JitBlox
Framer
Appsmith
Bootstrap Studio
Penpot
Momen
ProtoPie
Sktch.io
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
JitBlox is an online visual environment for designing and prototyping component-based web applications without writing a single line of code. Seamlessly use popular UI libraries such as Bootstrap and Material Design, see your app come to life thanks to the real-time preview, and download your app's source code with a single click. Currently, JitBlox exclusively generates Angular apps.
Integrated visual designer JitBlox accelerates the design process compared to a code editor thanks to the intuitive drag-and-drop designer: quickly add basic widgets and layouts or configure complex components from proven UI libraries using an interactive toolbox. Our property editors eliminate the need to dig through documentation or memorize cryptic CSS classes.
Design with realistic data Test your designs with realistic data thanks to built-in modeling capabilities and a mock data editor. Connect your data to your user interface and create loops and other logic - all without coding.
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JitBlox's answer
JitBlox is a developer-friendly low-code tool: it integrates battle-tested UI components from popular libraries. Our toolbox lets you add components, layouts, and design fragments with just a few clicks and allows you to configure widgets interactively using a real-time preview. The source code that JitBlox generates follows best practices, making the design handoff a no-brainer.
JitBlox's answer
By embracing thoroughly tested UI libraries such as Bootstrap and Material Design, JitBlox avoids vendor lock-in while saving a lot of testing and bug fixing further down the line in your project. Starting a web project with JitBlox is super fast: creating a working app (new or from a template) requires no downloads and takes less than a second (depending on how quickly you can come up with a name for your project 😉). Compared to most code-based prototyping solutions, you also get a working app and a real-time preview, but without the hassle of setting up a development environment, installing frameworks, and copying and pasting snippets of code from the web.
JitBlox's answer
The primary users of JitBlox are developers with design skills, but our audience also certainly includes tech-savvy (interaction) designers who want to build an interactive prototype.
JitBlox's answer
JitBlox is a spin-off of an open-source code generation and modeling platform named Yellicode: after successfully using Yellicode to generate code for several Angular apps, the developer (Maurice de Laat) decided to build a small UI around it, resulting in JitBlox's first MVP in 2020... As a matter of fact, JitBlox's code generation and modeling capabilities are still powered by Yellicode.
JitBlox's answer
The JitBlox designer is built primarily with TypeScript, Rollup and Angular. Its backend is built with ASP.NET Core and the real-time preview is powered by Webpack and WebRTC.
JitBlox's answer
Based on our record, OpenCV seems to be more popular. It has been mentiond 52 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.
How to Accomplish: Use statistical analysis tools and libraries (e.g., Pandas for tabular data) to calculate and visualize these characteristics. For image datasets, custom scripts to analyze object sizes or mask distributions can be useful. Tools like OpenCV can assist in analyzing image properties, while libraries like Pandas and NumPy are excellent for tabular and numerical analysis. To address class... - Source: dev.to / 15 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 1 month ago
Data analysis involves scrutinizing datasets for class imbalances or protected features and understanding their correlations and representations. A classical tool like pandas would be my obvious choice for most of the analysis, and I would use OpenCV or Scikit-Image for image-related tasks. - Source: dev.to / 7 months ago
You might be able to achieve this with scripting tools like AutoHotkey or Python with libraries for GUI automation and image recognition (e.g., PyAutoGUI https://pyautogui.readthedocs.io/en/latest/, OpenCV https://opencv.org/). Source: 7 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 11 months ago
Framer - 🔥 Design real websites right on the canvas.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Appsmith - Appsmith is an open source web framework for building internal tools, admin panels, dashboards, and workflows.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Bootstrap Studio - Powerful desktop app for creating responsive websites using the Bootstrap framework
NumPy - NumPy is the fundamental package for scientific computing with Python