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Based on our record, Bubble.io seems to be a lot more popular than TABLUM.IO. While we know about 443 links to Bubble.io, we've tracked only 3 mentions of TABLUM.IO. 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.
AI tools are democratizing app development, enabling both seasoned programmers and non-technical users to bring ideas to life faster than ever. They handle everything from generating code in natural language to optimizing user experiences through data-driven insights. This article explores the diverse array of AI tools available, drawing on insights from industry experts to highlight their strengths and... - Source: dev.to / about 2 months ago
Formatting numbers and currencies is one of those small yet powerful details that can significantly enhance the user experience of your app. Whether you're building a finance dashboard, e-commerce store, or expense tracker in Bubble.io, this guide will help you display values in a way that's clean, readable, and user-friendly. - Source: dev.to / 4 months ago
If you're building with Bubble.io and want to make your app more dynamic and user-friendly, adding filters to repeating groups or tables is a must-have feature. - Source: dev.to / 4 months ago
Bubble.io combines visual development with AI assistance to create a powerful platform for building complex web applications. While not purely AI-driven, Bubble has integrated AI features throughout its platform to assist with design decisions, workflow creation, and troubleshooting. - Source: dev.to / 5 months ago
Low-code and no-code (LCNC) platforms are reshaping software development by enabling rapid application creation. Tools like OutSystems, Microsoft Power Apps, and Bubble facilitate development through drag-and-drop interfaces and pre-built components, minimizing the need for extensive coding. This empowers citizen developers and allows for quicker prototyping and deployment. - Source: dev.to / 5 months ago
For the data loaded from the raw and unstructured data sources (RESTful APIs, files, feeds) I'd recommend checking tablum.io. The data first gets into the staging SQL DB where you can apply transformations in SQL (ClickHouse dialect with hundreds of ready-to-use functions for aggregations, transformations, string and array processing, etc). After that, you can set up a pipeline to external DWH or DB. Or just... Source: over 2 years ago
Fairly easy to parse it with Python (or any other scripting languages that support regular expressions). Besides, there're no-code parsers that can do that. E.g. tablum.io, it has a regexp parser that turns poorly formatted text into an SQL table. All you need it is to provide the regular expression (regexp) to split the text (per-line basis or the entire text) into chunks that become SQL rows and columns, after... Source: over 2 years ago
You're right. There should be some way to safely pass the authentication token without storing it in the query. BTW, to keep all data within the company network perimeter and no share any keys with the cloud service, one can install tablum.io as a self-hosted version on a Linux server (it runs in Docker). Source: over 2 years ago
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