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Showing 1328 open source projects for "result"
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1
Reselect
Selector library for Redux
...If the Redux state tree is mutated in a way that causes the value of an input-selector to change, the selector will call its transform function with the values of the input-selectors as arguments and return the result. If the values of the input-selectors are the same as the previous call to the selector, it will return the previously computed value instead of calling the transform function. -
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Bulma
Modern CSS framework based on Flexbox
Bulma is a free and open source, modern CSS framework based on Flexbox. It is a collection of CSS classes, with the end result being a single .css file. Because of this, you can write the HTML code you want and it would have no impact on the styling of your page. It has no JavaScript included, and can be considered “environment agnostic”, as it offers just a style layer over the logic. Bulma is 100% responsive, built to be mobile-first and modular, with 39 .sass files which you can individually import. ... -
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openbench
Provider-agnostic, open-source evaluation infrastructure
openbench is an open-source, provider-agnostic evaluation infrastructure designed to run standardized, reproducible benchmarks on large language models (LLMs), enabling fair comparison across different model providers. It bundles dozens of evaluation suites — covering knowledge, reasoning, math, code, science, reading comprehension, long-context recall, graph reasoning, and more — so users don’t need to assemble disparate datasets themselves. With a simple CLI interface (e.g. bench eval... -
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tsup
The simplest and fastest way to bundle your TypeScript libraries
...Because it embraces convention over configuration, it’s easy to adopt as a drop-in replacement for heavier bundlers in simple packages, yet it scales when you need custom externals, minification, or watch modes. The result is a practical tool that shortens the path from source to npm-ready output, lowering maintenance cost across many packages in a repo. -
Secure File Transfer for Windows with Cerberus by RedwoodCerberus supports unlimited users and connections on a single IP, with built-in encryption, 2FA, and a browser-based web client — all deployable in under 15 minutes with a 25-day free trial.
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5
Open Multi-Agent
One runTeam() call from goal to result
Open Multi-Agent is a flexible framework designed to enable the creation and coordination of multiple AI agents working together to solve complex tasks through collaboration. It focuses on distributing responsibilities across specialized agents, each handling a specific part of a problem, such as planning, execution, or validation. The system emphasizes modularity, allowing developers to define agent roles, communication protocols, and workflows. It supports iterative collaboration, where... -
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TONL
TONL (Token-Optimized Notation Language)
TONL is a cutting-edge data platform built around a production-ready serialization format designed to be both compact and powerful, combining human readability with performance features that make it suitable for large-scale applications and AI workflows. It provides a serialization format that significantly reduces token usage compared with traditional JSON, which can result in lower costs and more efficient prompt size utilization in LLM-driven systems. TONL isn’t just a format — it includes a rich API for querying, indexing, modifying, and streaming data, along with tools for schema validation and TypeScript code generation. The platform comes with a complete command-line interface that supports interactive dashboards and cross-platform usage in browsers and server environments, and its high test coverage gives developers confidence in stability. -
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Claude Agent SDK for Python
Python SDK for Claude Agent
Claude Agent SDK (Python) is the official Python counterpart to the TypeScript Agent SDK from Anthropic, designed to let Python developers build powerful autonomous AI agents with Claude Code under the hood. The SDK wraps the core functionality of Claude Code and exposes high-level asynchronous and synchronous interfaces to query prompts, manage sessions, and orchestrate tool use — so you can build agents that understand code, make edits, run bash commands, interact with files, and handle... -
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Engram
A New Axis of Sparsity for Large Language Models
Engram is a high-performance embedding and similarity search library focused on making retrieval-augmented workflows efficient, scalable, and easy to adopt by developers building search, recommendation, or semantic matching systems. It provides utilities to generate embeddings from text or other structured data, index them using efficient approximate nearest neighbor algorithms, and perform real-time similarity queries even on large corpora. Engineered with speed and memory efficiency in... -
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GJSON
Get JSON values quickly, JSON parser for Go
GJSON is a Go library designed for extremely fast, allocation-free retrieval of values from JSON documents. It enables you to query nested JSON structures using one-liner dot-notation or array-based paths and includes wildcard and comparison operators. The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing.... -
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10
TensorRT Node for ComfyUI
Enables the best performance on NVIDIA RTX Graphics Cards
ComfyUI_TensorRT is an extension that lets ComfyUI run AI inference through NVIDIA’s TensorRT, aiming to get faster, more efficient execution on supported GPUs. It bridges the gap between ComfyUI’s flexible, node-based workflows and TensorRT’s highly optimized engine format. The result is that complex diffusion or image-processing graphs can be accelerated without the user having to rewrite the pipeline. The repo typically includes instructions for converting models to TensorRT engines and for wiring those engines into ComfyUI nodes. This is particularly attractive for power users who run many generations or who host ComfyUI on dedicated hardware and want to squeeze out every bit of GPU performance. ... -
11
GuitarPedal
Linus learns analog circuits
GuitarPedal is an experimental repository exploring a digital guitar-effects signal chain implemented with lean, low-level code. The project demonstrates how to read audio input, process it through simple transformations, and write the result out in real time with minimal latency. It emphasizes straightforward, inspectable DSP so developers can follow the math and tweak parameters without a giant framework in the way. The codebase favors portability and simplicity, focusing on a handful of canonical effects rather than a sprawling plugin architecture. It doubles as a teaching aid for musicians who code, showing how buffers, sampling rates, and numerical stability affect tone. ... -
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Deep Research
Use any LLMs (Large Language Models) for Deep Research
...A simple web UI lets you enter topics and configure models, while the backend streams progress as sources are fetched and arguments are weighed. It offers MCP server support and SSE APIs, so IDEs and agent clients can drive the same workflow programmatically. The result is a repeatable process for scoping questions, collecting evidence, and producing a concise report with citations and reasoning steps. -
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Swift Numerics
Advanced mathematical types and functions for Swift
...API design follows Swift’s emphasis on value semantics and protocol-oriented programming, enabling compiler optimizations and predictable performance. The modules are factored to keep dependencies minimal and to allow adopters to pull in only what they need. As a result, Swift Numerics underpins higher-level libraries in simulation, signal processing, and machine learning written in pure Swift. -
14
vRain
Chinese Ancient eBooks Generator
...A configuration-driven approach lets users store multiple accounts, adjust intervals, and toggle features without modifying code. The program surfaces clear logs and result summaries so you can verify outcomes or spot failures that need manual intervention. Deployment is intentionally lightweight, making it suitable for laptops, low-power servers, or containers. While it removes the drudgery from daily online routines, it’s designed to be used responsibly in accordance with platform policies and local regulations. -
15
Badass JLink Plugin
Create a custom runtime image of your modular application
...It offers rich configuration for JVM options, system properties, service providers, and add-modules/add-reads tweaks to handle both modular and “automatic module” dependencies. For JavaFX and other common stacks, it provides conveniences that smooth over typical jlink hurdles and platform differences. As a result, you get predictable, fast-starting binaries that are easy to ship across environments without requiring a preinstalled Java runtime. -
16
Zine
Fast, Scalable, Flexible Static Site Generator (SSG)
A Zine site is a collection of content files and layouts. Zine turns your content into HTML, styles it using your layouts, and finally copies the result (alongside other assets like images) into an output directory that you can then publish on static hosting services like GitHub Pages. Zine uses a structured approach to content authoring that helps keep sizeable content collections manageable. Similarly, the build process uses surgical dependency tracking to ensure minimal rebuilds, keeping the authoring experience excellent at all scales. ... -
17
Spark NLP
State of the Art Natural Language Processing
...Spark ML provides a set of machine learning applications that can be built using two main components, estimators and transformers. The estimators have a method that secures and trains a piece of data to such an application. The transformer is generally the result of a fitting process and applies changes to the target dataset. These components have been embedded to be applicable to Spark NLP. Pipelines are a mechanism for combining multiple estimators and transformers in a single workflow. They allow multiple chained transformations along a machine-learning task. -
18
tabby.nvim
A declarative, highly configurable, and neovim style tabline plugin
...You can easily switch between tab pages to have several collections of windows to work on different things. Tabline can help you use multiple tabs. Meanwhile, the bufferline is simply an array of opened files. As a result, Bufferline limits the power of vim, especially when editing a large workspace with many opened files. -
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Laravel Workflow
Durable workflow engine that allows users to track job status
Laravel Workflow is a package for the Laravel web framework that provides tools for defining and managing workflows and activities. A workflow is a series of interconnected activities that are executed in a specific order to achieve a desired result. Activities are individual tasks or pieces of logic that are executed as part of a workflow. Laravel Workflow can be used to automate and manage complex processes, such as financial transactions, data analysis, data pipelines, micro-services, job tracking, user signup flows, sagas and other business processes. By using Laravel Workflow, developers can break down large, complex processes into smaller, modular units that can be easily maintained and updated. -
20
Sandwich
Sandwich is an adaptable and lightweight sealed API library
...This library empowers you to handle body data, errors, and exceptional cases more succinctly, utilizing functional operators within a multi-layer architecture. With Sandwich, the need to create wrapper classes like Resource or Result is eliminated, allowing you to concentrate on your core business logic. Sandwich boasts features such as global response handling, Mapper, Operator, and exceptional compatibility, including ApiResponse With Coroutines. -
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JSON implementation for Ruby
JSON implementation for Ruby
...To encode raw binary strings, that aren't UTF-8 encoded, please use the to_json_raw_object method of String (which produces an object, that contains a byte array) and decode the result on the receiving endpoint. -
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Shelf
Web server middleware for Dart
...The adapter may include body data for the 500 response, but this body data must not include information about the error that occurred. This ensures that unexpected errors don't result in exposing internal information in production by default; if the user wants to return detailed error descriptions, they should explicitly include middleware to do so. -
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VCR.py
Automatically mock your HTTP interactions to simplify testing
...When the relevant piece of code is executed again, VCR.py will read the serialized requests and responses from the aforementioned cassette file, and intercept any HTTP requests that it recognizes from the original test run and return the responses that corresponded to those requests. This means that the requests will not actually result in HTTP traffic, which confers several benefits including: -
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Swift for GraphQL
The Swift GraphQL implementation for macOS and Linux
The Swift implementation for GraphQL, a query language for APIs created by Facebook. The GraphQLSchema object can be used to define GraphQL Schemas and Types. These schemas are made up of types, fields, arguments, and resolver functions. This repo only contains the core GraphQL implementation and does not focus on the ease of schema creation. For a better experience when creating your GraphQL schema use Graphiti. This package supports GraphQL subscription, but until the integration of... -
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Academicons
An icon font for academics
...An icon of appropriate resolution can be provided or linked to. Ideally, the provided file will be a vector file (e.g. SVG, EPS, AI) or a PDF with the vector file embedded. These files are all very easy to work with, and result in the most faithful reproductions of the icon.
