appsmith VS streamlit

appsmith — Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API.

For instance, although we don't have a native signature capture widget (yet), you can easily build one with just a few lines of JavaScript, and the signaturePad.js library.

Effective communication and efficient meeting management are key to a team's success in the modern workplace. Recognizing this, we will develop an AI-powered meeting assistant app to transform Google Meet recordings into automatically generated meeting notes with key takeaways and action items. The blog post is tailored for every creator from developers to no-coders who are interested in the intersection of AI and productivity tools. It's particularly useful for those with limited AI-development experience and who want to build AI applications by using simple low-code tools like Unbody and Appsmith.

And if you don't need a mobile app and can get by with web only, check out Appsmith. It's open-source, can connect to Google Sheets, Airtable, and any API or database, and is free for unlimited users and apps. Feel free to DM me if you need a hand getting started with either one. I'm Joseph from the Appsmith Developer Relations team, and GreenFlux on the AppSheet forums.

Appsmith- Build build custom software on top of your data.

This wasn't an easy journey. While this functionality was in high demand, early versions were frustrating to use. In our earliest implementations, it wasn't even possible to pinpoint where the conflicts were in a file. Even members of the Appsmith development team would avoid using our early Git implementations. We even had a rule for our internal “Hackathons” that using the Git feature was banned because it kept breaking! So we know why other app platforms had avoided fully implementing Git: it really was a challenge to get it working right.

Suggest features and help to guide Appsmith’s future: Appsmith's community keeps us at the forefront of internal tools with feature requests for the latest third-party integrations and robust community support.

Ever tried building a responsive web application using AppSmith as the frontend and Baserow as the backend? Well, Frederik Duchi created a new set of videos showcasing the entire process! The videos include an interesting use case: reporting a nest of Asian hornets in an area. 🤯

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

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!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/

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.

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.

Install the Stable Diffusion tools and checkpoints, and run it all with Streamlit.