Download JAR files tagged by streaming with all dependencies

StaxMate is a light-weight framework that adds convenience to streaming XML-processing without significant additional overhead. It builds on top of a Stax (JSR-173) compliant XML processors such as Woodstox or Sjsxp (default Stax implementation of JDK 1.6) and offers two basic abstractions: Cursors, which build on XMLStreamReaders and Output objects, which build on XMLStreamWriters.

This library contains the drm_sdk for Android, equipped with advanced decoding and encryption features to ensure secure playback of video content within your app. This powerful library supports a variety of popular video formats, including DASH and HLS, and provides robust encryption options to protect your content from unauthorized access. The library is optimized for performance, with hardware acceleration and network streaming support, providing a smooth user experience. With its advanced decoding and encryption capabilities, the Android video libraries are the ideal solution for building a secure and high-quality video experience.

A cluster computing system for processing large-scale spatial data: Streaming API for Apache Flink. Apache Sedona is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects. While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.

Leveraging Tencent's 21 years of experience in network and audio/video technologies, Tencent Real-Time Communication (TRTC) offers multi-person audio/video calls and low-latency interactive live streaming solutions. With TRTC, you can quickly develop cost-effective, low-latency, and high-quality interactive audio/video services. Audio/Video Call Solution TRTC provides a client SDK that works across platforms and regions. This solution can be easily used on webpages to enable audio and video call capability for all applications. Low-Latency Interactive Live Streaming Solution TRTC leverages Tencent Cloud's high-quality node resources, industry-leading network and audio/video technologies to helps you build interactive live streaming services with minimal lags and a latency below 1 second, taking live streaming into the era of CDN 2.0.腾讯实时音视频（Tencent Real-Time Communication，TRTC）将腾讯21年来在网络与音视频技术上的深度积累，以多人音视频通话和低延时互动直播两大场景化方案，通过腾讯云服务向开发者开放，致力于帮助开发者快速搭建低成本、低延时、高品质的音视频互动解决方案。

The Data Highway is a service that allows data to be easily landed and consumed via REST interfaces which accept and produce JSON messages. The data is first defined using a schema and a "road" is created which will accept data messages that conform to this schema. Producers of data sets thus only need to define the structure of their data and are then able to send their data to a REST endpoint and not be too concerned with what happens next. The Data Highway will ensure that this data is made available for downstream streaming consumption and also stored reliably in a "data lake" in the cloud for access by various end users.

Stepping is a framework designed to ease the implementation of data processing solutions. In use cases where we need to implement data or data-streaming algorithms or any other processing on data, we need to first handle many different infrastructure issues. For example, we need to decide how to split the data processing logic into different steps, think about our threading policy, how to handle communication between the different steps, error handling etc. One of the most important subjects is the Threading Policy of our solution. For example, we need to think how many threads to open, have the option to distribute the processing of data to multiple 'executors' in parallel, have a thread-safe communication layer between the threads etc. On top of that we also care a lot about the performance of our solution, we want to make sure that the latency added by these infrastructures is minimal as possible. Stepping aims to handle many of these aspects so developers can spend their time on the business logic instead of solving these infrastructure and data flow issues issues over and over again.