Search Results for "audio"

Boombox is a high-level audio and video streaming tool built on top of the Membrane Framework. It is designed to make media transformations easier across common formats, containers, and streaming protocols. The project gives developers a simpler interface over lower-level multimedia pipelines, which can otherwise be complex to configure manually. Boombox is useful for Elixir projects that need to read, write, stream, transcode, or transform media without directly assembling every Membrane element. ...

membrane_core is the foundation of the Membrane multimedia framework for Elixir, providing the abstractions and runtime needed to build real-time audio and video pipelines. It models media processing as a graph of lightweight, supervised OTP processes—elements connected by links—so work is isolated, fault-tolerant, and easy to scale or reconfigure at runtime. The core defines a clear lifecycle and callback API for elements, plus concepts like buffers, events, and capabilities/format negotiation to keep components interoperable and type-safe. ...

...Because the repository is open, developers can study its architecture to learn how Phoenix is used in practice for a high-traffic, media-centric website. It also showcases integration with external services for things like audio hosting, search, and analytics, making it an instructive case study for full-stack Elixir development.

...It gives developers a way to create peer connections, exchange media, and work with browser-compatible WebRTC behavior from the BEAM ecosystem. The project is especially useful for applications that need live audio, video, or data communication without leaving Elixir. It can support DataChannels through an optional SCTP dependency, which extends its usefulness beyond media streaming. Because it follows familiar WebRTC concepts, it can integrate with browser clients and other WebRTC-capable systems. Its main value is bringing WebRTC primitives into Elixir so developers can build real-time products with the fault tolerance and concurrency strengths of the BEAM.

Deep Chat is a highly customizable web component designed to simplify the integration of AI-powered chat interfaces into websites. It allows developers to embed a fully functional chatbot using minimal setup, while still offering extensive control over behavior, appearance, and integrations. Deep Chat supports connections to a wide range of AI services as well as custom backends, enabling flexible deployment for different use cases. It is built as a framework-agnostic solution, meaning it...

Fishjam is a real-time multimedia streaming toolkit for building low-latency video and audio applications. The GitHub repository refers to the original open-source Fishjam media server, which was a general-purpose media server written in Elixir and is no longer actively maintained. The broader Fishjam project has since evolved into a platform for WebRTC-based live video, audio, and messaging infrastructure. It is designed for use cases such as video conferencing, live streaming, classrooms, telehealth, gameplay, collaboration, and interactive media products. ...

live_beats is an example Phoenix LiveView application developed by Fly.io to demonstrate real-time features and deployment workflows in modern Elixir web applications. It showcases how developers can build interactive, stateful web experiences without relying heavily on client-side JavaScript frameworks. The project streams live audio updates and visual feedback directly through WebSocket connections managed by LiveView, highlighting the power of Elixir’s concurrent architecture. In addition to real-time interactivity, live_beats demonstrates effective project structuring, deployment strategies, and integration with Fly.io’s cloud hosting platform. It serves as both a learning tool and a reference for best practices in LiveView development, covering topics such as state management, event handling, and distributed scalability. ...