Search Results for "simple" - Page 52
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Showing 18655 open source projects for "simple"
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PocketSVG
Easily convert your SVG files into CGPaths, CAShapeLayers, etc.
A simple toolkit for displaying and manipulating SVGs on iOS and macOS in a performant manner. The goal of this project is not to be a fully compliant SVG parser/renderer. But rather to use SVG as a format for serializing CG/UIPaths, meaning it only supports SVG features that can be represented by CG/UIPaths. Thoroughly documented. -
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Panda-Helper
Panda-Helper: Data profiling utility for Pandas DataFrames and Series
Panda-Helper is a simple data-profiling utility for Pandas DataFrames and Series. Assess data quality and usefulness with minimal effort. Quickly perform initial data exploration, so you can move on to more in-depth analysis. -
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NumCpp
C++ implementation of the Python Numpy library
...It is inherently a 2D array class, with 1D arrays being implemented as 1xN arrays. There is also a DataCube class that is provided as a convenience container for storing an array of 2D NdArrays, but it has limited usefulness past a simple container. -
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Docusaurus
Easy to maintain open source documentation websites
Docusaurus is a project that makes maintaining, building and deploying open source documentation websites incredibly easy. Simple to set up and start, Docusaurus allows you to save time and focus on your documentation. All you have to do is write docs and blog posts with Markdown and Docusaurus will handle the rest of the website build process. Docusaurus comes with pre-configured localization, as well as all the key pages and sections you need to get started. -
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BeeAI Framework
Build production-ready AI agents in both Python and Typescript
BeeAI Framework is an open-source, production-grade toolkit designed for building intelligent AI agents and complex multi-agent systems that can reason, act, and collaborate to solve real-world problems at scale. It goes beyond simple prompt-based interactions by introducing rule-based governance and constraint enforcement, enabling developers to create agents with predictable and controllable behavior while still preserving advanced reasoning capabilities. The framework supports both Python and TypeScript with full feature parity, making it accessible to a wide range of developers and teams. ... -
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Agent Framework
Framework for building, orchestrating, and deploying AI agents
...It provides a unified programming model that supports both Python and .NET implementations, allowing developers to create agent-driven applications in multiple programming environments. It includes tools and abstractions for constructing simple conversational agents as well as complex workflows where multiple agents collaborate to complete tasks. Microsoft Agent Framework supports graph-based orchestration that enables developers to connect agents, functions, and tools into structured workflows capable of handling multi-step processes. It also includes components such as agent sessions for managing state, context providers for maintaining memory, and middleware for intercepting and extending agent behavior. ... -
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Semantra
Multi-tool for semantic search
Semantra is an open-source semantic search tool designed to help users explore large collections of documents by meaning rather than simple keyword matching. The software analyzes text and PDF documents stored locally and creates embeddings that allow queries to retrieve results based on conceptual similarity. It is primarily intended for individuals who need to extract insights from large document collections, including researchers, journalists, students, and historians. -
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kimuraframework
AI-first Ruby framework for building fast, flexible web scraping spide
...Kimurai can use AI-assisted extraction to identify where data resides in HTML pages, automatically generating selectors that are cached for future use so subsequent scraping runs operate with pure Ruby performance. Kimurai supports scraping both static and JavaScript-rendered websites by working with multiple engines, including headless browsers and simple HTTP-based approaches. Developers can also interact with pages using browser automation features such as form filling, clicking elements, or navigating through dynamic content. It includes tools for scheduling, parallel scraping, and structured data output, making it suitable for building reliable large-scale crawlers. -
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tumblr-crawler
Python crawler to download photos and videos from Tumblr blogs
...Once executed, the script fetches media from the Tumblr API and stores the downloaded files in folders named after each blog. tumblr-crawler avoids re-downloading files that have already been saved, making repeated runs safe and useful for recovering missing media. It also supports optional proxy configuration, which can help when access to Tumblr content requires routing requests through a proxy server. With simple dependencies and straightforward configuration, the project offers a practical way to archive media content from Tumblr blogs. -
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LLM-Pruner
On the Structural Pruning of Large Language Models
...The framework relies on gradient-based analysis to determine which parameters contribute least to model performance, enabling targeted structural pruning rather than simple weight removal. After pruning, the framework applies lightweight fine-tuning methods such as LoRA to recover performance using relatively small datasets and short training times. -
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CAG
Cache-Augmented Generation: A Simple, Efficient Alternative to RAG
CAG, or Cache-Augmented Generation, is an experimental framework that explores an alternative architecture for integrating external knowledge into large language model responses. Traditional retrieval-augmented generation systems rely on real-time retrieval of documents from databases or vector stores during inference. CAG proposes a different approach by preloading relevant knowledge into the model’s context window and precomputing the model’s key-value cache before queries are processed.... -
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shadcn Taxonomy
An open source application built using the new router
...The project was created by the shadcn-ui ecosystem as an experiment to explore modern architecture patterns such as server components, the Next.js app router, and modular UI component design. Rather than serving as a simple template, Taxonomy acts as a real application example that includes authentication, subscription management, documentation pages, and blogging functionality. The application uses a modern development stack including TypeScript, Tailwind CSS, and UI components based on Radix UI to build accessible and responsive interfaces. It also integrates backend functionality through Prisma ORM and database services while supporting API routes and middleware for server-side logic. -
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Banana Slides
A native AI PPT generation application based on nano banana pro
Banana Slides is an open-source application designed to automatically generate presentation slides using artificial intelligence. Built on top of the Nano Banana Pro framework, the software enables users to transform simple prompts or outlines into complete slide decks without manually formatting content. Instead of relying on traditional slide editing workflows, the system allows users to describe the desired presentation in natural language and have the AI generate structured slides, including titles, bullet points, and layout suggestions. The tool also supports iterative refinement through conversational commands, allowing users to modify individual slides or request stylistic changes without directly editing the presentation file. ... -
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kb
A minimalist command line knowledge base manager
kb is a minimalist command-line knowledge base manager that gives users a fast, organized way to collect, store, search, and retrieve notes, documents, cheatsheets, procedures, and other artifacts directly from the terminal. It was created to solve the common problem of having scattered text files or reference materials on disk that are hard to search or categorize, and it surfaces a simple CLI interface with intuitive commands for adding, viewing, editing, and deleting knowledge items. Each entry in kb can be tagged, categorized, given metadata like author or status, and inspected with full-text search or regex-based grepping, helping users quickly find content even across large knowledge collections. While focused on text content, it also supports non-text artifacts such as PDFs and images, which can still be indexed and referenced, and it integrates with editors specified by the user’s $EDITOR environment variable to make detailed editing seamless. -
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Build with Claude
A single hub to find Claude Skills, Agents, Commands, Hooks, Plugins
...It serves as a one-stop index where users can browse curated agent modules for tasks like blockchain development, code analysis, DevOps, documentation generation, and much more — all designed to be installed directly into Claude Code using a simple plugin system. The repository includes an organized collection of community-maintained plugins, searchable by category, and offers clear instructions on how to add and install marketplace content within Claude Code environments. Alongside agents, Build with Claude features hooks that can trigger actions on events, slash commands that automate developer tasks, and skill packages that bundle reusable AI behaviors for common problems. -
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Scribe.js
JavaScript OCR and text extraction for images and PDFs
...The library can take image files (such as PNG or JPEG) and recognize the text they contain, and it can also extract text from PDF files that either already contain text or are image-based scans, using modern web standards and WebAssembly under the hood. In addition to simple text extraction, Scribe.js supports writing or injecting a high-quality invisible text layer back into PDFs, effectively making them searchable and improving usability for indexing or accessibility. It is written in modern ECMAScript Modules (ESM), so it can be imported in both browser and Node.js environments without a build step, though browser usage requires same-origin hosting of the files. -
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tinypdf
Minimal PDF creation library
...The library supports essential primitives like writing text, drawing basic shapes, and placing JPEG images, which covers common needs such as invoices, receipts, tickets, and simple reports. It also supports clickable links so generated documents can include interactive URLs, and it can create multi-page documents with custom page sizes. A notable convenience is built-in markdown-to-PDF conversion for common structures like headers and lists, letting you go from formatted text to a PDF layout quickly. -
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files-to-prompt
Concatenate a directory full of files into a single prompt
files-to-prompt is a Python command-line tool that takes one or more files or entire directories and concatenates their contents into a single, LLM-friendly prompt. It walks the directory tree, outputting each file preceded by its relative path and a separator, so a model can understand which content came from where. The tool is aimed at workflows where you want to ask an LLM questions about a whole codebase, documentation set, or notes folder without manually copying files together. It... -
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ElectronBot
ElectronBot is a mini desktop robot
ElectronBot is a desktop-scale robot platform designed for enthusiasts and makers, combining robotics, embedded systems, display, and gesture sensing into a compact mechanical “tool bot”. The project features six degrees of freedom (rotational axes) for arms, neck, and body, allowing expressive motion beyond simple head-tilt or arm-wave. It includes USB communication and a built-in display, enabling it to respond to host computer inputs and act as an interactive peripheral rather than just a static automaton. The creator provides full source materials—mechanical (3D printed or CNC parts), electronics (PCBs, custom boards), firmware and drivers—so someone can build or modify the robot themselves. ... -
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Visual Blocks
Visual Blocks for ML is a Google visual programming framework
...The block abstraction encourages modularity: you can package a preprocessor, a model, and a postprocessor as a reusable composite for others to slot into their graphs. Because everything lives in the browser, sharing is as simple as exporting a project or link, and collaborators can experiment without installing toolchains. For educators and product teams alike, Visual Blocks reduces the distance from idea to interactive proof-of-concept by turning ML diagrams. -
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Segment Anything
Provides code for running inference with the SegmentAnything Model
Segment Anything (SAM) is a foundation model for image segmentation that’s designed to work “out of the box” on a wide variety of images without task-specific fine-tuning. It’s a promptable segmenter: you guide it with points, boxes, or rough masks, and it predicts high-quality object masks consistent with the prompt. The architecture separates a powerful image encoder from a lightweight mask decoder, so the heavy vision work can be computed once and the interactive part stays fast. A... -
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gitignore.io
Create useful .gitignore files for your project
...It aggregates community-maintained templates for programming languages, frameworks, IDEs, operating systems, and tooling, and then composes them into a single file on demand. You can access it from a clean web UI, a simple REST API, or the command line, making it easy to script into new-project scaffolds and automation. The generator accepts multiple technologies in one request, normalizes duplicates, and orders rules sensibly so the result is readable and effective. Templates are versioned and updated over time as tools evolve, helping teams avoid accidentally committing build artifacts, credentials, caches, and other noisy files. ... -
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ImportExcel
PowerShell module to import/export Excel spreadsheets, without Excel
ImportExcel is a popular PowerShell module that enables reading, writing, and manipulating Excel spreadsheets without requiring Microsoft Excel to be installed on the host. It exposes straightforward cmdlets like Import-Excel and Export-Excel that convert between Excel sheets and PowerShell objects, making it simple to pipeline tabular data into reporting and automation flows. Advanced features include adding and formatting tables, setting number/date formats, creating charts, and applying styling or conditional formatting programmatically. The module is optimized for performance (streaming where possible) and supports large datasets, making it useful for ETL tasks, automated reporting, and data analysis in pure PowerShell environments. ... -
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GSY Flutter Demo
Collection of independent Flutter example components
...It includes examples for UI layouts, animations, navigation, networking, state management, and more. The project is often used as a learning playground for developers to see practical implementations of both simple widgets and complex app structures. It demonstrates integrations with APIs, database persistence, and plugin usage, making it a real-world reference app. The codebase is modular, so learners can explore sections independently without needing to understand the entire app at once. Overall, it is a well-regarded resource for both beginners and experienced Flutter developers seeking examples of scalable app structures. -
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PydanticAI
Agent Framework / shim to use Pydantic with LLMs
When I first found FastAPI, I got it immediately. I was excited to find something so innovative and ergonomic built on Pydantic. Virtually every Agent Framework and LLM library in Python uses Pydantic, but when we began to use LLMs in Pydantic Logfire, I couldn't find anything that gave me the same feeling. PydanticAI is a Python Agent Framework designed to make it less painful to build production-grade applications with Generative AI. Built by the team behind Pydantic (the validation layer...
