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Stream Framework is a Python library, which allows you to build news feed, activity streams and notification systems using Cassandra and/or Redis. The authors of Stream-Framework also provide a cloud service for feed technology:

TranslatedParking lot system source code, new energy charging pile system, parking lot mini program, smart parking, Parking system. [Feature introduction]: ① Compatible with many mainstream cameras on the market; in theory compatible with all hardware, and flexibly extensible. ② After a camera recognizes a plate, the data is automatically uploaded to the cloud and recorded; the camera's unique id and hardware serial number are verified to prevent illegal data entry. ③ Users can check parking record details on their phones and pay fees themselves (supports WeChat, Alipay, and bank interface payment; each parking lot can be assigned a different merchant to collect payments). After payment, the barrier gate lifts automatically on exit within the free time. ④ Supports searching for nearby parking lots in the app (navigation, number of available spaces, parking fees, coupons, ratings, reviews, etc.), and parking spaces can be reserved. ⑤ During a power outage or network outage, booth attendants can use the app to take over the hardware and enter parking records. [Technical architecture]: The backend is developed in Java, with the frameworks oauth2 + springboot2 + dubble (Dubbo); databases are mysql/mongodb/redis; the underlying instant messaging framework is netty4; Android and iOS are both developed natively; the admin backend template is a professionally customized vue one.

An actor-based Framework with network transparency for creating event-driven architecture in Golang. Inspired by Erlang. Zero dependencies.

  • erlang
  • golang
  • elixir
  • supervisor

The visual layer for Git in your own repos: simulate, record, replay, audit, and share entire Git workflows, wherever you or your agents run them.

  • git
  • gitpython
  • manim
  • python

Translated💯 2026 System Architect (Senior level of the Chinese Software Professional Qualification exam) exam preparation resource library + accompanying free practice question app.

Koog is a JVM (Java and Kotlin) framework for building predictable, fault-tolerant and enterprise-ready AI agents across all platforms – from backend services to Android and iOS, JVM, and even in-browser environments. Koog is based on our AI products expertise and provides proven solutions for complex LLM and AI problems

A unified, comprehensive and efficient recommendation library

  • recommender-systems
  • collaborative-filtering
  • knowledge-graph
  • ctr-prediction