Search Results for "so" - Page 2

...It offers conveniences for packaging and distribution on Windows, macOS, and Linux, including app metadata, icons, and startup integration. The library exposes desktop-specific affordances such as system tray menus, window management, and notifications, so applications feel native rather than like generic web wrappers. Because LiveView drives the UI, state lives on the server process, enabling real-time updates without heavy client frameworks. The result is a productive stack for tools, dashboards, and utilities where Elixir’s concurrency and resilience shine on the desktop. Teams get to reuse their Phoenix skills and still ship a polished native app experience.

...Forward Twilio conversations and respond to SMS requests from Papercups. A customizable chat widget you can embed on your website to talk to your customers. Connect with Mattermost, so you can view and reply to messages directly from Mattermost. Connect with Slack, so you can view and reply to messages directly from a Slack channel.

Swarm is a distributed process registry for Elixir/Erlang that lets you register and discover processes across a cluster as if they were on a single node. It focuses on automatic distribution and rebalancing, so when nodes join or leave, Swarm can move work and hand off state to keep the system stable. The library offers a global name registry, conflict resolution for name ownership, and hooks for reacting to membership changes. Its design embraces OTP principles, using supervised processes and fault-tolerant messaging to keep the registry resilient under failures. ...

...Built-in support for namespacing and API versioning simplifies rolling changes or maintaining multiple client generations side by side. Error handling, helpers, and content negotiation are wired into the DSL, so common cross-cutting concerns are consistent across endpoints. Because Maru sits on Plug and Cowboy, it retains Elixir’s performance and concurrency while making API development fast and readable.

...This is the core GraphQL query parsing and execution engine whose goal is to be transport, server and datastore agnostic. In order to setup an HTTP server (ie Phoenix) to handle GraphQL queries you will need plug_graphql. Examples for Phoenix can be found at hello_graphql_phoenix, so look here for a starting point for writing your own schemas. Other ways of handling queries will be added in due course. Tokenization is done with leex and parsing with yecc. Both very useful Erlang tools for parsing. Yecc in particular is used by Elixir itself.

Witchcraft brings algebraic and category-theoretic abstractions—like semigroups, monoids, functors, applicatives, and monads—to Elixir in a pragmatic, protocol-driven way. It introduces a set of typeclass-style protocols and laws so data types can declare the operations they support and have those behaviors verified. The library encourages composability and pure transformations, letting you build pipelines where effects are modeled explicitly rather than hidden in ad-hoc helpers. Because the implementation leans on Elixir protocols, you can extend Witchcraft’s abstractions to your own structs without invasive inheritance hierarchies. ...