Self-hosted email marketing solution

Email automation driven by headless chrome.

Open source email automation written in Rust

open-source cold email outreach tool

Automated Email Sending for Large Scale Email and Gmail Automation

Python scripts to automate some tasks

监控在应用程序中的键盘活动，并自动记录定时通过邮件发送 / Monitor keyboard activities in applications, automatically recording and sending logs regularly via email

Connect your Spree application to Mailchimp eCommerce API for full email automation

AI-powered customer support email automation system built with Langchain & Langgraph

An example of using the OpenAI API in python to automate email responses

🚀 EmailSender Bot: Streamline Your Email Communications 📧 Whether you need to spoof newsletters, important notifications, or personalized messages, our bot simplifies the process. Our bot can spoof coinbase, paypal, binance and many reputated wallet mail.

MailPilot: A Python library for streamlined email automation, enabling personalized mass mailing, SMTP management, and email marketing automation.

This package is a backend for SendGrid Inbound Parse. It runs on Google Cloud Platform Functions. It receives the form data from SendGrid and publishes an EmailData event to GCP Pub/Sub.

This is a basic app to send emails using django.

Onboarding form for new employees to collect their information and store them safely and do email automation tasks.

EmailSender using GScripts

This is a script written in python programming language which help users to generate bulk certificates from template using OpenCV and openpyxl lib and can automate those certificates to bulk gmail-id using email and smtp modules 🤓

This script can be useful to send multiple emails with attachment (with different attachment to different person).

📧️2️⃣️🛠️💾️ The official source repository for the EMAIL 2.0 Automation Tools specification, for helping to automate email sending and receiving. Not intended to be used for spam/phishing bots. This usage is highly discouraged, but can't be entirely avoided.

This project involves setting up a Linux server on Zorin OS to collect data about the PC workload, including CPU, Memory, HDD, and Network usage. The data is saved into a text file and sent via email every 12 hours using a Python script and a systemd file.