oletools - python tools to analyze MS OLE2 files (Structured Storage, Compound File Binary Format) and MS Office documents, for malware analysis, forensics and debugging.

Integrations with DeFi platforms allow you to automatically add liquidity, participate in farming, steaking and manage payout streams. Gas optimization and support for Layer 2 solutions help reduce commissions. Suitable for crypto projects, DAOs and marketing campaigns.

olefile is a Python package to parse, read and write Microsoft OLE2 files (also called Structured Storage, Compound File Binary Format or Compound Document File Format), such as Microsoft Office 97-2003 documents, vbaProject.bin in MS Office 2007+ files, Image Composer and FlashPix files, Outlook messages, StickyNotes, several Microscopy file fo…

A repo for working with and building daos

Compound Watcher is a bot that watches potential liquidations on Compound Finance and sends notifications through pushbullet

Tools for creating and working with aggregate probability distributions.

An unsupervised compound splitter

Fast and Modularized CFG-focused Models

A Python library designed to swiftly and effortlessly obtain the UNIFAC-like groups from molecules by their names and subsequently integrate them into inputs for thermodynamic libraries. UNIFAC, PSRK, and Joback models are implemented.

Price sources for Beancount that provide prices for various cryptoassets

An Organic Chemistry module

A molar mass calculator cli

DeFi App where users can deposit ERC20 token and earn a yield

Homey compound device component

Imphash equivalent for Office files containing VBA macros.

A simple calculator for molar masses of compounds

cfbpy is a Python package that allows you to compress and decompress compound file binary formats, similar to how zip/unzip works for regular zip files. It provides an easy-to-use interface for handling compound files.

Набив объёма в Base через лендинги: Aave, Compound, Moonwell и Seamless

A robust Python library designed for the generation and optimization of molecular fingerprints