Build gen AI apps with an all-in-one modern database: MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
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MongoDB Atlas runs apps anywhere
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
RyuX Passgen is an open-source password generator built using Python and Tkinter. It allows users to generate secure passwords with customizable length and stores previously generated passwords in a CSV file for future reference.
A protocol agnostic application layer denial of service attack.
PyLoris is a scriptable tool for testing a server's vulnerability to connection exhaustion denial of service (DoS) attacks. PyLoris can utilize SOCKS proxies and SSL connections, and can target protocols such as HTTP, FTP, SMTP, IMAP, and Telnet.
SLEncrypt is a python module for encryption with 11 ciphers at the moment, including ADFGVX, Autokey, Caesar/ROT13, Vigenere, XOR and a lot more. It contains functions allowing you to easily encrypt/decrypt files. The code is about 95% PEP 8 compilant.
PySumpas is a simple, graphical password generating utility written in Python/Tkinter. Using tools from the Python Cryptography Toolkit, it generates secure passwords from user input that can be regenerated if forgotten.
Cloud data warehouse to power your data-driven innovation
BigQuery is a serverless and cost-effective enterprise data warehouse that works across clouds and scales with your data.
BigQuery Studio provides a single, unified interface for all data practitioners of various coding skills to simplify analytics workflows from data ingestion and preparation to data exploration and visualization to ML model creation and use. It also allows you to use simple SQL to access Vertex AI foundational models directly inside BigQuery for text processing tasks, such as sentiment analysis, entity extraction, and many more without having to deal with specialized models.