JeroMQ VS Smack

Compare JeroMQ vs Smack and see what are their differences.

Smack

A modular and portable open source XMPP client library written in Java for Android and Java (SE) VMs (by igniterealtime)
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JeroMQ Smack
- 2
2,320 2,366
0.6% 0.1%
8.6 7.9
about 1 month ago 7 days ago
Java Java
Mozilla Public License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

JeroMQ

Posts with mentions or reviews of JeroMQ. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning JeroMQ yet.
Tracking mentions began in Dec 2020.

Smack

Posts with mentions or reviews of Smack. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-24.

What are some alternatives?

When comparing JeroMQ and Smack you can also consider the following projects:

Aeron - Efficient reliable UDP unicast, UDP multicast, and IPC message transport

Conversations - Conversations is an open source XMPP/Jabber client for Android

Apache Kafka - Mirror of Apache Kafka

Xabber - Open-source XMPP client for Android

Apache ActiveMQ - Mirror of Apache ActiveMQ

yaxim - yaxim - a lean XMPP/Jabber client for Android

Apache ActiveMQ Artemis - Mirror of Apache ActiveMQ Artemis

Android-Paho-Mqtt-Service

Embedded RabbitMQ - A JVM library to use RabbitMQ as an embedded service

Nakadi - A distributed event bus that implements a RESTful API abstraction on top of Kafka-like queues

Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.