Search Results for "interpreter"
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Showing 46 open source projects for "interpreter"
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1
python-for-android
Turn your Python application into an Android APK
...This tool was originally developed for the Kivy cross-platform graphical framework, but now supports multiple bootstraps and can be easily extended to package other types of Python apps for Android. python-for-android supports two major operations; first, it can compile the Python interpreter, its dependencies, backend libraries and python code for Android devices. This stage is fully customisable: you can install as many or few components as you like. The result is a standalone Android project which can be used to generate any number of different APKs, even with different names, icons, Python code etc. The second function of python-for-android is to provide a simple interface to these distributions. -
2
Pillow
The friendly Python Imaging Library fork
...Pillow is here to answer your concerns, and offer you more. Pillow is the friendly fork of the Python Imaging Library or PIL, a library that adds image processing capabilities to your Python interpreter. Why turn to Pillow? Aside from offering extensive file format support, an efficient internal representation, and fairly powerful image processing capabilities, Pillow is setuptools compatible. While PIL is not officially over yet, with Pillow you can be assured of continuous integration testing, publicized development activity, and regular releases to the Python Package Index. -
3
Numba
NumPy aware dynamic Python compiler using LLVM
...Numba translates Python functions to optimized machine code at runtime using the industry-standard LLVM compiler library. Numba-compiled numerical algorithms in Python can approach the speeds of C or FORTRAN. You don't need to replace the Python interpreter, run a separate compilation step, or even have a C/C++ compiler installed. Just apply one of the Numba decorators to your Python function, and Numba does the rest. Numba is designed to be used with NumPy arrays and functions. Numba generates specialized code for different array data types and layouts to optimize performance. Special decorators can create universal functions that broadcast over NumPy arrays just like NumPy functions do. ... -
4
Werkzeug
The comprehensive WSGI web application library
...It is up to the developer to choose a template engine, database adapter, and even how to handle requests. Includes an interactive debugger that allows inspecting stack traces and source code in the browser with an interactive interpreter for any frame in the stack. Includes a full-featured request object with objects to interact with headers, query args, form data, files, and cookies. Includes a response object that can wrap other WSGI applications and handle streaming data. Includes a routing system for matching URLs to endpoints and generating URLs for endpoints, with an extensible system for capturing variables from URLs. ... -
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5
Pretty Jupyter
Creates dynamic html report from jupyter notebook.
...For example, tabs make some visualizations much more comfortable. The features are integrated directly into the output page, therefore there is no need to have an interpreter running in the backend. This makes the HTML easily sendable or uploadable to a static website. -
6
BlenderProc
Blender pipeline for photorealistic training image generation
...BlenderProc has to be run inside the blender python environment, as only there we can access the blender API. Therefore, instead of running your script with the usual python interpreter, the command line interface of BlenderProc has to be used. In general, one run of your script first loads or constructs a 3D scene, then sets some camera poses inside this scene and renders different types of images (RGB, distance, semantic segmentation, etc.) for each of those camera poses. Usually, you will run your script multiple times, each time producing a new scene and rendering e.g. 5-20 images from it. ... -
7
Atheris
A Coverage-Guided, Native Python Fuzzer
Atheris is a coverage-guided fuzzer for CPython that treats Python as a first-class fuzzing target, enabling rapid discovery of crashes and logic errors in pure-Python code and native extensions. It hooks into Python’s interpreter to collect fine-grained coverage and uses that signal to evolve inputs, pushing programs into previously unexplored code paths. Because many Python libraries are thin wrappers over C/C++ code, Atheris is equally adept at surfacing memory safety issues in extension modules compiled with sanitizers. The tool integrates smoothly with Python’s packaging and unit-test ecosystems, so you can wrap existing tests as fuzz targets and keep results understandable. ... -
8
Wapiti
Wapiti is a web-application vulnerability scanner
Wapiti is a vulnerability scanner for web applications. It currently search vulnerabilities like XSS, SQL and XPath injections, file inclusions, command execution, XXE injections, CRLF injections, Server Side Request Forgery, Open Redirects... It use the Python 3 programming language. -
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SILENTTRINITY
An asynchronous, collaborative post-exploitation agent
SILENTTRINITY is a modern post-exploitation framework built around asynchronous, collaborative, and multi-server workflows for authorized security operations. It is powered by Python 3 and .NET’s Dynamic Language Runtime, using the author’s Bring Your Own Interpreter concept to dynamically evaluate tasks through embedded .NET scripting languages. The framework was designed to bring back some of the flexibility associated with PowerShell-style operations without directly relying on PowerShell. Its architecture supports multiple users, multiple teamservers, real-time communication, and a modern command-line interface. ... -
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10
ECMA-55 Minimal BASIC compiler
BASIC Compiler and Interpreter
John's Mutant contains several projects. The current project is an ECMA-55 Minimal BASIC compiler for Linux systems using AMD64 compatible CPUs. You can download the MinimalBASIC compiler source in the Files section. -
11
GPT-Code UI
An open source implementation of OpenAI's ChatGPT Code interpreter
An open source implementation of OpenAI's ChatGPT Code interpreter. Simply ask the OpenAI model to do something and it will generate & execute the code for you. You can put a .env in the working directory to load the OPENAI_API_KEY environment variable. For Azure OpenAI Services, there are also other configurable variables like deployment name. See .env.azure-example for more information. Note that model selection on the UI is currently not supported for Azure OpenAI Services. -
12
PC-BASIC - a GW-BASIC emulator
A free, cross-platform emulator for GW-BASIC, PCjr & Tandy BASIC
PC-BASIC is a free, cross-platform interpreter for GW-BASIC, BASICA, PCjr Cartridge Basic and Tandy 1000 GWBASIC. -- This page is an archive and hosts the legacy version 1.2 of PC-BASIC only. -- For documentation and the latest releases, please see the official homepage: www.pc-basic.org Four source code, discussions and to report bugs please see the GitHub project page https://github.com/robhagemans/pcbasic -
13
SageMaker Scikit-Learn Extension
A library of additional estimators and SageMaker tools based on scikit
...You can also install from source by cloning this repository and running a pip install command in the root directory of the repository. For unit tests, tox will use pytest to run the unit tests in a Python 3.7 interpreter. tox will also run flake8 and pylint for style checks. -
14
git-imerge
Incremental merge for git
Perform a merge between two branches incrementally. If conflicts are encountered, figure out exactly which pairs of commits conflict, and present the user with one pairwise conflict at a time for resolution. Reduce the pain of resolving merge conflicts to its unavoidable minimum, by finding and presenting the smallest possible conflicts: those between the changes introduced by one commit from each branch. Allow a merge to be saved, tested, interrupted, published, and collaborated on while it... -
15
wtfpython
Exploring and understanding Python through surprising snippets
Python, being a beautifully designed high-level and interpreter-based programming language, provides us with many features for the programmer's comfort. But sometimes, the outcomes of a Python snippet may not seem obvious at first sight. Here's a fun project attempting to explain what exactly is happening under the hood for some counter-intuitive snippets and lesser-known features in Python. -
16
ECS:Python
Light-weight C++ library for embedding Python into C++
ECS:Python (Embedded C++ Scripting with Python) is a simple Python wrapper library designed specifically for C++ developers who wish to add Python scripting to their new / existing C++ projects. ECS:Python allows you to expose objects from a C++ application to an embedded Python interpreter for interactive scripting. ECS:Python is light-weight and easy to use. To get started all you need to do from your project is #include "EcsPython.h", and link to the EcsPython library. Included with ECS:Python is a demo project (/example) written to assist developers in understanding how to use the API. ECS:Python requires a Python distribution to be installed on your system. ... -
17
Py-backwards
Python to python compiler that allows you to use Python 3.6 features
py-backwards is a transpiler that takes modern Python code (with newer syntax) and converts it to older Python versions so you can run it in legacy environments. For example, if you want to use f-strings, type annotations, or other Python 3.x niceties but have to deploy on a machine that only has an older interpreter, py-backwards rewrites your code to an equivalent, earlier syntax. It does this by parsing the source into an abstract syntax tree (AST), applying transformation rules, and emitting compatible code. This allows teams to write forward-looking Python without immediately upgrading all their runtime environments. The project is particularly handy for packaging, CI, or on-prem situations where upgrading Python is slow or impossible. ... -
18
phpython
a python interpreter written in php
Use phpython to write python code in your php projects without using WSGI, CGI or FastCGI. ** IMPORTANT ** Project now on GitHub visit: https://github.com/phpython/phpython -
19
MSCViewer
A tool for visualization and analysis of logs as sequence diagrams
...The diagram is fully interactive: entity can be added/removed from the diagram and shuffled; events can be filtered, searched, highlighted and annotated with comments. MSCViewer features integration with a Python interpreter which allows writing Python scripts interacting with the model. This powerful feature can be used to automate validatation of distributed control flows, integrate with graphing infrastructure, etc. -
20
Python-script syntax hi in Scribus
Python script syntax highlighting in Scribus
This Python script syntax highlighting in Scribus was written for the magazine layout "PROgrammer". Preview archives publications can be reached at http://raxp.radioliga.com. #Scribus Has built an incomplete version of the interpreter language Python. 1. First you need to enter at the beginning of the text object tag (eg. [Tem]) 2. Then, while maintaining isolation on a text object, "Stsenarii-> Run script" 3. Select the script. 4. Then, use this: "Stsenariy-> Recent stsenarii-> Script". 5. The script reads the text, looking for keywords, comments, figures, and then allocates them. -
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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. ... -
22
BrainFuckSem
Brainfuck, brainloller and braincopter interpreter
Semester project for BI-PYT subject (Programming in Python). -
23
Command Interpreter Tool
A command interpreter to use python and cmd commands in one
CIT, also known as Command Interpreter Tool, is an easy-to-use and useful instrument that allows you to use Python commands and various cmd commands (or the commands in your os). It's possible to use CIT as a portable python interpreter, Just install it on your flashdrive and use the batch file (CIT.bat) to run CIT (shortcut probably won't work if you use CIT portable). -
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PYC Dissasembler
Disassemble python byte compiled file for python 2.x
PYC Dissasembler disassemble python byte compiled files (.pyc) into a series of opcodes. It work for every version of python 2 (that use cpython) but must be run with a good interpreter. Ex: you can only disassemble python 2.7 pyc files with a python 2.7 interpreter. -
25
Free Java Flowchart simulator / interpreter
