Search Results for "python games code"
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Showing 28 open source projects for "python games code"
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Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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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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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. -
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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()... -
Field Service+ for MS Dynamics 365 & SalesforceResco’s mobile solution streamlines your field service operations with offline work, fast data sync, and powerful tools for frontline workers, all natively integrated into Dynamics 365 and Salesforce.
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TraceRoot
Find the Root Cause in Your Code's Trace
...AI agents operate over this structured view to summarize issues, pinpoint likely root causes, and even suggest actionable fixes or draft GitHub issues and pull requests. It offers interactive trace exploration with zoomable log clusters, span and latency views, and code-linked insights. Lightweight SDKs for Python and TypeScript enable seamless instrumentation using OpenTelemetry, with support for both self-hosted and cloud deployment. Human-in-the-loop interaction is central: developers can guide reasoning by selecting relevant spans or logs, then verify agent reasoning through traceable context. -
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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... -
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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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gCode
grieferCode
Yet another scripting language Main features: - Pointers - Structures - Objectoriented programming (yet to come) - code in plain english - easy to learn (based on C, C++, Java, Pascal, Python, Lua) -
Data management solutions for confident marketingVerify, deduplicate, manipulate, and assign records automatically to keep your CRM data accurate, complete, and ready for business.
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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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Core Analyzer
A power tool to debug core dump, memory corruption, optimized code.
The project is now hosted on github: https://github.com/yanqi27/core_analyzer.git Core analyzer is a power tool to debug memory issues. With ever increasing complexity and dataset size of application programs, it is very challenging to find the root cause of a memory bug. Programmers often use debugger to go through many contexts or data objects in order to hunt down a suspicious variable or object. However, the task is boring, prone to error and usually fruitless. By parsing a core dump... -
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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 Python into the target process, enabling on-the-spot logging, state dumps, or gentle patching to keep a system limping along while you gather evidence. ... -
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PyCodebug
Python script coding editor that debugs as you write
Usually, coding a script involves writing the code and either debugging or running it several times, examining variables or output and fixing the code until the desired effect is achieved. With PyCodebug, you get to see the effects of the code during coding, which greatly reduces the time needed to write a script. ================================== Demo Video: http://youtu.be/a6nFo4y3kzo ================================== Requires: Python 2.7x PySide -
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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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Game Conqueror HAS BEEN MOVED TO: http://code.google.com/p/scanmem/ Game Conqueror is a graphical game cheating tool (memory modifier) under Linux, whose main target is to provide functions and user-feelings of CheatEngine. Game Conqueror is written in PyGTK and using scanmem as its backend.
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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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playstation (psx) development tools: includes disassembler, code profiler, and cd mastering tools (split off from the World Foundry GDK).
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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.
