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Showing 12 open source projects for "without code"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Supabase Realtime
Listen to your to PostgreSQL database in realtime via websockets
...Add user sign ups and logins, securing your data with Row Level Security. Store, organize, and serve large files. Any media, including videos and images. Write custom code without deploying or scaling servers. Supported by a network of early advocates, contributors, and champions. We introspect your database to provide APIs instantly. Stop building repetitive CRUD endpoints and focus on your product. Type definitions built directly from your database schema. Use Supabase in the browser without a build process. ... -
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Live Svelte
Svelte inside Phoenix LiveView with seamless end-to-end reactivity
live_svelte bridges Phoenix LiveView with Svelte components, letting you blend server-driven UIs and client-side interactivity in a single application. It mounts Svelte components from HEEx templates and wires props and events through a small interop layer, so data flows cleanly between LiveView assigns and Svelte state. The integration supports dispatching client events back to LiveView and pushing updates down to the component without writing custom glue for every case. This makes it... -
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Comeonin
Password hashing specification for the Elixir programming language
...The library’s helpers make it straightforward to add registration and login flows that resist brute-force and side-channel attacks. Migration paths and checks are included so you can upgrade algorithms or work factors over time without breaking existing credentials. Its focus on practical ergonomics—clear APIs, sensible defaults, and good docs—has made it the de facto choice for password handling in Elixir. By centralizing hashing concerns, Comeonin helps teams avoid subtle security mistakes while keeping authentication code terse and testable. -
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Phoenix Framework
Peace of mind from prototype to production
Phoenix is a high-performance, productive web development framework written in Elixir. It runs on the Erlang VM (BEAM). It is designed to support both traditional request/response web applications. It also supports real-time, soft-real-time applications via WebSockets, channels, PubSub, and presence features. Phoenix emphasizes fault tolerance, scalability, and developer productivity. It provides tools like code generators, LiveView integration, templating, routing, and a flexible plug... -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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Membrane Core
The core of Membrane Framework, multimedia processing framework
...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. Back-pressure, scheduling, and time synchronization are handled by the framework, enabling low-latency streaming and precise playback control without ad-hoc concurrency code. Developers compose pipelines from reusable building blocks and can dynamically add, remove, or switch elements while the system is running. -
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Benchee
Easy and extensible benchmarking in Elixir
...The aforementioned plugins like benchee_html make it possible to generate nice-looking HTML reports, where individual graphs can also be exported as PNG images. first runs the functions for a given warmup time without recording the results, to simulate a "warm"/running system. Plugin/extensible-friendly architecture so you can use different formats to display benchmarking results as HTML, markdown, JSON, and more. -
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Surface
A server-side rendering component library for Phoenix
Surface is a component-based UI library for Phoenix LiveView that brings a declarative, template-driven approach to building interactive interfaces. Inspired by frameworks like React, it introduces components with typed properties, slots, and macros to simplify complex UIs. Developers can create reusable, encapsulated components that integrate seamlessly with LiveView’s server-rendered real-time model. Surface emphasizes readability, making templates feel closer to HTML while retaining... -
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Phoenix LiveView
Rich, real-time user experiences with server-rendered HTML
Phoenix LiveView is an Elixir library that enables rich, real-time user experiences by using server-rendered HTML over WebSockets, providing seamless dynamic interactivity without needing front-end JavaScript frameworks. It integrates deeply with Phoenix and ships by default in new Phoenix applications. LiveView brings a unified experience to building web applications. You no longer have to split work between client and server, across different toolings, layers, and abstractions. Instead, LiveView enriches the server with a declarative and powerful model while keeping your code closer to your data (and ultimately your source of truth). -
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IElixir
Jupyter's kernel for Elixir programming language
Jupyter's kernel for Elixir. You can manage your packages in runtime with Boyle. Name of the package honours remarkable chemist, Robert Boyle. This package allows you to manage your Elixir virtual enviromnent without need of restarting erlang virtual machine. Boyle installs environment into ./envs/you_new_environment directory and creates new mix project there with requested dependencies. It keeps takes care of fetching, compiling and loading/unloading modules from dependencies list of that... -
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Fast Elixir
Writing Fast Elixir. Collect Common Elixir idioms
Fast Elixir is a curated collection of performance-focused best practices, idioms, and code snippets for writing efficient Elixir programs. The project documents common patterns in Elixir and compares their relative performance using benchmarks to guide developers toward faster and more memory-friendly code. By showcasing side-by-side examples, it highlights not only which approaches are faster but also why certain functions or techniques should be preferred in different scenarios. ... -
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Swarm
Easy clustering, registration, and distribution of worker processes
...Its design embraces OTP principles, using supervised processes and fault-tolerant messaging to keep the registry resilient under failures. Developers can co-locate Swarm with their existing supervision trees to scale workers horizontally without writing custom clustering code. Typical use cases include globally unique workers, sharded consumers, and presence-like coordination where node churn is expected. By turning registry and handoff into configuration and callbacks, Swarm reduces the complexity of multi-node deployments. -
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Elchemy
Write Elixir code using statically-typed Elm-like syntax
...Tagged union types and type aliases with type parameters (aka generic types). Powerful type inference means you rarely have to annotate types. Everything gets checked for you by the compiler. The produced code is idiomatic, performant and can be easily read and analyzed without taking a single look at the original source. Elchemy's type system eliminates almost all runtime errors. .
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