Skip to main content

The simplicity of FastHTML with the power of Tailwind

Project description

MonsterUI

MonsterUI is a UI framework for FastHTML for building beautiful web interfaces with minimal code. It combines the simplicity of Python with the power of Tailwind. Perfect for data scientists, ML engineers, and developers who want to quickly turn their Python code into polished web apps without the complexity of traditional UI frameworks. Follows semantic HTML patterns when possible.

MonsterUI adds the following Tailwind-based libraries Franken UI and DaisyUI to FastHTML, as well as Python's Mistletoe for Markdown, HighlightJS for code highlighting, and Katex for latex support.

Getting Started

Installation

To install this library, uses

pip install MonsterUI

Getting Started

TLDR

Run python file.py on this to start:

from fasthtml.common import *
from monsterui.all import *

# Choose a theme color (blue, green, red, etc)
hdrs = Theme.blue.headers()

# Create your app with the theme
app, rt = fast_app(hdrs=hdrs)

@rt
def index():
    socials = (('github','https://github.com/AnswerDotAI/MonsterUI'),
               ('twitter','https://twitter.com/isaac_flath/'),
               ('linkedin','https://www.linkedin.com/in/isaacflath/'))
    return Titled("Your First App",
        Card(
            H1("Welcome!"),
            P("Your first MonsterUI app", cls=TextPresets.muted_sm),
            P("I'm excited to see what you build with MonsterUI!"),
            footer=DivLAligned(*[UkIconLink(icon,href=url) for icon,url in socials])))

serve()

LLM context files

Using LLMs for development is a best practice way to get started and explore. While LLMs cannot code for you, they can be helpful assistants. You must check, refactor, test, and vet any code any LLM generates for you - but they are helpful productivity tools. Take a look inside the llms.txt file to see links to particularly useful context files!

In addition you can add /md (for markdown) to a url to get a markdown representation and /rmd for rendered markdown representation (nice for looking to see what would be put into context.

Step by Step

To get started, check out:

  1. Start by importing the modules as follows:
from fasthtml.common import *
from monsterui.all import *
  1. Instantiate the app with the MonsterUI headers
app = FastHTML(hdrs=Theme.blue.headers())

# Alternatively, using the fast_app method
app, rt = fast_app(hdrs=Theme.slate.headers())

The color option can be any of the theme options available out of the box

From here, you can explore the API Reference & examples to see how to implement the components. You can also check out these demo videos to as a quick start guide:

More resources and improvements to the documentation will be added here soon!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

monsterui-1.0.18.tar.gz (32.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

monsterui-1.0.18-py3-none-any.whl (32.5 kB view details)

Uploaded Python 3

File details

Details for the file monsterui-1.0.18.tar.gz.

File metadata

  • Download URL: monsterui-1.0.18.tar.gz
  • Upload date:
  • Size: 32.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for monsterui-1.0.18.tar.gz
Algorithm Hash digest
SHA256 3f3e18ac5d234aae857ff34c2f4b76b9e60b19159f58ef78e21856d5dfd37b98
MD5 067fcb10a371f8fc222133a56fa6d9c2
BLAKE2b-256 2c5ebc38197536c022f37d8a4668e1cfe01cbd1176019c63d5904156b937e90f

See more details on using hashes here.

File details

Details for the file monsterui-1.0.18-py3-none-any.whl.

File metadata

  • Download URL: monsterui-1.0.18-py3-none-any.whl
  • Upload date:
  • Size: 32.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.8

File hashes

Hashes for monsterui-1.0.18-py3-none-any.whl
Algorithm Hash digest
SHA256 6a026e5cfc950155f167dcd2214292dfb3a2c9227d63c99b00073736b15730a6
MD5 3807fb7c9b9aed0dd0a8c8d58a2b99a9
BLAKE2b-256 d8b7c2d0d89093822adf19b55f3f8bafb8edf62338aa6f1a31e179277dd2045a

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page