Anvil.works
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Anvil is a powerful online platform that lets you build web applications with nothing but Python. It comes with two-click deployment, built-in user authentication, easy-to-use databases and loads more!
Learn all about Anvil in 80 seconds: https://youtu.be/3V-3g1mQ5GY
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Based on our record, Anvil.works should be more popular than OpenCV. It has been mentiond 95 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.
Anvil (https://anvil.works) | Developer Advocate | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide a GUI framework!) We’re... - Source: Hacker News / 5 days ago
Anvil.works - Web app development with nothing but Python. Free tier with unlimited apps and 30-second timeouts. - Source: dev.to / 5 months ago
Anvil (https://anvil.works) | Senior Developer | Cambridge, UK | ONSITE, VISA | Full-time/part-time/flexible We make an open-source web framework, an online code editor, a GUI builder, and a PaaS hosting platform. Together, you can build and host a full-stack web application - and all you need is a little Python. (Yes, even the client-side code - we compile Python to JS and provide our own GUI framework!) We’re... - Source: Hacker News / 5 months ago
Have a look at https://anvil.works. - Source: Hacker News / 6 months ago
The problem with low-code platform is that you are always restricted and can't go beyond what they offer. And someday, you will run across a problem that you can never solve with that platform. But there is a better way to do it. In my experience Anvil is the fastest way to develop a web apps. It is a framework that lets you do everything including Frontend, Backend and Database using just Python. I started using... - Source: Hacker News / 10 months ago
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 / 22 days ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / about 2 months 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
Unity - The multiplatform game creation tools for everyone.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Blender - Blender is the open source, cross platform suite of tools for 3D creation.
NumPy - NumPy is the fundamental package for scientific computing with Python