Appsmith
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Turn any datasource into an internal app in minutes. Appsmith lets you drag-and-drop UI components to build pages, connect to any API, database or GraphQL source and write logic with JavaScript objects.
AppsmithPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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Based on our record, Plotly should be more popular than Appsmith. It has been mentiond 34 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Founder of Appsmith (https://appsmith.com) here. This is very unfortunate news. I have a lot of respect for the founders & the product. In fact I even used Airplane for a few side projects in the past. It's sad to see the product die. IMO, most folks alluding to them running out money is incorrect. I think they simply ran out of energy or the will to go on. This is very common among early stage companies. But, as... - Source: Hacker News / over 2 years ago
As well as Appsmith & Retool. They all have generous free tiers, in my opinion. Each can be self-hosted too. Source: over 3 years ago
Hello, you can check out Appsmith. It's an open-source platform with all the features you mentioned and it's great for building business apps! Source: over 3 years ago
Appsmith is self hosted right now. It’s as customizable as Retool, easy as Internal, and less glitchy than Budibase. Tooljet also offers a self hosted version, but Appsmiths dev team updates improvements so much faster. Source: almost 4 years ago
If you’ve followed Appsmith for a while, you know that we can do a lot in 30 days! In the second month of 2022, we cleared a few bugs and created an all-new event called How Do I Do X, where many frequently asked questions live. Source: over 4 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
Retool - Build custom internal tools in minutes.
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
Budibase - What Wordpress is to websites, Budibase is to web apps. Budibase is a free and open source web app builder for creating, launching and growing web applications. Budibase eliminates repetition and dramatically reduces development time. Check it out.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Jet Admin - Build business apps really fast
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.