Here's a compilation of the most popular python projects of last year!

• A terminal based stock analysis tool written completely in python:

  OpenBB-finance / OpenBB

  Investment Research for Everyone, Everywhere.

  
  

  

  

  
  
  

  

  The first financial Platform that is free and fully open source.

  Offers access to equity, options, crypto, forex, macro economy, fixed income, and more while also offering a broad range of extensions to enhance the user experience according to their needs.

  Sign up to the OpenBB Hub to get the most out of the OpenBB ecosystem.

  We also have an open source AI financial analyst agent that can access all the data within OpenBB, and that repo can be found here.

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  If you are looking for the first AI financial terminal for professionals, the OpenBB Terminal Pro can be found at pro.openbb.co

  

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  Table of Contents

  1. Installation
  2. Contributing
  3. License
  4. Disclaimer
  5. Contacts
  6. Star History
  7. Contributors

  1. Installation

  The OpenBB Platform can be installed as a PyPI package by running pip install openbb

  or by cloning the repository directly with git clone https://github.com/OpenBB-finance/OpenBB.git.

  Please find more about the installation process in…

  View on GitHub

• A Smart, Automatic, Fast and Lightweight Web Scraper for Python:

  alirezamika / autoscraper

  A Smart, Automatic, Fast and Lightweight Web Scraper for Python

  AutoScraper: A Smart, Automatic, Fast and Lightweight Web Scraper for Python

  

  This project is made for automatic web scraping to make scraping easy It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.

  Installation

  It's compatible with python 3.

  • Install latest version from git repository using pip:

  $ pip install git+https://github.com/alirezamika/autoscraper.git

  • Install from PyPI:

  $ pip install autoscraper

  • Install from source:

  $ python setup.py install

  How to use

  Getting similar results

  Say we want to fetch all related post titles in a stackoverflow page:

  from autoscraper import

  …

  View on GitHub

• A python project that lets you quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect to it!

  sdushantha / wifi-password

  Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect

  wifi-password

  Quickly fetch your WiFi password and if needed, generate a QR code of your WiFi to allow phones to easily connect
  Works on macOS and Linux, Windows

  Installation

  Install using pip

  $ python3 -m pip install --user wifi-password

  Install using git

  $ git clone https://github.com/sdushantha/wifi-password
  $ cd wifi-password
  $ python3 setup.py install
  

  Install using the AUR

  • With pamac

  $ sudo pamac build wifi-password

  • With yay

  $ yay -S wifi-password

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  Usage

  $ wifi-password --help
  usage: wifi_password [options]
  
  optional arguments:
    -h, --help            show this help message and exit
    --show-qr, -show      Show a ASCII QR code onto the terminal/console
    --save-qr [PATH], -save [PATH]
                          Create the QR code and save it as an image
    --ssid SSID, -s SSID  Specify a SSID that you have previously connected to
    --list, -l            Lists all stored network SSID
    --version             Show version number

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  Problems? Check this list

  • Password not found:

    • Linux:
      • Make sure your network passwords are…

  
  

  
  

  View on GitHub

  
  

• A terminal based python project that easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is!

  bee-san / pyWhat

  🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙‍♀️

  

  ➡️ Discord ⬅️
  The easiest way to identify anything
  pip3 install pywhat && pywhat --help

  

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  🤔 What is this?

  

  Imagine this: You come across some mysterious text 🧙‍♂️ 0x52908400098527886E0F7030069857D2E4169EE7 or dQw4w9WgXcQ and you wonder what it is. What do you do?

  Well, with what all you have to do is ask what "0x52908400098527886E0F7030069857D2E4169EE7" and what will tell you!

  what's job is to identify what something is. Whether it be a file or text! Or even the hex of a file! What about text within files? We have that too! what is recursive, it will identify everything in text and more!

  Installation

  🔨 Using pip

  $ pip3 install pywhat

  or

  # installs optional dependencies that may improve the speed
  $ pip3 install pywhat[optimize] 

  🔨 On Mac?

  $ brew install pywhat

  Or for our MacPorts fans:

  $ sudo port install pywhat

  ⚙ Use Cases

  🦠 Wannacry

  

  You come across a new…

  View on GitHub

• A python project that turns your machine learning code into microservices with web API, interactive GUI, and more!

  ml-tooling / opyrator

  🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

  Opyrator

  Turns your Python functions into microservices with web API, interactive GUI, and more.

  

  Getting Started • Features • Examples • Support • Report a Bug • Contribution • Changelog

  Instantly turn your Python functions into production-ready microservices. Deploy and access your services via HTTP API or interactive UI. Seamlessly export your services into portable, shareable, and executable files or Docker images. Opyrator builds on open standards - OpenAPI, JSON Schema, and Python type hints - and is powered by FastAPI, Streamlit, and Pydantic. It cuts out all the pain for productizing and sharing your Python code - or anything you can wrap into a single Python function.

  ^{Alpha Version: Only suggested for experimental usage.}

  

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  Try out and explore various examples in our playground here

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  Highlights

  • 🪄  Turn functions into production-ready services within seconds.
  • 🔌  Auto-generated HTTP API based on FastAPI.
  • 🌅  Auto-generated Web UI based on Streamlit.
  • 📦…

  View on GitHub

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That's it for this compilation!

Byeeeee👋