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Showing 4 open source projects for "flora-2"
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Deploy Apps in Seconds with Cloud RunCloud Run is the fastest way to deploy containerized apps. Push your code in Go, Python, Node.js, Java, or any language and Cloud Run builds and deploys it automatically. Get fast autoscaling, pay only when your code runs, and skip the infrastructure headaches. Two million requests free per month. And new customers get $300 in free credit.
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Go From Idea to Deployed AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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Snap7
32/64 bit multi-platform Ethernet S7 PLC communication suite
Snap7, through three specialized components: Client and the inedited Server and Partner, allows you to definitively integrate your PC based systems into a PLC automation chain. Designed to transfer large amounts of hi-speed data in industrial facilities, it scales easily, down to small Linux Arm boards such as Raspberry PI. Hi level object oriented wrappers are provided, currently C/C++, .NET/Mono, Pascal, LabVIEW, Python with many source code examples. Very easy to use, a full... -
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FrontPanelPublisher
A toolkit to publish your LabVIEW front panels as HTML5 sites
This project was moved to github: https://github.com/tgutzler/frontpanelpublisher -
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FastPeak
Fast AFM force curve peaks detector algorithm
...Assuming that only 1% of data is worth reviewing, and that manual selection takes approx. 3 seconds per curve, you can save up to 8 hours per every 10000 curves (like 2 days every week!). Force amplitude analisys for single curve takes from 1 to 4 milliseconds on low-end intel dual core. Algorithm is so simple, that you can implement it in any language in few hours, without any specialized libraries. To be implemented in our Nanopuller AFM control software as real-time module. Requires LabVIEW Runtime engine to run .exe or LabVIEW 2013 for code. -
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Catch Bugs Before Your Customers DoMove from alert to fix before users notice. AppSignal monitors errors, performance bottlenecks, host health, and uptime—all from one dashboard. Instant notifications on deployments, anomaly triggers for memory spikes or error surges, and seamless log management. Works out of the box with Rails, Django, Express, Phoenix, Next.js, and dozens more. Starts at $23/month with no hidden fees.
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