes declared in yaml. ✏️📋
Stars: ✭ 374 (+139.74%)
FlyteAccelerate your ML and Data workflows to production. Flyte is a production grade orchestration system for your Data and ML workloads. It has been battle tested at Lyft, Spotify, freenome and others and truly open-source.
Stars: ✭ 1,242 (+696.15%)
SetlA simple Spark-powered ETL framework that just works 🍺
Stars: ✭ 79 (-49.36%)
PipelinexPipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
Stars: ✭ 127 (-18.59%)
NextflowA DSL for data-driven computational pipelines
Stars: ✭ 1,337 (+757.05%)
Kogito ExamplesKogito examples - Kogito is a cloud-native business automation technology for building cloud-ready business applications.
Stars: ✭ 96 (-38.46%)
Petrinet🚥 Petrinet framework for PHP
Stars: ✭ 107 (-31.41%)
MlboxMLBox is a powerful Automated Machine Learning python library.
Stars: ✭ 1,199 (+668.59%)
OpenmoleWorkflow engine for exploration of simulation models using high throughput computing
Stars: ✭ 120 (-23.08%)
SteppyLightweight, Python library for fast and reproducible experimentation 🔬
Stars: ✭ 119 (-23.72%)
SarekDetect germline or somatic variants from normal or tumour/normal whole-genome or targeted sequencing
Stars: ✭ 124 (-20.51%)
Chain.jlA Julia package for piping a value through a series of transformation expressions using a more convenient syntax than Julia's native piping functionality.
Stars: ✭ 118 (-24.36%)
Bodywork CoreDeploy machine learning projects developed in Python, to Kubernetes. Accelerated MLOps 🚀
Stars: ✭ 145 (-7.05%)
PvmBuild workflows, activities, BPMN like processes, or state machines with PVM.
Stars: ✭ 348 (+123.08%)
Piperpiper - a distributed workflow engine
Stars: ✭ 374 (+139.74%)
FlowrRobust and efficient workflows using a simple language agnostic approach
Stars: ✭ 73 (-53.21%)
UgeneUGENE is free open-source cross-platform bioinformatics software
Stars: ✭ 112 (-28.21%)
MicroflowLightweight workflow engine
Stars: ✭ 129 (-17.31%)