47 Open Source Drive Software Projects
Free and open source drive code projects including engines, APIs, generators, and tools.
Cryptsync 168 ⭐
CryptSync is a small utility that synchronizes two folders while encrypting the contents in one folder. That means one of the two folders has all files unencrypted (the files you work with) and the other folder has all the files encrypted.
Awesome Inspiration 138 ⭐
:fire: A curated list of content worth sharing to help you get inspired! :zap:
Todolistziro 59 ⭐
ZIRO MEANS ZERO No more cutty commissions On our platform, we don’t charge Captains any per trip commissions—zero. When you drive with us we’re on equal footing, so why should we take away from what you earn? Plus, we have the lowest booking fee compared to those being collected by other ridesharing companies.
Googledriveuploadtool 52 ⭐
A tool for Windows to upload and manage files in Google Drive. It resumes uploads in case of an error or failure. Perfect for uploading large files or if your connection is unstable.
Drivedl 43 ⭐
Download files from Google Drive (inclusive of teamdrives, shared with me and my drive) concurrently.
Prof18 Database Backup Restore 35 ⭐
A simple Android app that performs local and cloud backup/restore of a database
Check_smart 35 ⭐
Monitoring Plugin to check hard drives, solid state drives and NVMe drives using SMART
Drive 34 ⭐
:cloud: A distributed cloud based lazy drive to files integrated with Dropbox, Google Drive.
Uehtor 21 ⭐
UEHToR, #1 Torrent And File Leecher For Heroku, Based on Node.js. Simple to Install with full SEO Support
Drive_ros_localize_inertial_navigation_system 13 ⭐
Inertial navigation system based only on IMU data. Creates odometry from IMU data integration
Turtlebackup 12 ⭐
Make simple, secure, compressed, and encrypted backups to your cloud of choice, such as Google Drive, Dropbox, etc.
Headless Raspberry Pi Setup 10 ⭐
Best Command Line Interface (CLI) tools for Raspberry Pi with installation procedures and sample scripts
Eyenet2 10 ⭐
ACCV 18 - Auto-Classification of Retinal Diseases in the Limit of Sparse Data Using a Two-Streams Machine Learning Model