streamlit
Flask
streamlit | Flask | |
---|---|---|
266 | 135 | |
32,840 | 66,794 | |
3.4% | 0.7% | |
9.8 | 8.6 | |
1 day ago | 8 days ago | |
Python | Python | |
Apache License 2.0 | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
streamlit
- Streamlit: A faster way to build and share data apps
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Build your AI Travel Agent with GPT-4o using Python
You'll use some amazing tools to make this happen. Streamlit will help you create a friendly and interactive interface; Phidata will handle your data; OpenAI's GPT-4 will provide smart conversational abilities; and Google Search-Results will fetch the best travel options. Together, these tools will allow you to build smart, responsive AI to plan your trips as if you had a personal travel guardian.
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WizSearch: 🏆 Winning My First AI Hackathon 🚀
UI: Streamlit for creating an interactive and user-friendly interface.
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Learnings from GenAI on AWS at Deloitte workshop
Streamlit - quickly creates web UI from Python without much frontend skills, great for POCs (Streamlit API Reference)
- A quick comparison: Streamlit, Dash, Reflex and Rio
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Build A Dual-Purpose App: Text-to-Image and Custom Chatbot Using Comet, GPT-3.5, DALL-E 2, and Streamlit
Streamlit is a platform that enables you to build web applications that can be hosted in the cloud in just minutes. It helps you build interactive dashboards, generate reports, or create chat applications. Once you’ve created an app, you can use the Community Cloud platform to deploy, manage, and share your application.
- Streamlit: Créer des apps en Python très simplement
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Create a Python app easily with Streamlit
Go to the Streamlit website, and you'll see written in front of you: "A faster way to build and share data apps". That seems to be what we're looking for 😄. A few minutes browsing the documentation confirms it. It's simple to install, use, and deploy, and it's all in Python. Let's see if it fits the bill!
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Developing a Generic Streamlit UI to Test Amazon Bedrock Agents
I decided to use Streamlit to build the UI as it is a popular and fitting choice. Streamlit is an open-source Python library used for building interactive web applications specially for AI and data applications. Since the application code is written only in Python, it is easy to learn and build with.
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Creando Subtítulos Automáticos para Vídeos con Python, Faster-Whisper, FFmpeg, Streamlit, Pillow
Streamlit (https://streamlit.io/)
Flask
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Ask HN: High quality Python scripts or small libraries to learn from
I'd suggest Flask or some of the smaller projects in the Pallets ecosystem:
https://github.com/pallets/flask
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Rapid Prototyping with Flask, Bootstrap and Secutio
#!/usr/bin/python # # https://flask.palletsprojects.com/en/3.0.x/installation/ # from flask import Flask, jsonify, request contacts = [ { "id": "1", "firstname": "Lorem", "lastname": "Ipsum", "email": "[email protected]", }, { "id": "2", "firstname": "Mauris", "lastname": "Quis", "email": "[email protected]", }, { "id": "3", "firstname": "Donec Purus", "lastname": "Purus", "email": "[email protected]", } ] app = Flask(__name__, static_url_path='', static_folder='public',) @app.route("/contact//save", methods=["PUT"]) def save_contact(id): data = request.json contacts[id - 1] = data return jsonify(contacts[id - 1]) @app.route("/contact/", methods=["GET"]) @app.route("/contact//edit", methods=["GET"]) def get_contact(id): return jsonify(contacts[id - 1]) @app.route('/') def root(): return app.send_static_file('index.html') if __name__ == '__main__': app.run(debug=True)
- Microdot "The impossibly small web framework for Python and MicroPython"
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Why do all the popular projects use relative imports in __init__ files if PEP 8 recommends absolute?
I was looking at all the big projects like numpy, pytorch, flask, etc.
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10 Github repositories to achieve Python mastery
Explore here.
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Ask HN: What would you use to build a mostly CRUD back end today?
I may use Flask-Admin initially to offload the "CRUD" operations to have an initial prototype fast but then drop it ASAP because I don't want to write a "flask-admin application" to fight against later on. If the application is mainly "CRUD", then Flask-Admin is suitable.
Now...
Would you do a breakdown/list of all the jobs you've done by sector/vertical and by function/role and by application functionality?
- [0]: https://flask.palletsprojects.com
- [1]: https://flask-admin.readthedocs.io/en/latest
- [2]: https://flask.palletsprojects.com/en/2.3.x/patterns/celery
- [3]: https://sentry.io
- [4]: https://posthog.com
- [5]: https://www.docker.com
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Implementing continuous delivery pipelines with GitHub Actions
In the lab to follow, we will be setting up an end-to-end DevOps workflow for a Flask microservice with GitHub Actions, using a self-managed custom runner for maximal control over the pipeline execution environment and automating deployments to a local Kubernetes cluster. Furthermore, we will construct separate pipelines for our "development" and "production" environments to further elaborate on the concepts of continuous deployment and delivery.
- How do you iterate on a library built locally?
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Flask Application Load Balancing using Docker Compose and Nginx
Flask Micro web Framework: You will use Flask to build a Flask web application.
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Open Source Flask-based web applications
In an earlier post I mentioned a bunch of Open Source web applications. Let's now focus on the ones written in Python using Flask the light-weight web framework.
What are some alternatives?
PyWebIO - Write interactive web app in script way.
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
gradio - Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Django - The Web framework for perfectionists with deadlines.
nicegui - Create web-based user interfaces with Python. The nice way.
AIOHTTP - Asynchronous HTTP client/server framework for asyncio and Python
superset - Apache Superset is a Data Visualization and Data Exploration Platform
starlette - The little ASGI framework that shines. 🌟
reflex - 🕸️ Web apps in pure Python 🐍
quart - An async Python micro framework for building web applications.
PySimpleGUI - Python GUIs for Humans! PySimpleGUI is the top-rated Python application development environment. Launched in 2018 and actively developed, maintained, and supported in 2024. Transforms tkinter, Qt, WxPython, and Remi into a simple, intuitive, and fun experience for both hobbyists and expert users.
Tornado - Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed.