Project Description - Key Features - Tech Stack
Soltra is a next generation antivirus solution meticulously crafted to deliver exceptional performance, unparalleled customization, and broad compatibility across diverse systems.
Built with the latest technology and innovative scanning methods, Soltra goes beyond traditional antivirus software by incorporating advanced features that many current solutions lack.
Designed to adapt to the unique needs of each user, it offers flexible configurations to optimize scanning speed, resource usage, and detection accuracy. Currently in its beta phase, Soltra is rapidly evolving with continuous improvements and user feedback, aiming to set a new standard in proactive, efficient, and user-friendly cybersecurity.
High-Performance Scanning Engine: Optimized for speed and efficiency, Soltra’s scanning engine leverages multi-threading and intelligent chunking to minimize system impact while maximizing detection accuracy.
Adaptive Configuration: Automatically adjusts scanning parameters like chunk size and CPU usage based on system capabilities, allowing users to balance performance and resource consumption.
Comprehensive Hash Database: Utilizes an extensive and regularly updated database of malicious file hashes to quickly identify known threats with minimal false positives.
Modular Scan Modes: Supports multiple scan modes including quick, deep, and custom scans to suit different security needs and user preferences.
User-Friendly Interface: Designed for ease of use, Soltra provides clear progress feedback and straightforward controls to make advanced security accessible to all users.
Future-Ready Architecture: Built to integrate GPU acceleration and other emerging technologies for enhanced scanning power and flexibility.
Cross-Platform Compatibility: Engineered to work seamlessly on a wide range of operating systems and hardware configurations.
Frontend: PyQt6
Backend: Python 3.10+, hashlib, cryptography
Concurrency: concurrent.futures, threading
Configuration & Storage: JSON
File System Access: pathlib, os
GPU Acceleration (planned): CUDA (PyCUDA, Numba)
Packaging & Distribution: PyInstaller