📧 Mail reply parser library for Python with multi-language support

EML parser service for AssemblyLine 4

Python package for HTTP/1.1 style headers. Parse headers to objects. Most advanced available structure for http headers.

The 💌 Gmail Email Processor is a Python-based tool designed to process Gmail mbox files, extract email content, and save the processed emails into organized text files. It decodes MIME words, normalizes text to ensure a maximum of two consecutive line breaks, and cleans email bodies to remove unwanted characters.

Parses your forwarded mail and does some automation for you, using AWS SES and Lambda Functions.

Email summary reporting tool for use with Duplicati backup system

An innovative Python tool that sifts through Gmail for bank notifications, harnesses OpenAI's GPT-3.5-turbo for insightful analysis, and seamlessly syncs with YNAB, revolutionizing financial tracking for hackers and developers.

DeepSpam milter v2

The Email Data Extractor 📧 is a Python program 🐍 designed to gather relevant information from email bodies and store it in an Excel spreadsheet . Utilizing the power of Python for efficient email data extraction!

Next generation email box manager

This tool named "InSta-Reseter" is mainly use to reset the Instagram Account Secure Accounts , All working apis are present in the script , If you do any illegal activites through this script we are not responsible

A Python package to get useful information from documents using TopicRank Algorithm.

📬 Process EML and MSG file types and extract various Indicators of Compromise.

Terminal Gmail is gmail client that can be used in a terminal with basic rules and actions

Converts log to json

Zimbra Machine Learning GraphQL Server

Mass static malware analysis tool

A python code that scrapes email from files

Scrapes LinkedIn job pages from job alerts received in a gmail mailbox.

Code created for blog series on unsupervised feature/topic extraction from corporate email content. An implementation for cleaning raw email content, data analysis, unsupervised topic clustering for sentiment/alignment and ultimately several deep-learning models for classification. Details at www.avemacconsulting.com.