TGINSIGHT SIMILAR POSTS
Source channel @githubtrending · Post #15033 · Aug 6
#shell#buildroot_external_tree#firmware#ingenic#ip_camera#ipc#ipcamera Thingino is free, open-source firmware designed specifically for IP cameras using Ingenic SoC chips. It customizes the software to fit each supported camera model, making the camera easier to use and more efficient. You can build the firmware yourself using the provided instructions and tools, and there is a helpful web interface to control camera features like pan, tilt, night mode, and streaming. This gives you more control and flexibility over your camera without relying on proprietary software. It supports many camera models, and the community offers resources like a wiki, chat groups, and development guides to help you get started and customize your device. This benefits you by providing a customizable, transparent, and community-supported alternative to closed camera firmware. https://github.com/themactep/thingino-firmware
Search: #valkey
@kejiqu · Post #3325 · 05/02/2025, 01:18 AM
Redis 8 再次切换到开源许可证 AGPLv3 Redis 于 2024 年 3 月将其 7.4 版本及以上版本的许可证从 3-clause BSD 变更为 RSALv2 和 SSPLv1 双许可证，商业使用需授权，此举使其不再是 FOSS。开源社区对此做出反应，创建了分支，其中 Valkey 得到了 Linux 基金会、Google、AWS 和甲骨文的支持。一年后，Redis 公司发布 8.0 版本，重新采用开源许可证，新增 AGPLv3 作为选项。 AGPLv3 完全兼容 GPLv3，继承了它的自由软件精神：你可以自由使用、修改和分发软件，但必须开源你修改后的源代码。Solidot | Redis |GitHub 🏷#Redis#许可证#开源#Valkey 📢频道👥群组📝投稿
@githubtrending · Post #14772 · 06/01/2025, 12:00 AM
#cplusplus#cache#cpp#database#fibers#in_memory#in_memory_database#key_value#keydb#memcached#message_broker#multi_threading#nosql#redis#valkey#vector_search Dragonfly is a modern in-memory data store compatible with Redis and Memcached, offering up to 25 times higher throughput and better cache efficiency while using up to 80% fewer resources. It scales well with larger servers, supports many Redis commands, and features a unique, memory-efficient cache and fast snapshotting. Dragonfly provides low latency, high performance, and is easy to configure with familiar Redis options. Its design ensures atomic operations and efficient resource use, making it ideal for fast, cost-effective cloud applications needing real-time data access and high scalability. This means you get faster, more efficient caching and data handling with minimal changes to your existing setup[5][2][4]. https://github.com/dragonflydb/dragonfly