A fast Golang Redis client that supports Client Side Caching, Auto Pipelining, Generics OM, RedisJSON, RedisBloom, RediSearch, etc.
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Updated
Jun 1, 2024 - Go
A fast Golang Redis client that supports Client Side Caching, Auto Pipelining, Generics OM, RedisJSON, RedisBloom, RediSearch, etc.
YDB is an open source Distributed SQL Database that combines high availability and scalability with strong consistency and ACID transactions
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 build system for development of composable software.
An Open Source Machine Learning Framework for Everyone
A cloud-native vector database, storage for next generation AI applications
An open-source, cloud-native, distributed time-series database with PromQL/SQL/Python supported. Available on GreptimeCloud.
☁️ Nextcloud server, a safe home for all your data
🤖 The free, Open Source OpenAI alternative. Self-hosted, community-driven and local-first. Drop-in replacement for OpenAI running on consumer-grade hardware. No GPU required. Runs gguf, transformers, diffusers and many more models architectures. It allows to generate Text, Audio, Video, Images. Also with voice cloning capabilities.
Universal, flexible, high-performance distributed ID generator. | 通用、灵活、高性能的分布式 ID 生成器
Distributed lock service | 分布式锁服务
Performance Co-Pilot
Library for building distributed, real-time collaborative web applications
Distributed Prometheus time series database
The Coherence Python Client allows Python applications to act as cache clients to an Oracle Coherence cluster using gRPC as the network transport.
Peer-to-Peer Search Engine for IPFS
Gossip-based service discovery (and more) for large distributed systems.
Ongoing Storj v3 development. Decentralized cloud object storage that is affordable, easy to use, private, and secure.
DefraDB is a Peer-to-Peer Edge Database. It's the core data storage system for the Source Network Ecosystem, built with IPFS/IPLD, LibP2P, CRDTs, and Semantic web3 properties.
Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.
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