macrozheng/mall
The mall project is a set of e-commerce systems, including the front-end mall system and the back-end management system, implemented based on SpringBoot+MyBatis, and deployed in Docker containers.
Language: Java
Total stars: 65090
Stars trend:
23 Apr 2023
#java
#docker, #elasticsearch, #elk, #java, #mongodb, #mybatis, #mysql, #rabbitmq, #redis, #spring, #springboot, #springcloud, #springsecurity, #springboot, #springcloud, #swaggerui
The mall project is a set of e-commerce systems, including the front-end mall system and the back-end management system, implemented based on SpringBoot+MyBatis, and deployed in Docker containers.
Language: Java
Total stars: 65090
Stars trend:
23 Apr 2023
1am ▍ +3 2am ▏ +1 3am +0 4am ▏ +1 5am ▏ +1 6am ▎ +2 7am ▏ +1 8am ▍ +3 9am ███▉ +3110am ███████▌ +6011am ████▊ +3812pm ████▌ +36#java
#docker, #elasticsearch, #elk, #java, #mongodb, #mybatis, #mysql, #rabbitmq, #redis, #spring, #springboot, #springcloud, #springsecurity, #springboot, #springcloud, #swaggerui
airtai/faststream
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Language:Python
Total stars: 2800
Stars trend:
#python
#asyncapi, #asyncio, #distributedsystems, #fastkafka, #faststream, #kafka, #nats, #propan, #python, #rabbitmq, #redis, #streamprocessing
FastStream is a powerful and easy-to-use Python framework for building asynchronous services interacting with event streams such as Apache Kafka, RabbitMQ, NATS and Redis.
Language:Python
Total stars: 2800
Stars trend:
29 Oct 2024
9am ▍ +3
10am ▏ +1
11am █▎ +10
12pm █ +8
1pm ▉ +7
2pm █▎ +10
3pm █▌ +12
4pm █ +8
5pm █ +8
6pm █▎ +10
7pm █▎ +10
8pm █▋ +13#python
#asyncapi, #asyncio, #distributedsystems, #fastkafka, #faststream, #kafka, #nats, #propan, #python, #rabbitmq, #redis, #streamprocessing
hookdeck/outpost
Open Source Outbound Webhooks and Event Destinations Infrastructure
Language:Go
Total stars: 186
Stars trend:
#go
#amazoneventbridge, #awssqs, #eventdestinations, #eventstream, #gcppubsub, #hookdeck, #rabbitmq, #redis, #webhooks, #webhooksender
Open Source Outbound Webhooks and Event Destinations Infrastructure
Language:Go
Total stars: 186
Stars trend:
6 May 2025
11am ▏ +1
12pm ▍ +3
1pm ██▍ +19
2pm █▏ +9
3pm ██▍ +19
4pm ██ +16
5pm █▍ +11
6pm ▉ +7
7pm ▌ +4
8pm ▍ +3
9pm ▌ +4
10pm ▊ +6#go
#amazoneventbridge, #awssqs, #eventdestinations, #eventstream, #gcppubsub, #hookdeck, #rabbitmq, #redis, #webhooks, #webhooksender
panaversity/learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Language:Jupyter Notebook
Total stars: 1645
Stars trend:
#jupyternotebook
#a2a, #agenticai, #dapr, #daprpubsub, #daprserviceinvocation, #daprsidecar, #daprworkflow, #docker, #kafka, #kubernetes, #langmem, #mcp, #openai, #openaiagentssdk, #openaiapi, #postgresqldatabase, #rabbitmq, #rancherdesktop, #redis, #serverlesscontainers
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Language:Jupyter Notebook
Total stars: 1645
Stars trend:
11 May 2025
1am █ +8
2am ▍ +3
3am ▊ +6
4am █▎ +10
5am █ +8
6am █▏ +9
7am ▊ +6
8am ▉ +7
9am █▋ +13
10am █▍ +11
11am ▉ +7
12pm █▌ +12#jupyternotebook
#a2a, #agenticai, #dapr, #daprpubsub, #daprserviceinvocation, #daprsidecar, #daprworkflow, #docker, #kafka, #kubernetes, #langmem, #mcp, #openai, #openaiagentssdk, #openaiapi, #postgresqldatabase, #rabbitmq, #rancherdesktop, #redis, #serverlesscontainers
panaversity/learn-agentic-ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Language:Jupyter Notebook
Total stars: 2393
Stars trend:
#jupyternotebook
#a2a, #agenticai, #dapr, #daprpubsub, #daprserviceinvocation, #daprsidecar, #daprworkflow, #docker, #kafka, #kubernetes, #langmem, #mcp, #openai, #openaiagentssdk, #openaiapi, #postgresqldatabase, #rabbitmq, #rancherdesktop, #redis, #serverlesscontainers
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
Language:Jupyter Notebook
Total stars: 2393
Stars trend:
22 May 2025
7am ▎ +2
8am ▏ +1
9am +0
10am ▊ +6
11am ▍ +3
12pm █▏ +9
1pm █▏ +9
2pm ██▏ +17
3pm █ +8
4pm █ +8
5pm ▊ +6
6pm █▎ +10#jupyternotebook
#a2a, #agenticai, #dapr, #daprpubsub, #daprserviceinvocation, #daprsidecar, #daprworkflow, #docker, #kafka, #kubernetes, #langmem, #mcp, #openai, #openaiagentssdk, #openaiapi, #postgresqldatabase, #rabbitmq, #rancherdesktop, #redis, #serverlesscontainers