Workflow engine for Kubernetes
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Updated
Jun 3, 2023 - Go
Workflow engine for Kubernetes
Build data pipelines, the easy way
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
A series of DAGs/Workflows to help maintain the operation of Airflow
Taier is a big data development platform for submission, scheduling, operation and maintenance, and indicator information display
Powerful workflow engine and end-to-end pipeline solutions implemented with native Kubernetes resources. https://cyclone.dev
Compilation of useful documents and scientific papers about Blockchain & cryptocurrencies.
A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
A flexible, high-performance carrier for machine learning models(『飞桨』服务化部署框架)
【A simple C++ DAG framework】 一个简单好用的、无任何三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。欢迎star & fork
A scalable general purpose micro-framework for defining dataflows. You can use it to build dataframes, numpy matrices, python objects, ML models, etc. Embed Hamilton anywhere python runs, e.g. spark, airflow, jupyter, fastapi, python scripts, etc. Comes with lineage out of the box.
Go Implementation of the Spacemesh protocol full node.
Use C Api and Swig to Speed up jieba 高效的中文分词库
A scalable inference server for models optimized with OpenVINO™
A high performance Python graph library implemented in Rust.
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