Morph
Overview of Morph
Morph: Build AI-powered Data Apps with Code
Morph is a Python framework + hosting platform that allows you to build and deploy AI-powered data applications quickly and securely. It offers built-in authentication, data connectors, CI/CD, and RBAC.
What is Morph?
Morph is a platform that allows you to build internal AI applications fast, securely, and with high performance. It combines a Python framework with hosting, enabling you to connect to business data, build data processing using OpenAI API and ML models, and create interactive screens using Markdown.
How to use Morph?
Install the Morph Python framework:
$ pip install morph-dataStart building your app using Python and React packages.
Deploy your app on a secure server provided by Morph.
Why is Morph important?
Morph simplifies the process of building and deploying data applications, providing a secure environment with role-based access control. It offers flexibility by allowing you to integrate various Python and React libraries.
Key Features:
- Python Framework: Use the power of the Python ecosystem to process your data.
- Customizable AI: Build custom AI processes using the LLM API.
- Pre-made Components: Easily create interactive AI apps with pre-made components or write your own in Markdown.
- Secure Deployment: Deploy your app in a secure environment accessible only to your team.
- Data Connectors: Securely connect to internal data from sources like BigQuery, Snowflake, PostgreSQL, Salesforce, Intercom, and Linear.
- Role-Based Access Control: Manage permissions with built-in role settings.
- Data Governance: Monitor data lineage with a visual flow of SQL and Python processes.
- Git Management: Manage code as a Git repository.
- Scheduled Execution: Automate SQL and Python processes with scheduled runs.
Pricing:
Morph offers different pricing plans to suit different team sizes and needs:
- Free: For early-stage data teams (up to 1 user, 5 projects).
- Pro: For professional data teams (includes team collaboration, more projects, and local LLM deployment with Ollama).
Best Alternative Tools to "Morph"
TaskingAI: A cloud-based open-source platform for building AI-native apps. Use LLMs, RAG & tools to create AI assistants & integrate with your business. Start free!
Create interactive data apps with Python using Preswald. Build and deploy static sites for data analysis instantly. No JavaScript needed.
Enable efficient LLM inference with llama.cpp, a C/C++ library optimized for diverse hardware, supporting quantization, CUDA, and GGUF models. Ideal for local and cloud deployment.
Airweave is an open-source tool that centralizes data from various apps and databases, enabling AI agents to provide accurate and grounded responses instantly. Build smarter AI agents today!
OpenUI is an open-source tool that lets you describe UI components in natural language and renders them live using LLMs. Convert descriptions to HTML, React, or Svelte for fast prototyping.
Parea AI is the ultimate experimentation and human annotation platform for AI teams, enabling seamless LLM evaluation, prompt testing, and production deployment to build reliable AI applications.
Smolagents is a minimalistic Python library for creating AI agents that reason and act through code. It supports LLM-agnostic models, secure sandboxes, and seamless Hugging Face Hub integration for efficient, code-based agent workflows.
Discover Lab2, the AI tool that turns text prompts into Python apps using Streamlit, Gradio, and Flask. Ideal for quick prototyping without coding expertise.
Marvin is a powerful Python framework for building AI applications with large language models (LLMs). It simplifies state management, agent coordination, and structured outputs for developers creating intelligent apps.
Azure AI Speech Studio empowers developers with speech-to-text, text-to-speech, and translation tools. Explore features like custom models, voice avatars, and real-time transcription to enhance app accessibility and engagement.
xTuring is an open-source library that empowers users to customize and fine-tune Large Language Models (LLMs) efficiently, focusing on simplicity, resource optimization, and flexibility for AI personalization.
Sagify is an open-source Python tool that streamlines machine learning pipelines on AWS SageMaker, offering a unified LLM Gateway for seamless integration of proprietary and open-source large language models to boost productivity.
Try DeepSeek V3 online for free with no registration. This powerful open-source AI model features 671B parameters, supports commercial use, and offers unlimited access via browser demo or local installation on GitHub.
Superlinked: Python framework & cloud infrastructure for AI engineers building high-performance search & recommendation apps.