1,649 skills found · Page 17 of 55
anthophilee / SpiderFoot ادات جلب معلوماتUSES SpiderFoot can be used offensively (e.g. in a red team exercise or penetration test) for reconnaissance of your target or defensively to gather information about what you or your organisation might have exposed over the Internet. You can target the following entities in a SpiderFoot scan: IP address Domain/sub-domain name Hostname Network subnet (CIDR) ASN E-mail address Phone number Username Person's name Bitcoin address SpiderFoot's 200+ modules feed each other in a publisher/subscriber model to ensure maximum data extraction to do things like: Host/sub-domain/TLD enumeration/extraction Email address, phone number and human name extraction Bitcoin and Ethereum address extraction Check for susceptibility to sub-domain hijacking DNS zone transfers Threat intelligence and Blacklist queries API integration with SHODAN, HaveIBeenPwned, GreyNoise, AlienVault, SecurityTrails, etc. Social media account enumeration S3/Azure/Digitalocean bucket enumeration/scraping IP geo-location Web scraping, web content analysis Image, document and binary file meta data analysis Dark web searches Port scanning and banner grabbing Data breach searches So much more... INSTALLING & RUNNING To install and run SpiderFoot, you need at least Python 3.6 and a number of Python libraries which you can install with pip. We recommend you install a packaged release since master will often have bleeding edge features and modules that aren't fully tested. Stable build (packaged release): $ wget https://github.com/smicallef/spiderfoot/archive/v3.3.tar.gz $ tar zxvf v3.3.tar.gz $ cd spiderfoot ~/spiderfoot$ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Development build (cloning git master branch): $ git clone https://github.com/smicallef/spiderfoot.git $ cd spiderfoot $ pip3 install -r requirements.txt ~/spiderfoot$ python3 ./sf.py -l 127.0.0.1:5001 Check out the documentation and our asciinema videos for more tutorials. COMMUNITY Whether you're a contributor, user or just curious about SpiderFoot and OSINT in general, we'd love to have you join our community! SpiderFoot now has a Discord server for chat, and a Discourse server to serve as a more permanent knowledge base.
dantebben / Nox UvFacilitate nox integration with uv for Python projects
flightaware / Tohila feathered serpent, delightful integration between python, the serpent, and TCL, the feather...
angely-dev / Freeradius ApiA Python REST API on top of the FreeRADIUS database schema for automation and integration purposes
gridsmartercities / PywsitestPYthon WebSocket Integration TESTing framework
spyse-com / Spyse PythonThe official wrapper for spyse.com API, written in Python, aimed to help developers build their integrations with Spyse.
JustinGuese / Python Tradingbot FrameworkPython algorithmic trading bot framework for Kubernetes: backtesting, hyperparameter optimization, 150+ technical analysis indicators (RSI, MACD, Bollinger Bands, ADX), portfolio management, PostgreSQL integration, Helm deployment, CronJob scheduling. Minimal overhead, production-ready, Yahoo Finance data.
Z786ZA / Instagram Api Pythoninstagram api python integration toolkit
conquerv0 / PynaissanceA walk through the frameworks of Python in Finance. The repository is currently in the development phase. The finalized version will include a full-fledged integration and utilization of Quantopian, GS-Quant, WRDS API and their relevant datasets and analytics.
chenhaox / PytracikA ROS-independent Python library providing bindings to the Track IK inverse kinematics solver. Supports Linux, Windows and Mac operating systems. Easy to integrate into new and existing projects.
victor-gil-sepulveda / PyRMSDpyRMSD is a small Python package that aims to offer an integrative and efficient way of performing RMSD calculations of large sets of structures. It is specially tuned to do fast collective RMSD calculations, as pairwise RMSD matrices.
nirholas / UCAIUniversal Contract AI Interface (UCAI) 🔗 ABI to MCP | The open standard for connecting AI agents to blockchain. MCP server generator for smart contracts. Claude + Uniswap, Aave, ERC20, NFTs, DeFi. Python CLI, Web3 integration, transaction simulation. Polygon, Arbitrum, Base, Ethereum EVM chains. Claude, GPT, LLM tooling, Solidity, OpenAI.
keyhankamyar / TickVaultPython library for downloading and processing Dukascopy historical tick data (Forex, crypto, metals). Supports resume-capable downloads, automatic gap detection, proxy rotation, and efficient pandas integration for backtesting and quantitative analysis.
ksator / Continuous Integration With PythonHow to test your python code. How to automatically run your tests for your Python code. How to get reports of the tests coverage
apolloclark / Py Jenkins CiJenkins Continuous Integration server for Python projects, using Vagrant
ibmjstart / Bluemix Python Eve SampleThis project is a Python-Eve Framework application backend deployed on IBM Bluemix™ that provides a practical illustration of setting up a python REST API to support mobile workloads and integration with 3rd party API platforms.
Brritany / MLstatkitMLstatkit is a comprehensive Python library designed to seamlessly integrate established statistical methods into machine learning projects.
the-machine-preacher / Pythonic Python TutorialLearn Python! Python is a programming language that lets you work quickly and integrate systems more effectively.
ojasskapre / Yahoo Finance Llm AgentThe Yahoo Finance Agent is an application that combines OpenAI's LLMs, the Yahoo Finance Python library, and LangChain's tools to provide real-time financial data. It features stock information, financial statements, and an interactive chat interface, all while maintaining conversation context and integrating with Langsmith for debugging
szmyty / OpenAI Retro SuperMarioWorld SNESThis project contains my implementation of the NEAT-Python algorithm to use a recurrent neural network that enables an AI-controlled Mario to train itself to complete levels in "Super Mario World" on SNES. I used the gym-retro-integration program to create my own variables from the game's RAM values and then used those variables to reward/penalize the AI. If the AI complete's a level, the neural network is saved as the winner.
