Showing 5 open source projects for "sim card reader software"

View related business solutions
  • Stop Storing Third-Party Tokens in Your Database Icon
    Stop Storing Third-Party Tokens in Your Database

    Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.

    Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
    Try Auth0 for Free
  • Try Google Cloud Risk-Free With $300 in Credit Icon
    Try Google Cloud Risk-Free With $300 in Credit

    No hidden charges. No surprise bills. Cancel anytime.

    Use your credit across every product. Compute, storage, AI, analytics. When it runs out, 20+ products stay free. You only pay when you choose to.
    Start Free
  • 1
    pcsc-tools

    pcsc-tools

    Some tools to be used with smart cards and PC/SC

    pcsc-tools is a suite of tools used to test smart cards and PC/SC drivers. It provides utilities like pcsc_scan to monitor smart card readers and scriptor to send commands to smart cards, aiding in development and troubleshooting.
    Downloads: 32 This Week
    Last Update:
    See Project
  • 2
    DICOM Image Reader

    DICOM Image Reader

    A minimal Medical application to read and view DICOM (dcm) image file

    Dicom Image Reader is opensource medical image viewer built with JavaScript, HTML5, NodeJS and Electron framework. It can load data in DICOM format (single image dcm) and provides standard tools for its manipulation such as contrast, zoom, drag, possibility to draw regions on top of the image and imaging filters such as threshold and sharpening. It is based DWV JavaScript opensource library. =============== Requirements: - Processor: Intel Pentium 4 processor or later that's SSE2 capable - RAM: 512 MB - Hard Disk: 1500 MB - Video Card: nVidia, ATI and Intel Shader Model 2 and Shader Model 3 video cards with 512 megabytes of RAM minimum - Supported OS: Windows 10, Windows 8, Windows 8.1, Windows 7 =============== Alternative software for Windows: Available on Ecwid - https://goo.gl/twBcAq =============== Android App: https://goo.gl/i4NX9K -------------- Chrome app Release Pro: https://goo.gl/p456N5
    Downloads: 28 This Week
    Last Update:
    See Project
  • 3
    AVRILOS

    AVRILOS

    Simple AVR OS

    A simple Embedded System Framework that allows rapid development of applications build for AVR family. System is based on a super-loop architecture with check and skip (no-wait) flag event driver system. Supports: UART, SysTick Timer, ADC, SPI, EEPROM, PWM. Also supports: Xilinx FPGA configuration, FPGA SSI interface, smart card reader etc. Tested partially (different modules in each case) on ATMega163/16/32/323/8. Awards CodeProject 2010, Third Prize, Hardware and Device...
    Downloads: 2 This Week
    Last Update:
    See Project
  • 4
    ScardFace is a python3k library for interfacing with smart cards, which supports Plug-and-Play readers inclusion and threading. It also offers classes for manipulating APDU cmds and resps, and use them in a transport-protocol-independent fashion.
    Downloads: 0 This Week
    Last Update:
    See Project
  • Application Monitoring That Won't Slow Your App Down Icon
    Application Monitoring That Won't Slow Your App Down

    AppSignal's Rust-based agent is lightweight and stable. Already running in thousands of production apps.

    Full APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
    Start Free
  • 5
    The CINT Smartcard project is a collection of tools and libraries for testing smart card. Now it consists of a GUI tool, TestCase Manager, and two CINT pre-compiled libraries, pcsclib & gsmlib, to support PC/SC card reader and GSM commands respectively.
    Downloads: 3 This Week
    Last Update:
    See Project
  • Previous
  • You're on page 1
  • Next
MongoDB Logo MongoDB