#low-code

Kairon, based on the RASA framework, offers an open-source platform for creating and managing AI digital assistants without coding. It provides context management, question augmentation, and real-time monitoring, enhancing user engagement and support quality.

Discover 'LowCodeEngine', a low-code platform crafted for enterprise use, offering an extension-focused core and premium ecological components with a full toolchain. Compatible with various modern browsers and developed using TypeScript, it ensures reliable type definitions. With significant expansion capabilities, it supports nearly 100 different vertical platforms, providing streamlined development through standardized protocols and ready-to-use resources like material systems and plugins.

Explore the official MediaPipe samples designed to illustrate the core processes of app development with this versatile machine learning platform. MediaPipe provides streamlined low-code and no-code solutions, including Tasks, Model Maker, and Studio, for developing and deploying custom ML models across various platforms. Users are advised to host more intricate demos separately and contribute their tutorials to the Google DevLibrary.

ToolJet is a low-code open-source platform designed for easy development and deployment of internal tools. Its intuitive drag-and-drop interface enables swift creation of complex UIs, while supporting a multitude of data sources such as PostgreSQL, MongoDB, and APIs. ToolJet caters to collaborative environments with features like multiplayer editing and detailed access control, along with the ability to integrate JavaScript and Python code. Offering support for both self-hosted and cloud-hosted solutions, ToolJet can be enhanced through plugins, providing a robust framework for efficient application development.

PyCaret, an open-source, low-code machine learning library in Python, streamlines workflows by converting lengthy code into compact commands. It appeals to Citizen Data Scientists handling analytical tasks without intensive technical skills, and accelerates experimentation with integrations like scikit-learn and XGBoost. Suitable for seasoned data scientists, prototype-focused professionals, and code-minimalism enthusiasts, PyCaret supports classification, regression, clustering, and time series modeling, making machine learning widely accessible.

An open-source low-code framework for developers, this platform delivers flexible web app and mini-program creation with strong API integration and robust visual modeling. It supports extensive customization, secure deployment, and community collaboration. With Appsmith roots, it enhances mobile development and performance.

Praison AI features a low-code framework utilizing AutoGen and CrewAI, designed to simplify multi-agent system development in LLM applications. It provides interactive user interfaces, comprehensive codebase chat capabilities, real-time voice interactions, and internet search tools. The platform is optimized for usability and customization, supporting over 100 LLMs and ensuring easy integration with existing AI frameworks.

TinyEngine provides developers with tools to customize and build low-code platforms that support real-time deployment. It offers cross-platform components, secondary development, and integration options, enabling the generation of deployable source code independently. The platform integrates AI big model capabilities to facilitate both high-code and low-code application development, as well as third-party component integration. TinyEngine is well-suited for creating advanced applications and includes comprehensive documentation and community support.

Run is a compact library designed for executing user JavaScript code securely within Web Workers. It specializes in data transformation by limiting specific global functions to maintain security. Particularly useful for low-code platforms, it ensures non-intrusive task execution by preventing DOM access and host application context interference. The library supports asynchronous and external library code, with optional network call restrictions. Integrate seamlessly using CDN or npm for optimal performance in projects like the Slashd Dashboard SDK.