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数据 · GitHub

比较数据库、数据分析、SQL 与数据工程项目。

实用 GitHub 项目

4,876 个项目

ant

skudra-go

26星标

🐜 ant is a Golang ORM, that leverages modern generics to enable strict typing and incredible developer experience. Inspired by ASP.NET's Entity Framework and Laravel

smart-cloud

smart-cloud

688星标

一站式 Spring Cloud 微服务脚手架 —— 让微服务开发像搭积木一样简单。支持服务合并部署与拆分部署、接口加解密签名、日志数据 脱敏、接口数据mock、接口文档自动生成、请求幂等校验、接口日志&&sql日志切面打印、分表分库分布式事务、国际化语言、接口监控及服务监控等

数据JavaApache-2.0GitHub
747星标

The exploit samples database is a repository for **RCE** (remote code execution) exploits and Proof-of-Concepts for **WINDOWS**, the samples are uploaded for education purposes for red and blue teams.

Neat-URL

Smile4ever

666星标

Neat URL cleans URLs, removing parameters such as Google Analytics' utm parameters.

数据JavaScriptGitHub
934星标

Summer 2027 and off-season tech internships in the US. Software, data and ML, hardware, quant, and product roles, updated regularly.

schemachange

Snowflake-Labs

678星标
schemachange preview

A Database Change Management tool for Snowflake

  • 🔐 Secrets stay secret - Credentials never touch your code repository
  • 🌍 Environment-specific - Same code, different configs for dev/staging/prod
数据PythonApache-2.0GitHub

soda-spark

sodadata

64星标

Soda Spark is a PySpark library that helps you with testing your data in Spark Dataframes

数据PythonApache-2.0GitHub

data-engineering

sophie-nguyenthuthuy

56星标

100+ data engineering projects from scratch — streaming, CDC, table formats, query engines, consensus, governance. 2,500+ tests, mypy strict.

brontes

SorellaLabs

675星标

A blazingly fast general purpose blockchain analytics engine specialized in systematic mev detection

数据RustApache-2.0GitHub
717星标

All projects are based on ☕ Java(Swing.All projects are database(MySql) connected📂 and compatible to run is🖥️ Desktop(with .exe)🖱️.All projects have a Graphical User Interface(GUI)👨🏻‍💻 that user can communicate and understand the application easily).

sparkdq

sparkdq-community

77星标

A lightweight, declarative PySpark framework for data quality validation — check columns, rows, and entire datasets directly in your Spark pipelines

数据PythonApache-2.0GitHub

sparklabx

sparklabx

31星标
sparklabx preview

Self-hosted multi-user Apache Spark notebooks — PySpark + Scala, per-user kernel pods, MinIO IAM storage, OAuth. One Helm install. Apache-2.0.

  • Spark notebooks in the browser — PySpark, Scala (Almond), with Monaco editor, Markdown cells, kernel restart, and a Libraries dialog that wraps spark.jars.packages / import $ivy so users add Maven coordinates without editing code.
  • Embedded Spark UI + DataFlint — open the kernel's Spark Web UI (DAGs, stages, SQL plans, metrics) in-app, no port-forward. DataFlint (a Spark performance plugin) is on by default for PySpark and Scala, adding a performance tab that flags slow stages, skew, and oversized scans.
数据TypeScriptApache-2.0GitHub

play-reactive-slick

spiderveer1-byte

149星标
play-reactive-slick preview

Play + Postgres starter template with a clean UI

  • Play Framework backend with a clean, ready-to-use UI out of the box
  • PostgreSQL wired in via Slick for functional, type-safe database access