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Updated
Jul 31, 2020 - JavaScript
Build powerful pipelines in any programming language.
Jenkins X provides automated CI+CD for Kubernetes with Preview Environments on Pull Requests using Tekton, Knative, Lighthouse, Skaffold and Helm
Declarative continuous deployment for Kubernetes.
A Python library that implements software engineering best-practice for data and ML pipelines.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Always know what to expect from your data.
Accelerated DL R&D
Python library for creating data pipelines with chain functional programming
A lightweight opinionated ETL framework, halfway between plain scripts and Apache Airflow
System for containerized apps management. From build to scaling.
An R-focused pipeline toolkit for reproducibility and high-performance computing
A DSL for data-driven computational pipelines
MLBox is a powerful Automated Machine Learning python library.
A full-stack DevOps on AWS framework
For extensive instructor led learning
An n:m message multiplexer written in Go
A Julia machine learning framework
PyTorch extensions for fast R&D prototyping and Kaggle farming
Robust, flexible and resource-efficient pipelines using Go and the commandline
Data intensive science for everyone.
A scalable, efficient, cross-platform (Linux/macOS) and easy-to-use workflow engine in pure Python.
A library adding some anti-Pythonic syntatic sugar to Python
a library to define a continuous delivery pipeline in code
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