An Open Source Machine Learning Framework for Everyone
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Updated
May 14, 2024 - C++
An Open Source Machine Learning Framework for Everyone
Library for building distributed, real-time collaborative web applications
Performance Co-Pilot
A distributed, fault-tolerant task queue
Distributed Prometheus time series database
A Peer-to-Peer (Friend-to-Friend), decentralized, encrypted and secure application designed for communication and sharing.
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A to Z Sky Operating System / Microservice Chassis Framework
☁️ Nextcloud server, a safe home for all your data
Modin: Scale your Pandas workflows by changing a single line of code
A build system for development of composable software.
A scalable, distributed, collaborative, document-graph database, for the realtime web
Gossip-based service discovery (and more) for large distributed systems.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
Beyond Decentralized Apps
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Peace of mind from prototype to production
Compute over Data framework for public, transparent, and optionally verifiable computation
Decentralized Public Key Infrastructure
Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.
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