Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Nsq | 24,596 | 2 | 15 | 2 months ago | 49 | October 25, 2021 | 61 | mit | Go | |
A realtime distributed messaging platform | ||||||||||
Nats Server | 15,033 | 1,715 | 8 days ago | 447 | December 06, 2023 | 312 | apache-2.0 | Go | ||
High-Performance server for NATS.io, the cloud and edge native messaging system. | ||||||||||
Jocko | 4,818 | 8 months ago | 61 | mit | Go | |||||
Kafka implemented in Golang with built-in coordination (No ZK dep, single binary install, Cloud Native) | ||||||||||
Ockam | 4,325 | 27 | 3 months ago | 95 | December 06, 2023 | 360 | apache-2.0 | Rust | ||
Orchestrate end-to-end encryption, cryptographic identities, mutual authentication, and authorization policies between distributed applications – at massive scale. | ||||||||||
Liftbridge | 2,413 | 2 | a year ago | 67 | September 09, 2022 | 44 | apache-2.0 | Go | ||
Lightweight, fault-tolerant message streams. | ||||||||||
Blazingmq | 2,407 | 5 months ago | 29 | apache-2.0 | C++ | |||||
A modern high-performance open source message queuing system | ||||||||||
Nservicebus | 2,016 | 401 | 372 | 5 months ago | 755 | November 06, 2023 | 242 | other | C# | |
Build, version, and monitor better microservices with the most powerful service platform for .NET | ||||||||||
Foundatio | 1,903 | 38 | 62 | 3 months ago | 460 | June 23, 2023 | 27 | apache-2.0 | C# | |
Pluggable foundation blocks for building distributed apps. | ||||||||||
Sandglass | 1,531 | 6 years ago | 9 | August 25, 2018 | 8 | apache-2.0 | Go | |||
Sandglass is a distributed, horizontally scalable, persistent, time sorted message queue. | ||||||||||
Zenoh | 1,116 | 34 | 5 months ago | 3 | May 04, 2023 | 76 | other | Rust | ||
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of time and space efficiency that is well beyond any of the mainstream stacks. |