Docling parses documents and exports them to the desired format with ease and speed.

• 🗂️ Reads popular document formats (PDF, DOCX, PPTX, Images, HTML, AsciiDoc, Markdown) and exports to Markdown and JSON
• 📑 Advanced PDF document understanding including page layout, reading order & table structures
• 🧩 Unified, expressive DoclingDocument representation format
• 🤖 Easy integration with LlamaIndex 🦙 & LangChain 🦜🔗 for powerful RAG / QA applications
• 🔍 OCR support for scanned PDFs
• 💻 Simple and convenient CLI

Explore the documentation to discover plenty examples and unlock the full power of Docling!

• ♾️ Equation & code extraction
• 📝 Metadata extraction, including title, authors, references & language
• 🦜🔗 Native LangChain extension

To use Docling, simply install docling from your package manager, e.g. pip:

pip install docling

Works on macOS, Linux and Windows environments. Both x86_64 and arm64 architectures.

More detailed installation instructions are available in the docs.

Windows inside a Docker container.

• ISO downloader
• KVM acceleration
• Web-based viewer

Via Docker Compose:

services:
  windows:
    image: dockurr/windows
    container_name: windows
    environment:
      VERSION: "11"
    devices:
      - /dev/kvm
    cap_add:
      - NET_ADMIN
    ports:
      - 8006:8006
      - 3389:3389/tcp
      - 3389:3389/udp
    stop_grace_period: 2m

Via Docker CLI:

docker run -it --rm -p 8006:8006 --device=/dev/kvm --cap-add NET_ADMIN --stop-timeout 120 dockurr/windows

Via Kubernetes:

kubectl apply -f https://raw.githubusercontent.com/dockur/windows/refs/heads/master/kubernetes.yml

Very simple! These are the steps:

• Start the container and connect to port 8006 using your web browser.

• Sit back and relax while the magic happens, the whole installation will be performed fully automatic.

• Once you see the desktop…

OpenHands: Code Less, Make More

---

Welcome to OpenHands (formerly OpenDevin), a platform for software development agents powered by AI.

OpenHands agents can do anything a human developer can: modify code, run commands, browse the web call APIs, and yes—even copy code snippets from StackOverflow.

Learn more at docs.all-hands.dev, or jump to the Quick Start.

The easiest way to run OpenHands is in Docker. See the Installation guide for system requirements and more information.

docker pull docker.all-hands.dev/all-hands-ai/runtime:0.13-nikolaik

docker run -it --pull=always \
    -e SANDBOX_RUNTIME_CONTAINER_IMAGE=docker.all-hands.dev/all-hands-ai/runtime:0.13-nikolaik \
    -v /var/run/docker.sock:/var/run/docker.sock \
    -p 3000:3000 \
    -e LOG_ALL_EVENTS=true \
    --add-host host.docker.internal:host-gateway \
    --name openhands-app \
    docker.all-hands.dev/all-hands-ai/openhands:0.13

You'll find OpenHands running at http://localhost:3000!

Finally, you'll need a model provider and API key. Anthropic's Claude 3.5 Sonnet (anthropic/claude-3-5-sonnet-20241022) works best, but you have many options.

You can also connect OpenHands to your local filesystem run OpenHands in a…

Maxun lets you train a robot in 2 minutes and scrape the web on auto-pilot. Web data extraction doesn't get easier than this

Website | Discord | Twitter | Join Maxun Cloud | Watch Tutorials

git clone https://github.com/getmaxun/maxun
docker-compose up -d --build

1. Ensure you have Node.js, PostgreSQL, MinIO and Redis installed on your system.
2. Run the commands below

git clone https://github.com/getmaxun/maxun

# change directory to the project root
cd maxun

# install dependencies
npm install

# change directory to maxun-core to install dependencies
cd maxun-core 
npm install

# start frontend and backend together
npm run start

You can access the frontend at http://localhost:5173/ and backend at http://localhost:8080/

1. Create a file named .env in the root folder of the project
2. Example env file can be viewed here.

Diagram as Code.

Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture design without any design tools. You can also describe or visualize the existing system architecture as well. Diagrams currently supports main major providers including: AWS, Azure, GCP, Kubernetes, Alibaba Cloud, Oracle Cloud etc... It also supports On-Premises nodes, SaaS and major Programming frameworks and languages.

Diagram as Code also allows you to track the architecture diagram changes in any version control system.

NOTE: It does not control any actual cloud resources nor does it generate cloud formation or terraform code. It is just for drawing the cloud system architecture diagrams.

It requires Python 3.7 or higher, check your Python version first.

It uses Graphviz to render the diagram, so you need to install Graphviz to use…

Coming soon on 10.25 for offline version, please get notified on Product Hunt!

English | 中文· 🏆 Top 100 Open Project!

Download Double click package to install

• github: Chat2DB-SQL-7B
• huggingface🤗：Chat2DB-SQL-7B
• modelscope：Chat2DB-SQL-7B

Thanks to InternLM for the strong support for this project. In the custom models of this project, multiple model weights from InternLM can be integrated. For more details, please refer to chat2db-internlm-deploy

Chat2DB Pro supports all the following databases, including the most requested Redis feature.

• MySQL
• PostgreSQL
• H2
• Oracle
• SQLServer
• SQLite
• MariaDB
• ClickHouse
• DM
• Presto
• DB2
• OceanBase
• Hive
• KingBase
• MongoDB
• Redis
• Snowflake

Refer to the Quick Start Guide to get started with Chat2DB.

A simple tool to convert screenshots, mockups and Figma designs into clean, functional code using AI. Now supporting Claude Sonnet 3.5 and GPT-4o!

Supported stacks:

• HTML + Tailwind
• HTML + CSS
• React + Tailwind
• Vue + Tailwind
• Bootstrap
• Ionic + Tailwind
• SVG

Supported AI models:

• Claude Sonnet 3.5 - Best model!
• GPT-4o - also recommended!
• DALL-E 3 or Flux Schnell (using Replicate) for image generation

See the Examples section below for more demos.

We also just added experimental support for taking a video/screen recording of a website in action and turning that into a functional prototype.

Learn more about video here.

Follow me on Twitter for updates.

Try it live on the hosted version (paid). If you're a large or medium enterprise (50+ employees), book a meeting to explore custom enterprise plans.

The app has a React/Vite frontend…

An Open-Source AI Chatbot Template Built With Next.js and the AI SDK by Vercel

Features · Model Providers · Deploy Your Own · Running locally

• Next.js App Router
  • Advanced routing for seamless navigation and performance
  • React Server Components (RSCs) and Server Actions for server-side rendering and increased performance
• AI SDK
  • Unified API for generating text, structured objects, and tool calls with LLMs
  • Hooks for building dynamic chat and generative user interfaces
  • Supports OpenAI (default), Anthropic, Cohere, and other model providers
• shadcn/ui
  • Styling with Tailwind CSS
  • Component primitives from Radix UI for accessibility and flexibility
• Data Persistence
  • Vercel Postgres powered by Neon for saving chat history and user data
  • Vercel Blob for efficient file storage
• NextAuth.js
  • Simple and secure authentication

This template ships with OpenAI gpt-4o as the default. However, with the AI SDK, you can switch LLM providers to OpenAI, Anthropic…

Homepage • Discord • GitHub • Codeberg

English • 中文 • 日本語 • ภาษาไทย • Filipino • Polski • Español • Tiếng Việt • Portugês Brasil • Italiano • Indonesia • ភាសាខ្មែរ • Français • فارسی • Turkish

LocalSend is a free, open-source app that allows you to securely share files and messages with nearby devices over your local network without needing an internet connection.

• About
• Screenshots
• Download
• How It Works
• Getting Started
• Contributing
  • Translation
  • Bug Fixes and Improvements
• Building
  • Android
  • iOS
  • macOS
  • Windows
  • Linux

LocalSend is a cross-platform app that enables secure communication between devices using a REST API and HTTPS encryption. Unlike other messaging apps that rely on external servers, LocalSend doesn't require an internet connection or third-party servers, making it a fast and reliable solution for local communication.

It is recommended to download the app either from an app store or from a…