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.

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

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.

Email summary reporting tool for use with Duplicati backup system

📬 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.