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Cloud tools for web scraping and data extraction
Deploy pre-built tools that crawl websites, extract structured data, and feed your applications. Reliable web data without maintaining scrapers.
Automate web data collection with cloud tools that handle anti-bot measures, browser rendering, and data transformation out of the box. Extract content from any website, push to vector databases for RAG workflows, or pipe directly into your apps via API. Schedule runs, set up webhooks, and connect to your existing stack. Free tier available, then scale as you need to.
A project for a highly scalable protocol and framework and a collection of software tools for m2m (machine to machine communication) and IoT Internet of Things. The programs here works on Windows and Linux and are based around VSCP, The Very Simple Control Protocol.
Repository is here:
https://github.com/grodansparadis/vscp_software
and here
https://github.com/grodansparadis/vscp_firmware
Please note that OWFS source code, and all Issue/Tickets/merge requests have now been moved to https://github.com/owfs/owfs/.
Developer mailing lists will still be kept at Sourceforge.
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OWFS -- 1-Wire file system. Use the Dallas 1-Wire and iButton chips with standard filesystem commands. Create temperature loggers. Monitor everything. OWHTTPD -- same system, only used as a light weight web server. OWFS is also ported to embedded routers, Mac OSX and Windows.
Basically you can use...
I-Nex is an application that gathers information for hardware components available on your system and displays it using an user interface similar to the popular Windows tool CPU-Z.
This python application allows you to download the the recorded notes from a Pegasus Technologies EN100/M210 NoteTaker (digital pen) and store them as SVG files.
Requires python-usb/pyusb-1.0.
Secure and customizable compute service that lets you create and run virtual machines.
Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a good balance of price and performance. Compute optimized (C2) machines offer high-end vCPU performance for compute-intensive workloads. Memory optimized (M2) machines offer the highest memory and are great for in-memory databases. Accelerator optimized (A2) machines are based on the A100 GPU, for very demanding applications.
Development area for GNU/Linux 2.6.x for the KS8695 ARM SoC. Covers kernel patches, drivers for serial, Ethernet, PCI, GPIO, watchdog subsystems, and drivers for optional PCI based devices such as USB, WiFi, WiMAX, IPSec, SSL, and RSA devices.