android-bootstrap
streamlit
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android-bootstrap | streamlit | |
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21 | 251 | |
57 | 30,948 | |
- | 3.6% | |
1.8 | 9.8 | |
almost 3 years ago | 5 days ago | |
Kotlin | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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.
android-bootstrap
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Rasp Pi OS Bullseye has dropped support of PiCamera - breaks Lobe on Rasp P
Found a fix here? There is some bugs in the lobe.ai code:
I'm having similar AttributeError . Wondering if this is due to the recent version changes in lobe.ai?
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can't deploy lobe ai web
I can run the lobe.ai web version locally.
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[Aurora Nutrio] A smart cutting board that scans your food and knows its content.
You don't need any "contact measurement" or any magic "near infra-red specroscopy" nonsense. Just pictures of things in a specific location. Image Classification is not magic - and is only getting easier as time goes on as more and more tools are developed for building them. Heck, if you have a webcam you could build a classifier yourself with Microsoft's Lobe in half an hour that can tell an apple from a banana.
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I'm creating a mobile app, that would use machine learning to show Item name and specs when you point camera at it. I made a prototype that kinda works on 7 items, I made a dataset to train the full model. Share your thoughts/advises in the comments. Would you like an app like this?
For the model I'm looking for a good advise. Now I'm trying to load it up to no-code ML app called lobe.ai. It worked satisfactory for 7 items and screenshots (instead of photos). The first prototype dataset also didn't have position, size, blur and perspective variations.
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PalletML (Beta) - Deploy TensorFlow models to Android without code, make real-time classifications, and share models easily
Pallet supports most image classification models with a standard signature, including models exported from AutoML tools including Lobe.ai, Google Cloud Vision, and Teachable Machine.
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[D] Whatβs the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
If you are looking to train vision models for free, I would recommend Lobe
streamlit
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Show HN: Buefy Web Components for Streamlit
While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.
Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.
Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.
Demo: https://streamfy.streamlit.app
All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.
Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]
Thanks!
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Show HN: Hyperdiv β Reactive, immediate-mode web UI framework for Python
Looks cool. How do you see this differing from streamlit? https://streamlit.io/
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Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
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Using LangServe to build REST APIs for LangChain Applications
In this tutorial, you'll construct a fully functional Streamlit application from the ground up. Streamlit lets you turn simple data scripts into web applications without traditional front-end tools. This application will be capable of downloading audio from any YouTube video, transcribing it using Deepgram, and then summarizing the content with the assistance of Mistral 7B, all streamlined through the capabilities of Langchain.
- Ask HN: Can I create a mobile and Web App using Python/Python Framework?
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Creating Videos with Stable Video Diffusion
Install the Stable Diffusion tools and checkpoints, and run it all with Streamlit.
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Build a Streamlit app with LangChain and Amazon Bedrock
Streamlit is an open-source Python library which makes it easy to build web applications for machine learning and data science. It has a set of rich APIs for visual components including several chat elements, making it quite convenient to build conversational agents or chatbots, especially when combined with LLMs (Large Language Models).
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Let's build your first ML app in Google Cloud Run
Having successfully deployed your model endpoint, it is now time to show the world how it works, to achieve this we build a web-interface for anyone to use. Enter Streamlit, think of it as a bridge between your data and the world, letting you present insights, perform analyses, and even collect user input with ease. It's perfect for data scientists, analysts, and anyone who wants to leverage the power of their data in a visually appealing and interactive way.
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Show HN: Taipy β Turns Data and AI algorithms into full web applications
any clues how does that compare to https://github.com/streamlit/streamlit ?
What is the business model for https://www.taipy.io/, https://streamlit.io/, or https://www.gradio.app/? These are nice tools - but how will the sponsoring businesses support themselves? I didn't see any mention of enterprise plans, etc. Is the answer simply that "we've not announced our revenue model yet"? What should one expect?
What are some alternatives?
PyWebIO - Write interactive web app in script way.
gradio - Build and share delightful machine learning apps, all in Python. π Star to support our work!
superset - Apache Superset is a Data Visualization and Data Exploration Platform
nicegui - Create web-based user interfaces with Python. The nice way.
reflex - πΈοΈ Web apps in pure Python π
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.
dash - Data Apps & Dashboards for Python. No JavaScript Required.
datapane - Build and share data reports in 100% Python
fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production
panel - Panel: The powerful data exploration & web app framework for Python
nodejs-dialogflow - Node.js client for Dialogflow: Design and integrate a conversational user interface into your applications and devices.
wave - Realtime Web Apps and Dashboards for Python and R