#java #database #grafana #hacktoberfest #influxdb #iot #low_latency #metrics #monitoring #postgres #postgresql #questdb #simd #sql #time_series #timeseries_database #tsdb
https://github.com/questdb/questdb
https://github.com/questdb/questdb
GitHub
GitHub - questdb/questdb: QuestDB is a high performance, open-source, time-series database
QuestDB is a high performance, open-source, time-series database - questdb/questdb
#java #big_data #caching #data_in_motion #data_insights #distributed #distributed_computing #distributed_systems #hacktoberfest #hazelcast #in_memory #low_latency #real_time #scalability #stream_processing
https://github.com/hazelcast/hazelcast
https://github.com/hazelcast/hazelcast
GitHub
GitHub - hazelcast/hazelcast: Hazelcast is a unified real-time data platform combining stream processing with a fast data store…
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights. - hazelcast/hazelcast
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#cplusplus #async #asynchronous #cpp #cpp14 #cpp17 #cpp20 #cross_platform #fmtlib #high_performance #log_library #logger #logging #logging_library #low_latency
https://github.com/odygrd/quill
https://github.com/odygrd/quill
GitHub
GitHub - odygrd/quill: Asynchronous Low Latency C++ Logging Library
Asynchronous Low Latency C++ Logging Library. Contribute to odygrd/quill development by creating an account on GitHub.
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#c_lang #accelerator #ack #arq #c #kcp #kcptun #low_latency #protocol #quic #rtc #rtt #socket #srt #tunnel #udp
KCP is a fast and reliable protocol that improves data transmission speed compared to TCP. It reduces average latency by 30-40% and maximum latency by three times, but uses 10-20% more bandwidth. Here’s how it benefits you KCP is designed for speed, making it ideal for real-time applications like online gaming and video streaming.
- **Easy Integration** You can configure various settings such as working mode, window size, and minimum RTO to optimize performance according to your needs.
- **Reliable**: KCP uses selective retransmission and quick retransmit strategies to handle packet loss efficiently, ensuring reliable data transfer.
Overall, KCP offers a simple yet powerful solution to enhance the speed and reliability of your network communications.
https://github.com/skywind3000/kcp
KCP is a fast and reliable protocol that improves data transmission speed compared to TCP. It reduces average latency by 30-40% and maximum latency by three times, but uses 10-20% more bandwidth. Here’s how it benefits you KCP is designed for speed, making it ideal for real-time applications like online gaming and video streaming.
- **Easy Integration** You can configure various settings such as working mode, window size, and minimum RTO to optimize performance according to your needs.
- **Reliable**: KCP uses selective retransmission and quick retransmit strategies to handle packet loss efficiently, ensuring reliable data transfer.
Overall, KCP offers a simple yet powerful solution to enhance the speed and reliability of your network communications.
https://github.com/skywind3000/kcp
GitHub
GitHub - skywind3000/kcp: :zap: KCP - A Fast and Reliable ARQ Protocol
:zap: KCP - A Fast and Reliable ARQ Protocol. Contribute to skywind3000/kcp development by creating an account on GitHub.
#cplusplus #audio #c #c_plus_plus #dash #hevc #hls #live #live_streaming #low_latency #media_server #multimedia #prometheus_exporter #rtmp #server_side #srt #streaming #video #video_conferencing #video_streaming #webrtc
SRS (Simple Realtime Server) is a powerful and efficient video server that supports multiple streaming protocols like RTMP, WebRTC, HLS, and more. It works on various operating systems (Linux, Windows, macOS) and hardware architectures. You can easily set it up using Docker and stream videos using tools like FFmpeg or OBS. SRS is free and open-source, licensed under MIT, making it a great choice for developers to build high-quality streaming platforms. It also offers extensive documentation and community support, making it easier to get started and troubleshoot issues.
https://github.com/ossrs/srs
SRS (Simple Realtime Server) is a powerful and efficient video server that supports multiple streaming protocols like RTMP, WebRTC, HLS, and more. It works on various operating systems (Linux, Windows, macOS) and hardware architectures. You can easily set it up using Docker and stream videos using tools like FFmpeg or OBS. SRS is free and open-source, licensed under MIT, making it a great choice for developers to build high-quality streaming platforms. It also offers extensive documentation and community support, making it easier to get started and troubleshoot issues.
https://github.com/ossrs/srs
GitHub
GitHub - ossrs/srs: SRS is a simple, high-efficiency, real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT…
SRS is a simple, high-efficiency, real-time media server supporting RTMP, WebRTC, HLS, HTTP-FLV, HTTP-TS, SRT, MPEG-DASH, and GB28181, with codec support for H.264, H.265, AV1, VP9, AAC, Opus, and ...
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#python #agent #ai #asr #cpp #gemini #golang #gpt_4 #gpt_4o #llm #low_latency #multimodal #nextjs14 #openai #python #rag #real_time #realtime #tts #vision #voice_assistant
The TEN Agent is a powerful tool that helps you create and manage AI agents with various capabilities like real-time vision, screen detection, and integration with services like Google Gemini Multimodal Live API, Weather Check, and Web Search. To use it, you need to set up your environment with Docker, Node.js, and specific API keys. You can follow simple steps to configure and start your agent locally. The benefits include easy integration of advanced AI features, a supportive community through Discord and GitHub discussions, and the ability to customize and extend your agents with ready-to-use extensions. This makes it easier to develop and deploy sophisticated AI applications quickly.
https://github.com/TEN-framework/TEN-Agent
The TEN Agent is a powerful tool that helps you create and manage AI agents with various capabilities like real-time vision, screen detection, and integration with services like Google Gemini Multimodal Live API, Weather Check, and Web Search. To use it, you need to set up your environment with Docker, Node.js, and specific API keys. You can follow simple steps to configure and start your agent locally. The benefits include easy integration of advanced AI features, a supportive community through Discord and GitHub discussions, and the ability to customize and extend your agents with ready-to-use extensions. This makes it easier to develop and deploy sophisticated AI applications quickly.
https://github.com/TEN-framework/TEN-Agent
GitHub
GitHub - TEN-framework/ten-framework: Open-source framework for conversational voice AI agents
Open-source framework for conversational voice AI agents - TEN-framework/ten-framework