A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
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Updated
Sep 17, 2024 - Python
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Lightweight function pipeline (DAG) creation in pure Python for scientific workflows 🕸️🧪
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Hub for Obyte network
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A high performance Python graph library implemented in Rust.
【A common used C++ DAG framework】 一个通用的、无三方依赖的、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 & 交流
An API for cross-platform custom orchestration of execution steps without any third-party dependencies. Based on DAG, it implements the scheduling function of sequential execution of dependent steps and concurrent execution of non-dependent steps.
Workflow Engine for Kubernetes
A scalable inference server for models optimized with OpenVINO™
A distributed, fault-tolerant task queue
Iris is an extensible asynchronous header-only framework written in pure modern C++, including a M:N task scheduler (with coroutine support for C++ 20 optionally) and an advanced DAG-based task dispatcher.
🚀 JavaScript diagramming library that uses SVG and HTML for rendering.
🚀 The Mixin TEE-BFT-DAG network reference implementation.
【Go DAG Schedule Framework】A simple way to build a pipeline with Go.
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