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Source channel @githubtrending · Post #14878 · Jun 28

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio

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@dianjingtiyuxieyi · Post #5432 · 08/29/2025, 09:37 AM

CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC (BO3) 2025-08-29 18:00 全局获胜:ECS 地图比分:2-1 地图让分:ECS+1.5 地图大小:大于2.5 (重心) CSGO-BLAST秋季公开赛-预选赛 #ECS 对战 FNC (BO3) 2025-08-29 18:00 局1 单局获胜: ECS 回合让分: ECS+2.5 回合大小: 大于21.5 (重心) 回合单双: 双

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@githubtrending · Post #14851 · 06/22/2025, 11:30 AM

#python#aws#aws_cli#aws_sdk#cloud#cloud_management#cloudformation#cloudwatch#dynamodb#ec2#ecs#elasticsearch#iam#kinesis#lambda#machine_learning#rds#redshift#route53#s3#serverless AWS Lambda lets you run code without managing servers, automatically scaling to handle any number of requests and charging you only for the compute time you use. It supports many programming languages and integrates well with other AWS services, making it ideal for tasks like real-time data processing, image handling, chatbots, and automating backups. This serverless approach saves you time and money by removing infrastructure management and adapting instantly to demand spikes, so your applications stay responsive and cost-efficient even as usage changes. Lambda is great for building scalable, event-driven applications quickly and easily. https://github.com/donnemartin/awesome-aws