数据工程 · 库

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...

来源

GitHub

语言

Java

领域

数据工程

With dbt, data analysts and engineers can build analytics the way engineers build applications.

来源

PyPI

领域

数据工程

High-performance AI pipeline engine with a C++ core and 50+ Python-extensible nodes. Build, debug, and scale LLM workflows with 13+ model providers, 8+ vector databases, and agent orchestration, all from your IDE. Includes VS Code extension, TypeScript/Python SDKs, and Docker deployment.

来源

GitHub

语言

Python

领域

数据工程

用途

检索增强生成（RAG）, 工作流

Programmatically author, schedule and monitor data pipelines

来源

PyPI

领域

数据工程

用途

工作流

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

来源

GitHub

语言

Python

领域

数据工程, Rust

Blazingly fast DataFrame library

来源

PyPI

领域

数据工程

LakeSoul is an end-to-end, realtime cloud-native Lakehouse framework for fast data ingestion, concurrent updates, incremental analytics, multimodal data processing and vector search — powering next-generation BI and AI workloads.

来源

GitHub

语言

Rust

领域

数据工程

用途

检索增强生成（RAG）