Search Results for "wrap" - Page 2
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Showing 233 open source projects for "wrap"
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HTTPoison
Yet Another HTTP client for Elixir powered by hackney
HTTP client for Elixir, based on HTTPotion. HTTPoison uses hackney to execute HTTP requests instead of ibrowse. Using hackney we work only with binaries instead of string lists. First, add HTTPoison to your mix.exs dependencies. Add :httpoison to your applications list if your Elixir version is 1.3 or lower. You can also easily pattern match on the HTTPoison.Response struct. There are a number of supported options(not to be confused with the HTTP options method), documented here, that can be... -
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React Three Fiber
A React renderer for Three.js
Build your scene declaratively with re-usable, self-contained components that react to state, are readily interactive, and can tap into React's ecosystem. There is no hard dependency on a particular three.js version, it does not wrap or duplicate a single three.js class. It merely expresses three.js in JSX, <mesh /> becomes new THREE.Mesh(), and that happens dynamically. There is no additional overhead. Components participate in a unified render loop outside of React. It outperforms three.js at scale due to React's scheduling abilities.Y ou need to be versed in both React and three.js before rushing into this. ... -
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URQL GraphQL
GraphQL client with which you add on features like normalized caching
...When we only need to install a single package for our framework of choice. We're then able to declaratively send GraphQL requests to our API. All framework packages — like urql (for React), @urql/preact, @urql/svelte, and @urql/vue — wrap the core package, @urql/core, which we can imagine as the brain of urql with most of its logic. -
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Manim Skills Repository
Agent skills for Manim to create 3Blue1Brown style animations
...It supplies templates, best-practice patterns, and example scenes that help users quickly get started with both Manim Community Edition and the older ManimGL framework, allowing for expressive mathematical and conceptual animations without reinventing the wheel. The project aims to wrap common animation logic into structured skills that can be invoked programmatically, reducing boilerplate and allowing creators to focus on creative content rather than low-level animation setup. With clear installation instructions and a collection of test cases, it’s approachable for developers comfortable with Python and interested in educational or technical visualization. -
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sttp client
The Scala HTTP client you always wanted
sttp client is an open-source library that provides a clean, programmer-friendly API to describe HTTP requests and how to handle responses. Requests are sent using one of the backends, which wrap other Scala or Java HTTP client implementations. The backends can integrate with a variety of Scala stacks, providing both synchronous and asynchronous, procedural and functional interfaces. Backend implementations include ones based on akka-http, http4s, OkHttp, and HTTP clients which ship with Java. They integrate with Akka, Monix, fs2, cats-effect, scalaz and ZIO. ... -
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django-money
Money fields for Django forms and models
...Currencies are listed on moneyed, and these modules use this to provide a choice list on the admin, also for validation. Django-money leaves you to use any custom model managers you like for your models, but it needs to wrap some of the methods to allow searching for models with money values. Also, the money_manager wrapper only wraps the standard QuerySet methods. If you define custom QuerySet methods, that do not end up using any of the standard ones (like "get", "filter" and so on), then you also need to manually decorate those custom methods. -
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OverlayScrollbars
A javascript scrollbar plugin which hides native scrollbars
...This means the size of the text area is dependent of its content. For more information please read the documentation to the textarea options or check out the textarea demo. No-auto-wrapping (wrap="off") textures are also supported. -
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OpenAI Agents JS
A lightweight, powerful framework for multi-agent workflows
openai-agents-js is the JavaScript/TypeScript version of the OpenAI Agents SDK, designed to give developers a lightweight but powerful framework for building agentic workflows, voice agents, and tool-augmented LLM systems in JS/TS environments. The SDK is provider-agnostic, meaning while it’s deeply compatible with OpenAI’s APIs, you can also adapt it to use other backends or extension layers. At its core, it introduces primitives like Agents, Tools, Guardrails, and Handoffs, letting you... -
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Inkdown
A WYSIWYG Markdown editor, improve reading and editing experience
Inkdown (bluestone) is a Markdown reading, editing, and sharing tool. Almost fully compatible with the GitHub Flavored Markdown standard, while extending the Mermaid graphics and Katex formula, supporting light and dark styles, and somewhat different from other WYSIWYG editors, Inkdown does not pursue complete customization. Its core goal is comfortable reading, smooth editing of Markdown, and document sharing in the simplest way possible. As a document publisher, markdown source code mode... -
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Aleph
Asynchronous streaming communication for Clojure
...This feature may not play nicely with synchronous Ring middleware, which modifies the response, but this can be easily fixed by reimplementing the middleware using Manifold's let-flow operator. The aleph.http/wrap-ring-async-handler helper can be used to convert async 3-arity Ring handler to an Aleph-compliant one. -
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OPENRNDR
Kotlin library for creative coding, real-time and interactive graphics
...The ORML library includes both models and interface code to make the use of those models simple. ORML is built on top of orx-tensorflow which is an OPENRNDR extra that provides tools to wrap and convert between Tensorflow and OPENRNDR primitives. With these integrations, Machine Learning has become more accessible for interactive designers, coders, and developers. -
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LoggingExtras.jl
Composable Loggers for the Julia Logging StdLib
LoggingExtras allows routing logged information to different places when constructing complicated "log plumbing" systems. Built upon the concept of simple parts composed together, subtyping AbstractLogger provides a powerful and flexible definition for your logging system without a need to define any custom loggers. When we talk about composability, the composition of any set of Loggers is itself a Logger, and LoggingExtras is a composable logging system. -
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StringZilla
10x faster string search, split, sort, and shuffle for long strings
...The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. A standard dataset pre-processing use case would be to map a sizeable textual dataset like Common Crawl into memory, spawn child processes, and split the job between them. -
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MyLayout
Powerful iOS UI framework implemented by Objective-C.
MyLayout is a simple and easy objective-c framework for iOS view layout. MyLayout provides some simple functions to build a variety of complex interface. It integrates the functions including Autolayout and SizeClass of iOS, five layout classes of Android, float and flex-box and bootstrap of HTML/CSS. The MyLayout's Swift version are named: TangramKit -
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Bootstrap Your Own Latent (BYOL)
Usable Implementation of "Bootstrap Your Own Latent" self-supervised
Practical implementation of an astoundingly simple method for self-supervised learning that achieves a new state-of-the-art (surpassing SimCLR) without contrastive learning and having to designate negative pairs. This repository offers a module that one can easily wrap any image-based neural network (residual network, discriminator, policy network) to immediately start benefitting from unlabelled image data. There is now new evidence that batch normalization is key to making this technique work well. A new paper has successfully replaced batch norm with group norm + weight standardization, refuting that batch statistics are needed for BYOL to work. ... -
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Flagsmith
Open source feature flagging and remote config service
...Whether you are moving off an in-house solution or using toggles for the first time, you will be amazed by the power and efficiency gained by using Flagsmith. Flagsmith makes it easy to create and manage feature toggles across web, mobile, and server-side applications. Just wrap a section of code with a flag, and then use Flagsmith to manage that feature. Manage feature flags by the development environment, and for individual users, a segment of users, or a percentage. This means quickly implementing practices like canary deployments. Multivariate flags allow you to use a percentage split across two or more variations for precise A/B/n testing and experimentation. -
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Draper
Decorators/view-models for Rails applications
Draper adds an object-oriented layer of presentation logic to your Rails application. Without Draper, this functionality might have been tangled up in procedural helpers or adding bulk to your models. With Draper decorators, you can wrap your models with presentation-related logic to organize and test this layer of your app much more effectively. Imagine your application has an Article model. With Draper, you'd create a corresponding ArticleDecorator. The decorator wraps the model, and deals only with presentational concerns. In the controller, you decorate the article before handing it off to the view. ... -
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httparty
Makes http fun again!
Makes http fun again! Ain't no party like a httparty, because a httparty don't stop. httparty also includes the executable httparty which can be used to query web services and examine the resulting output. By default it will output the response as a pretty-printed Ruby object (useful for grokking the structure of output). This can also be overridden to output formatted XML or JSON. Execute httparty --help for all the options. If the response Content Type is application/json, HTTParty will... -
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Flyde
Visual programming for developers. Includes a VS Code extension
...Easily access the code behind each node in Flyde’s standard library. Everything needed to run Flyde flows is open source and MIT-licensed. Create Flyde flows right from your IDE. Wrap existing TypeScript code in a Flyde node and use it in your flows. Run flows from existing TypeScript code, from arbitrary CLI scripts to HTTP request handlers, and even front-end code. Flows can be version-controlled, and be part of CI/CD pipelines, just like regular text-based code. -
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Modlishka
Powerful and flexible HTTP reverse proxy
Modlishka is a powerful and flexible HTTP reverse proxy. It implements an entirely new and interesting approach of handling browser-based HTTP traffic flow, which allows to transparently proxy of multi-domain destination traffic, both TLS and non-TLS, over a single domain, without the requirement of installing any additional certificate on the client. What exactly does this mean? In short, it simply has a lot of potential, that can be used in many use case scenarios. Modlishka was written as... -
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Thinc
A refreshing functional take on deep learning
Thinc is a lightweight deep learning library that offers an elegant, type-checked, functional-programming API for composing models, with support for layers defined in other frameworks such as PyTorch, TensorFlow and MXNet. You can use Thinc as an interface layer, a standalone toolkit or a flexible way to develop new models. Previous versions of Thinc have been running quietly in production in thousands of companies, via both spaCy and Prodigy. We wrote the new version to let users compose,... -
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rollama
Wrap the Ollama API, which allows you to run different LLMs
rollama is an R package that provides a convenient interface for interacting with local large language models through the Ollama API, bringing modern AI capabilities into the R ecosystem. It is designed to make LLM usage accessible to data scientists and researchers who work primarily in R, allowing them to generate text, analyze data, and create embeddings without relying on external cloud services. The package emphasizes reproducibility and privacy by enabling local execution of models,... -
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Atheris
A Coverage-Guided, Native Python Fuzzer
...Because many Python libraries are thin wrappers over C/C++ code, Atheris is equally adept at surfacing memory safety issues in extension modules compiled with sanitizers. The tool integrates smoothly with Python’s packaging and unit-test ecosystems, so you can wrap existing tests as fuzz targets and keep results understandable. It supports structured input strategies and custom mutators, which is especially helpful for text and data formats common in Python workloads. In practice, Atheris compresses weeks of edge-case brainstorming into hours of automated exploration with actionable, minimized reproductions. -
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3FS
A high-performance distributed file system
...Its primary aim is to support efficient and scalable feature transformation pipelines—especially for inference environments—by batching, caching, and integrating feature-based modules like segmenters, sparse retrievers, and scorers seamlessly. The repo includes APIs to define components (e.g. seg, ret, scor) that wrap or interface with external or internal modules, as well as logic to schedule and compose these feature transforms. By handling caching and batching at a system level, 3FS helps reduce overhead when many features or modules must be evaluated per input (e.g. in an LLM agent pipeline). The repository includes example integration with models like DeepSeek-V2 / V3, showing how 3FS can be plugged into pipelines for operations like plugin processing. -
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srsly
Modern high-performance serialization utilities for Python
...After dealing with many subtle bugs over the years (encodings, locales, large files) our libraries like spaCy and Prodigy have steadily grown a number of utility functions to wrap the multiple serialization formats we need to support (especially json, msgpack and pickle). These wrapping functions ended up duplicated across our codebases, so we wanted to put them in one place.
