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Showing 5 open source projects for "android application development"

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  • 1
    GEF

    GEF

    Modern experience for GDB with advanced debugging capabilities

    GEF is a set of commands for x86/64, ARM, MIPS, PowerPC and SPARC to assist exploit developers and reverse-engineers when using old-school GDB. It provides additional features to GDB using the Python API to assist during the process of dynamic analysis and exploit development. Application developers will also benefit from it, as GEF lifts a great part of regular GDB obscurity, avoiding repeating traditional commands or bringing out the relevant information from the debugging runtime.
    Downloads: 9 This Week
    Last Update:
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  • 2
    z-utalm

    z-utalm

    Unified Test and Logging layer for multiple programming languages

    Modern software systems and application are commonly written in multiple languages, include scripting engines, and are frequently build on multiple specialized frameworks and middleware for a considerable diversity of runtime environments. The latest influencing update in development paradigm is the application of multicore processors. This projects is aimed to unify the required trace and logging output and integrate into debugging environments.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Desktop interface and various language API's for remote application debugging. The main goal is to provide a better debug system for web languages like PHP. Always download the latest from remotedebugsys folder and the needed API folder.
    Downloads: 0 This Week
    Last Update:
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  • 4

    pyBdisetup

    GUI for using 'bdisetup' and configure Abatron's BDI debuggers

    GUI wrapper for the application 'bdisetup' of Abatron. This application is used for configuring their JTAG debuggers, like the BDI2000.
    Downloads: 0 This Week
    Last Update:
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  • Create and run cloud-based virtual machines. Icon
    Create and run cloud-based virtual machines.

    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.
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  • 5
    Through Browser Debugger (TBD) is a debugger for the Python language which uses any web browser as the user interface. Simply run TBD with the name of the application to debug and your browser will open automatically to display the debugger.
    Downloads: 0 This Week
    Last Update:
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