SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
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Updated
Mar 20, 2026 - Go
SeaweedFS is a distributed storage system for object storage (S3), file systems, and Iceberg tables, designed to handle billions of files with O(1) disk access and effortless horizontal scaling.
Lightweight selfhosted Firefox Send alternative without public upload. AWS S3 supported.
The Universal Storage Engine
Zenko CloudServer, an open-source Node.js implementation of the Amazon S3 protocol on the front-end and backend storage capabilities to multiple clouds, including Azure and Google.
ProjectSend is a free, open source software that lets you share files with your clients, focused on ease of use and privacy. It supports clients groups, system users roles, statistics, multiple languages, detailed logs... and much more!
The LeoFS Storage System
👶 Tiny S3 client. Edge computing ready. No-dep. In Typescript. Works with @cloudflare @minio @Backblaze @digitalocean @garagehq @oracle
📎 Flexible file upload and attachment library for Elixir
A curated list of storage open source tools. Backups, redundancy, sharing, distribution, encryption, etc.
TUI explorer application for Amazon S3 (AWS S3) 🪣
MongoDB dockerized backup agent. Runs schedule backups with retention, S3 & SFTP upload, notifications, instrumentation with Prometheus and more.
High Performance Software-Defined Object Storage for Big Data and AI, that supports Amazon S3 and Openstack Swift
CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
🔥 Fast, Secure and Reliable System Backup, Set up in Minutes.
Software to manage a Linux-based All Sky Camera.
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)
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