Java Twitter

Open-source Java projects categorized as Twitter

Top 8 Java Twitter Projects

  1. UltimateAndroidReference

    :rocket: Ultimate Android Reference - Your Road to Become a Better Android Developer

  2. InfluxDB

    InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.

    InfluxDB logo
  3. ripme

    Downloads albums from the web in bulk for archive purposes

  4. play-pac4j

    Security library for Play framework 2 in Java and Scala: OAuth, CAS, SAML, OpenID Connect, LDAP, JWT...

  5. twitter-api-java-sdk

    A Java SDK for the Twitter API

  6. twittered

    Twitter API client for Java developers

  7. kafka-connect-twitter

    Kafka Connect connector to stream data in real time from Twitter.

  8. SlimSocial-for-Twitter

    Light version of Twitter. Light not only in weight but also in the use.

  9. Stream

    Stream - Scalable APIs for Chat, Feeds, Moderation, & Video. Stream helps developers build engaging apps that scale to millions with performant and flexible Chat, Feeds, Moderation, and Video APIs and SDKs powered by a global edge network and enterprise-grade infrastructure.

    Stream logo
  10. twitter-microservices

    Repository to recreate the microservices architecture of Twitter

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source Twitter projects in Java? This list will help you:

# Project Stars
1 UltimateAndroidReference 8,003
2 ripme 3,918
3 play-pac4j 407
4 twitter-api-java-sdk 262
5 twittered 252
6 kafka-connect-twitter 126
7 SlimSocial-for-Twitter 41
8 twitter-microservices 21

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InfluxDB – Built for High-Performance Time Series Workloads
InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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