Sign in

Compare repositories

This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 19, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 19, 2026 to Nov 14, 2026, each from zero050100May 19Nov 14, 2026AutohomeCorp/frostmournezhisheng17/flink-learning
Stars: The star count at the end of each dayStarsThe star count at the end of each day10KApr 25Nov 14, 2026AutohomeCorp/frostmournezhisheng17/flink-learning

Facts

Fact AutohomeCorp/frostmourne

Frostmourne(霜之哀伤监控平台)是基于Elasticsearch, Prometheus, SkyWalking, InfluxDB,Mysql/TiDB,ClickHouse, SqlServer, IoTDB数据的分布式监控报警系统. Monitor & alert & alarm for Elasticsearch,Prometheus data。主要使用springboot2 + vue-element-admin

zhisheng17/flink-learning

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、Table API & SQL 等内容的学习案例,还有 Flink 落地应用的大型项目案例(PVUV、日志存储、百亿数据实时去重、监控告警)分享。欢迎大家支持我的专栏《大数据实时计算引擎 Flink 实战与性能优化》

Stars 1,49615,106
Net stars, last 30 days +3+12
Largest star day +1 on May 28, 2026+4 on Jun 15, 2026
Milestone reached in the record NoneNone
Forks 3183,914
Language JavaJava
License MITAPACHE-2.0
Created Dec 16, 2019Jan 1, 2019
Last push Apr 17, 2026May 6, 2026
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks
Health facts: Releases 0 of 3 checks (1 without data)0 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks
Commits, last 13 weeks No data0
Weeks with commits, last 52 No data1 of 52
In the Repository Index since Nov 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: elasticsearch, influxdb, clickhouse. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone. AwesomeRepos does not add them into one score. How each check is defined

Example: oven-sh/bun, denoland/deno, nodejs/node