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lonely7345's Projects

oryx icon oryx

Oryx 2: Lambda architecture on Spark, Kafka for real-time large scale machine learning

palo icon palo

Palo，the MPP data warehouse

pedis icon pedis

NoSQL data store using the SEASTAR framework, compatible with Redis

phonedata icon phonedata

手机号码归属地信息库、手机号归属地查询 phone.dat 最后更新：2018年2月

pinpoint icon pinpoint

Pinpoint is an open source APM (Application Performance Management) tool for large-scale distributed systems written in Java.

poseidon icon poseidon

A search engine which can hold 100 trillion lines of log data.

powerjob icon powerjob

新一代分布式任务调度与计算框架，支持CRON、API、固定频率、固定延迟等调度策略，提供工作流来编排任务解决依赖关系，使用简单，功能强大，文档齐全，欢迎各位接入使用！

predictionio icon predictionio

PredictionIO, a machine learning server for developers and ML engineers. Built on Apache Spark, HBase and Spray.

presto icon presto

分布式大数据SQL查询引擎，适用于交互式分析查询

purezhihud icon purezhihud

基于RxJava+Retrofit+OkHttp实现的纯净知乎日报客户端

qlexpress icon qlexpress

QLExpress is a powerful, lightweight, dynamic language for the Java platform aimed at improving developers’ productivity in different business scenes.

rawsocket icon rawsocket

TCP and IP implementation with Raw Socket (Ubuntu 12.0 compatible)

razor icon razor

Cobub Razor - Open Source Mobile Analytics Solution

redash icon redash

Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

research icon research

comma.ai for the people to experiment with

rpcx icon rpcx

rpcx is a distributed RPC service framework based net/rpc like alibaba Dubbo and weibo Motan. Implemented by Go

saiku icon saiku

saiku analytics - the worlds greatest open source OLAP browser

satori icon satori

Satori 是一个 LeanCloud 维护的监控系统，inspired by Open-Falcon

scriptis icon scriptis

Scriptis is for interactive data analysis with script development(SQL, Pyspark, HiveQL), task submission(Spark, Hive), UDF, function, resource management and intelligent diagnosis.

seaweedfs icon seaweedfs

SeaweedFS is a simple and highly scalable distributed file system. There are two objectives: to store billions of files! to serve the files fast! Instead of supporting full POSIX file system semantics, SeaweedFS choose to implement only a key~file mapping. Similar to the word "NoSQL", you can call it as "NoFS".

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