https://github.com/morph-data/morph
Python + Markdown framework for building internal apps.
https://github.com/morph-data/morph
data-analysis data-science data-visualization deep-learning developer-tools generative-ai machine-learning mdx morph python react sql
Last synced: 26 days ago
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Python + Markdown framework for building internal apps.
- Host: GitHub
- URL: https://github.com/morph-data/morph
- Owner: morph-data
- License: apache-2.0
- Created: 2024-12-18T01:15:44.000Z (4 months ago)
- Default Branch: develop
- Last Pushed: 2025-03-24T03:42:05.000Z (about 1 month ago)
- Last Synced: 2025-03-28T13:04:21.445Z (about 1 month ago)
- Topics: data-analysis, data-science, data-visualization, deep-learning, developer-tools, generative-ai, machine-learning, mdx, morph, python, react, sql
- Language: Python
- Homepage: https://www.morph-data.io/
- Size: 1.43 MB
- Stars: 96
- Watchers: 4
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: License.md
- Code of conduct: CODE_OF_CONDUCT.md
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README
## Features
[Morph](https://www.morph-data.io/) is a python-centric full-stack framework for building and deploying AI apps.
- **Fast to start** 🚀 - Allows you to get up and running with just three commands.
- **Deploy and operate 🌐** - Easily deploy your AI apps and manage them in production. Managed cloud is available for user authentication and secure data connection.
- **No HTML/CSS knowledge required🔰** - With **Markdown-based syntax** and **pre-made components**, you can create flexible, visually appealing designs without writing a single line of HTML or CSS.
- **Customizable 🛠️** - **Chain Python and SQL** for advanced AI workflows. Custom CSS and custom React components are available for building tailored UI.
## Quick start
1. Install morph
```bash
pip install morph-data
```
2. Create a new project
```bash
morph new
```
3. Start dev server
```bash
morph serve
```
4. Visit `http://localhsot:8080` on browser.
## How it works
Understanding the concept of developing an AI app in Morph will let you do a flying start.
1. Develop the AI workflow in Python and give it an alias.
2. Create an .mdx file. Each .mdx file becomes a page of your app.
3. Place the component in the MDX file and specify the alias to connect to.
```
.
├─ pages
│ └─ index.mdx
└─ python
└─ chat.py
```
## Building AI Apps
### A little example
1. Create each files in `python` and `pages` directories.
Python: Using Langchain to create a AI workflow.
```python
import morph
from morph import MorphGlobalContext
from morph_lib.stream import stream_chat
from langchain_openai import ChatOpenAI
from langchain_core.messages import HumanMessage
@morph.func
def langchain_chat(context: MorphGlobalContext):
llm = ChatOpenAI(model="gpt-4o")
messages = [HumanMessage(context.vars["prompt"])]
for token in llm.stream(messages):
yield stream_chat(token.content)
```
MDX: Define the page and connect the data.
```typescript
# 🦜🔗 Langchain Chat
```
2. Run `morph serve` to open the app!
## Documentation
Visit https://docs.morph-data.io for more documentation.
## Contributing
Thanks for your interest in helping improve Morph ❤️
- Before contributing, please read the [CONTRIBUTING.md](CONTRIBUTING.md).
- If you find any issues, please let us know and open [an issue](https://github.com/morph-data/morph/issues/new/choose).
## Lisence
Morph is [Apache 2.0](https://www.apache.org/licenses/LICENSE-2.0) licensed.