Domenico Tenace for This is Learning

Posted on Aug 12 • Edited on Oct 6 • Originally published at Medium

7 Open Source Projects You Should Know - Python Edition ✔️

#opensource #python #github #softwaredevelopment

Overview

Hi everyone 👋🏼
In this article, I'm going to look at seven OSS repository that you should know written in Python, interesting projects that caught my attention and that I want to share.
Let's start 🤙🏼

1. pandas

pandas is a package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python 👾

pandas-dev / pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas: powerful Python data analysis toolkit

Testing
Package
Meta

What is it?

pandas is a Python package that provides fast, flexible, and expressive data structures designed to make working with "relational" or "labeled" data both easy and intuitive. It aims to be the fundamental high-level building block for doing practical, real world data analysis in Python. Additionally, it has the broader goal of becoming the most powerful and flexible open source data analysis / manipulation tool available in any language. It is already well on its way towards this goal.

Main Features

Here are just a few of the things that pandas does well:

Easy handling of missing data (represented as NaN, NA, or NaT) in floating point as well as non-floating…

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2. Apache Airflow

Apache Airflow is an amazing platform to programmatically author, schedule, and monitor workflows.
When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative 🥶

apache / airflow

Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Apache Airflow

Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows.

When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative.

Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

Table of contents

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3. G4F

G4F, is a powerful Large Language Model Command Line Interface (LLM-CLI) on a mission to decentralize and provide free access to advanced AI technologies 🥸

xtekky / gpt4free

The official gpt4free repository | various collection of powerful language models

Written by @xtekky

Important

By using this repository or any code related to it, you agree to the legal notice. The author is not responsible for the usage of this repository nor endorses it, nor is the author responsible for any copies, forks, re-uploads made by other users, or anything else related to GPT4Free. This is the author's only account and repository. To prevent impersonation or irresponsible actions, please comply with the GNU GPL license this Repository uses.

Warning

"gpt4free" serves as a PoC (proof of concept), demonstrating the development of an API package with multi-provider requests, with features like timeouts, load balance and flow control.

Note

^{Lastet version:}
^Stats:

pip install -U g4f

docker pull hlohaus789/g4f

🆕 What's New

Added gpt-4o, simply use gpt-4o in chat.completion.create.
Installation Guide for Windows (.exe): 💻 #installation-guide-for-windows
Join our Telegram Channel: 📨 telegram.me/g4f_channel
Join our Discord Group: 💬 discord.gg/XfybzPXPH5
…

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4. Scrapy

Scrapy is a BSD-licensed fast high-level web crawling and web scraping framework, used to crawl websites and extract structured data from their pages. It can be used for a wide range of purposes, from data mining to monitoring and automated testing 🤗

scrapy / scrapy

Scrapy, a fast high-level web crawling & scraping framework for Python.

Scrapy

Overview

Scrapy is maintained by Zyte (formerly Scrapinghub) and many other contributors.

Check the Scrapy homepage at https://scrapy.org for more information, including a list of features.

Requirements

Python 3.8+
Works on Linux, Windows, macOS, BSD

Install

The quick way:

pip install scrapy

See the install section in the documentation at https://docs.scrapy.org/en/latest/intro/install.html for more details.

Documentation

Documentation is available online at https://docs.scrapy.org/ and in the docs directory.

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct.

…

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5. Ultroid

Ultroid is an advanced multi-featured Telegram UserBot, built in Python using Telethon lib 🤖

TeamUltroid / Ultroid

Advanced Multi-Featured Telegram UserBot, Built in Python Using Telethon lib.

Ultroid - UserBot

A stable pluggable Telegram userbot + Voice & Video Call music bot, based on Telethon.

Deploy

Documentation

Tutorial

Full Tutorial -
Tutorial to get Redis URL and password - here.

Deploy to Heroku

Get the Necessary Variables and then click the button below!

Deploy to Okteto

Get the Necessary Variables and then click the button below!

Deploy Locally

Local Deploy - Easy Method

Linux - wget -O locals.py https://git.io/JY9UM && python3 locals.py
Windows - cd desktop ; wget https://git.io/JY9UM -o locals.py ; python locals.py
Termux - wget -O install-termux https://tiny.ultroid.tech/termux && bash install-termux

Local Deploy - Traditional Method

Get your Necessary Variables
Clone the repository: git clone https://github.com/TeamUltroid/Ultroid.git
Go to the cloned folder: cd Ultroid
Create a virtual env: virtualenv -p /usr/bin/python3 venv . ./venv/bin/activate
Install the requirements: pip(3) install -U -r re*/st*/optional-requirements.txt pip(3) install -U -r…

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6. Zulip

Zulip is an open-source team collaboration tool with unique topic-based threading that combines the best of email and chat to make remote work productive and delightful. Zulip is the only modern team chat app that is designed for both live and asynchronous conversations 📱

zulip / zulip

Zulip server and web application. Open-source team chat that helps teams stay productive and focused.

Zulip overview

Zulip is an open-source team collaboration tool with unique topic-based threading that combines the best of email and chat to make remote work productive and delightful. Fortune 500 companies, leading open source projects, and thousands of other organizations use Zulip every day. Zulip is the only modern team chat app that is designed for both live and asynchronous conversations.

Zulip is built by a distributed community of developers from all around the world, with 74+ people who have each contributed 100+ commits. With over 1000 contributors merging over 500 commits a month, Zulip is the largest and fastest growing open source team chat project.

Come find us on the development community chat!

Getting started

Contributing code. Check out our guide for new contributors to get started. We have invested in making Zulip’s code highly readable, thoughtfully tested, and easy to modify. Beyond that, we have…

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7. Freqtrade

Freqtrade is a free and open source crypto trading bot. It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning 🪙

freqtrade / freqtrade

Free, open source crypto trading bot

Freqtrade is a free and open source crypto trading bot written in Python. It is designed to support all major exchanges and be controlled via Telegram or webUI. It contains backtesting, plotting and money management tools as well as strategy optimization by machine learning.

Disclaimer

This software is for educational purposes only. Do not risk money which you are afraid to lose. USE THE SOFTWARE AT YOUR OWN RISK. THE AUTHORS AND ALL AFFILIATES ASSUME NO RESPONSIBILITY FOR YOUR TRADING RESULTS.

Always start by running a trading bot in Dry-run and do not engage money before you understand how it works and what profit/loss you should expect.

We strongly recommend you to have coding and Python knowledge. Do not hesitate to read the source code and understand the mechanism of this bot.

Supported Exchange marketplaces

Please read the exchange specific notes to learn about eventual, special configurations needed for each…

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Conclusion

This list lists seven open source projects that are worth checking out, either to use them or even to contribute🖖
Happy coding!✨

Hi👋🏻
My name is Domenico, software developer passionate of Vue.js framework, I write article about it for share my knowledge and experience.
Don't forget to visit my Linktree to discover my projects 🫰🏻

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