
Saasufy
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A platform for building custom SaaS applications using AI with no-code. Optimized to reduce the complexity and number of errors.
Plotly 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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Plotly might be a bit more popular than Saasufy. We know about 34 links to it since March 2021 and only 28 links to Saasufy. 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.
Reading this is strange to me because it's exactly what I've been working towards for the last 14 years or so... But TBH, it came together piece by piece. I've built a full implementation in Node.js with a set of declarative frontend components. https://github.com/Saasufy/saasufy-components?tab=readme-ov-file#saasufy-components And https://saasufy.com/ It's surprising how much functionality you can assemble with... - Source: Hacker News / 28 days ago
I'm working on the backend your AI doesn't have to build https://saasufy.com/ For vibe coders. With a focus on: - Security - Analytics - Realtime capabilities. - Source: Hacker News / about 1 month ago
This is a good article. I've been working on such infrastructure to facilitate safe vibe coding with a focus on simple access control and analytics. https://saasufy.com/ I think this is spot on but the new abstractions are yet to be popularized but I'm seeing some clear patterns arise. This is something I spend a lot of time thinking about because the new abstractions must fit within existing paradigms to provide... - Source: Hacker News / about 1 month ago
This is neat. I've been dreaming of something like this to host frontends connected to my backend platform https://saasufy.com - Because it's built with WebSockets, it doesn't have CORS limitations so I can literally make Claude Code create an index.html file on my computer's file system, then open it directly from the file system by double-clicking it (served via file:// protocol) then, when I'm happy, I can grab... - Source: Hacker News / 2 months ago
When building agent integration for my serverless backend https://saasufy.com/, I decided to use skill markdown files curl commands inside instead of building out MCP tools. The curl command is just so popular, models are really good at using it. Also I like that curl is for bash and my platform requires JSON payloads; it makes the separation clear to the agent. I find it to be very reliable. - Source: Hacker News / 2 months 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
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