Apache Spark is an open-source, distributed computing system designed for big data processing and analytics, offering an alternative to traditional MapReduce models with improved performance and ease of use. It provides a unified analytics engine capable of handling large-scale data processing tasks efficiently by leveraging in-memory computation and a resilient distributed dataset (RDD) framework. Spark supports a variety of programming languages such as Java, Scala, Python, and R, enabling developers to build sophisticated data pipelines with ease. Additionally, it integrates seamlessly with a variety of data sources like Hadoop Distributed File System (HDFS), Apache HBase, and Apache Cassandra, among others. The ecosystem includes libraries for SQL (Spark SQL), streaming data (Spark Streaming), machine learning (MLlib), and graph processing (GraphX), making it highly versatile in addressing a wide range of data processing and analytic workloads across various industries. For application developers, Apache Spark provides the tools to scale applications efficiently and handle complex data transformations, ultimately enabling faster insights from data-intensive applications.
View the most prominent open source Apache Spark projects in the list below. Click on a specific project to view its alternative or complementary packages. Make comparisons and find the best package for your app.
- Apache Spark - A unified analytics engine for large-scale data processing☆40,704Updated this week
- Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce,…☆27,978Updated 11 months ago
- Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.☆29,341Updated this week
- Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.☆27,045Updated this week
- Learn and understand Docker&Container technologies, with real DevOps practice!☆25,233Updated 2 months ago
- 大数据入门指南☆16,239Updated last year
- GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.☆15,386Updated this week
- List of Data Science Cheatsheets to rule the world☆14,976Updated 7 months ago
- flink learning blog. http://www.54tianzhisheng.cn/ 含 Flink 入门、概念、原理、实战、性能调优、源码解析等内容。涉及 Flink Connector、Metrics、Library、DataStream API、Ta…☆14,686Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,414Updated last month
- 【大厂面试专栏】一份Java程序员需要的技术指南，这里有面试题、系统架构、职场锦囊、主流中间件等，让你成为更牛的自己！☆14,364Updated last year
- Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and …☆13,848Updated last week
- Apache Doris is an easy-to-use, high performance and unified analytics database.☆13,307Updated this week
- 专注大数据学习面试，大数据成神之路开启。Flink/Spark/Hadoop/Hbase/Hive...☆9,988Updated last year
- 🧙 Build, run, and manage data pipelines for integrating and transforming data.☆8,184Updated last week
- An open-source storage framework that enables building a Lakehouse architecture with compute engines including Spark, PrestoDB, Flink, Tr…☆7,865Updated this week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,062Updated this week
- Python SQL Parser and Transpiler☆7,279Updated this week
- Alluxio, data orchestration for analytics and machine learning in the cloud☆6,948Updated 3 weeks ago
- A Flexible and Powerful Parameter Server for large-scale machine learning☆6,750Updated last year
- Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.☆6,467Updated last month
- macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime …☆6,163Updated 2 years ago
- Simple and Distributed Machine Learning☆5,111Updated this week
- PipelineAI☆4,172Updated 10 months ago
- State of the Art Natural Language Processing☆3,936Updated this week
- TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.☆3,875Updated last year
- cube studio开源云原生一站式机器学习/深度学习/大模型AI平台，支持sso登录，大数据平台对接，notebook在线开发，拖拉拽任务流pipeline编排，多机多卡分布式训练，超参搜索，推理服务VGPU，边缘计算，标注平台，自动化标注，大模型微调，vllm大模型推…☆4,042Updated 3 weeks ago
- The Hunting ELK☆3,805Updated 9 months ago
- A better compressed bitset in Java: used by Apache Spark, Netflix Atlas, Apache Pinot, Tablesaw, and many others☆3,622Updated last month
- 酷玩 Spark: Spark 源代码解析、Spark 类库等☆3,470Updated 2 years ago
- 🔨 用 JSON 来生成结构化的 SQL 语句，基于 Vue3 + TypeScript + Vite + Ant Design + MonacoEditor 实现，项目简单（重逻辑轻页面）、适合练手~☆3,429Updated last year
- Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.☆3,374Updated last week
- Apache Linkis builds a computation middleware layer to facilitate connection, governance and orchestration between the upper applications…☆3,343Updated this week
- Interactive and Reactive Data Science using Scala and Spark.☆3,148Updated last year
- DataSphereStudio is a one stop data application development& management portal, covering scenarios including data exchange, desensitizati…☆3,134Updated last week
- Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.☆2,878Updated this week
- REST job server for Apache Spark☆2,835Updated 2 months ago
- 大数据学习，从零开始学习大数据，包含大数据学习各阶段学习视频、面试资料☆2,838Updated this week
- LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data…☆2,633Updated this week