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Showing 21 open source projects for "whatsapp source code"
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Reach Your Audience with Rise Vision, the #1 Cloud Digital Signage Software SolutionRise Vision is the #1 digital signage company, offering easy-to-use cloud digital signage software compatible with any player across multiple screens. Forget about static displays. Save time and boost sales with 500+ customizable content templates for your screens. If you ever need help, get free training and exceptionally fast support.
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httpdbg
Tool for Python developers to easily debug the HTTP(S) client requests
httpdbg is a tool for Python developers to easily debug the HTTP(S) client requests in a Python program. -
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IceCream
Never use print() to debug again
Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()... -
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ChatDBG
ChatDBG - AI-assisted debugging. Uses AI to answer 'why'
ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers like pdb, lldb, and gdb. It allows developers to engage in a dialog with the debugger, asking open-ended questions about their program's behavior, and provides error diagnoses and suggested fixes. -
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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. -
Repair-CRMAll-In-One Solution with an Online Booking portal for automating scheduling & dispatching to ditch paperwork and improve the productivity of your technicians!
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FlowLens MCP
Open-source MCP server that gives your coding agent
FlowLens MCP Server is an open-source tool designed to give AI-powered coding agents (like Claude Code, Cursor, GitHub Copilot / Codex, and others) full, replayable browser context to dramatically improve debugging, bug reporting, and regression testing for web applications. It works together with a companion browser extension: when a user reproduces a bug or a complicated UI interaction, the extension captures a rich session log, including screen/video recording, network traffic, console logs, DOM events, storage changes, and more, and exports it. ... -
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PySnooper
Never use print for debugging again
PySnooper is a simple yet powerful Python debugging utility. Just add a @pysnooper.snoop() decorator, and it logs line-by-line execution with timestamps and local variable tracking—saving you from inserting print() statements manually. -
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Tangent
Source-to-source debuggable derivatives in pure Python
Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ... -
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Quercitools
Troubleshoot stack overruns
Quercitools has just one tool for now - stackcheck.py. It helps in troubleshooting of stack overruns. Such defects destroy stack contents and locating the source of the problem is not easy. This is where stackcheck.py comes to help. It runs a program under test by gdb and protects some parts of the stack. If the program overwrites such parts stackcheck.py stops the program and points to the offending line of code. -
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Pyringe
Debugger capable of attaching to and injecting code into python
pyringe is a powerful Python process “syringe” that attaches to a running interpreter and lets you introspect—and even execute code inside—that live process. It blends debugger-style attachment (via gdb/ptrace techniques) with Python-aware helpers so you can inspect threads, frames, locals, and heap objects without restarting the target. This is invaluable for post-mortem diagnosis of production daemons where reproducing a bug in a dev shell is impractical. pyringe can inject arbitrary... -
Yeastar: Business Phone System and Unified CommunicationsUser-friendly, optimized, and scalable, the Yeastar P-Series Phone System redefines business connectivity by bringing together calling, meetings, omnichannel messaging, and integrations in one simple platform—removing the limitations of distance, platforms, and systems.
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CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.
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Unfortunately this project has been suspended. If you wish to continue its development on your own, please feel free to contact me. UnPyc is a tool for disassembling, analyzing and decompiling Python's *.pyc and *.pyo files. UnPyc supports Python 2.5, 2.6.
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PyChecker is a static analysis tool for finding bugs in Python source code. It finds problems that are typically caught by a compiler for less dynamic languages, like C and C++. It is similar to lint.
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This module goal is to make the debugging tool of python shell even better. By replacing a few methods in the sys module. Standard error traceback are more powerfull with bettererror.py.
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A RAD GUI Building IDE for wxPython.
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jbytecode is a Java bytecode disassembler/assembler written in Python. Dissasembly code is aligned with Java bytecodes in the class file so modification and re-assembly is always possible, even when class is obfuscated.
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A microkernel operating system distribution offering (among other things) very low hardware requirements, full and easy portability and easy-readable source code.
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binaryfinary is a binary file format viewer/editor. Profiles are written which describe binary file formats e.g. media files formats, TCP packets, compression formats. Binaryfinary provides an XML-DTD so that these templates can be described in XML.
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OOpyREP is a python code generating filter and library. It reads a OpenOffice.org file and creates a python representation of the document structure as well as contents. The generated code uses the reportlab PDF library to render the document.
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Clint is a testbed for static source-code checking techniques. It is currently designed to check C++ for common programmer errors and suggest improvements.
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RapidGDB is a scriptable GUI for the GDB debugger. Almost every aspect of the program can be extended using Python code snippets.
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