Workflow Libraries

With Dagster, you declare—as Python functions—the data assets that you want to build. Dagster then helps you run your functions at the right time and keep your assets up-to-date. Here is an example o…

StackStorm is a platform for integration and automation across services and tools. It ties together your existing infrastructure and application environment so you can more easily automate that envir…

There are many ways to get involved in Flyte, including: Flyte is available under the Apache License 2.0. Use it wisely.

A simple YAML API to get started quickly, a powerful Python API for total flexibility. Automatically cache your pipeline’s previous results and only re-compute tasks that have changed since your last…

Viewflow is a low-code, reusable component library for creating comprehensive business applications with ease. Built on top of Django, Viewflow simplifies development by providing pre-built component…

Wooey is a simple web interface to run command line Python scripts. Think of it as an easy way to get your scripts up on the web for routine data analysis, file processing, or anything else. Wooey wa…

a workflow engine base on django README in English: 基于django的工作流引擎系统(通过http接口调用，可以作为企业内部统一的工作流引擎，提供诸如权限申请、资源申请、发布申请、请假、报销、it服务等所有工作流场景的服务),如果有一定的开发能力建议只使用后端引擎功能，前端根据场景定制开发可分散于各个内部后台管理系统(如人事、运维、监控、cmd…

Sooty is a tool developed with the task of aiding SOC analysts with automating part of their workflow. One of the goals of Sooty is to perform as many of the routine checks as possible, allowing the …

This documentation is intended as a reference for app and workflow developers as well as project contributors and operators. Here you will find walkthroughs, tutorials and other useful information ab…

Machine Learning is a branch of Artificial Intelligence dedicated at making machines learn from observational data without being explicitly programmed. Machine learning and AI are not the same. Machi…

MLRun is an open MLOps platform for quickly building and managing continuous ML applications across their lifecycle. MLRun integrates into your development and CI/CD environment and automates the del…

All the Observers can store their state in databases (Sqlite, Postgres, MySQL, etc.), making Obsei suitable for scheduled jobs or serverless applications. Install the following (if not present alread…

PiML (or π-ML, /ˈpaɪ·ˈem·ˈel/) is a new Python toolbox for interpretable machine learning model development and validation. Through low-code interface and high-code APIs, PiML supports a growing list…

  Covalent is a Pythonic workflow tool for computational scientists, AI/ML software engineers, and anyone who needs to run experiments on limited or expensive computing resources including quantum co…

I decided to move to my own fresh Lua based Neovim from my good old vimrc trying to accomplish the following principles. 💡 Due to installing required tools like LSPs, CLI apps, etc. the image is appr…

Odin is a programmable, observable and distributed job orchestration system which allows for the scheduling, management and unattended background execution of user created tasks on Linux based system…

This book teaches you how to take machine learning models from your personal laptop to large distributed clusters. You’ll explore key concepts and patterns behind successful distributed machine learn…

A python package with helper tools for the nf-core community. Alternatively, you can create a new environment with both nf-core/tools and nextflow: You can use this container on the command line as f…

Main features: The trick here is that all the processing actions are lazy. They are not executed until their results are needed, e.g. when you request a preprocessed batch: or or Please cite BatchFlo…

Sheets only go so far, with a StarThinker running, the ad operations team can operate on larger data sets, scale solutions across clients fast, and even automate campaign controls. All using a drag a…

AIFlow is an event-based workflow orchestration platform that allows users to programmatically author and schedule workflows with a mixture of streaming and batch tasks. Most existing workflow orches…

With Entangle you can run simple, hardware parallelized code with conditional logic that looks like this. or train two AI models in parallel using tensorflow container utilizing dedicated CPU and GPU…

Docker image with Terraform, Terragrunt, Go, Python, Make, Docker, Git, and all needed components to easily manage cloud infrastructure for CI/CD environments as a runner image. Tag of the image tell…

Command-line tool to manage the Todo lists of your projects If you use several Python versions on your computer, create a virtual environment with the Python 3 interpreter: Activate the new environme…

Luigi-Warehouse adds example workflows (i.e. replicating postgresql tables to redshift) more data sources We currently use slack or email for job status notifications which can easily be added Use th…

Alfred workflow for opening your JetBrains IDEs projects Support for older IDE versions is not guaranteed. Open Alfred and type keyword for your IDE (see Supported IDEs above). Workflow will display …