OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Thunkable
Bubble.io
MIT App Inventor
Kodular
Android Studio
AppyPie AppMakr
Xamarin.Android
AppsGeyser
OpenCV ThunkableBased on our record, OpenCV should be more popular than Thunkable. 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 / 14 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
OP you don't need to know coding at all to make app. Try something like App Inventor Thunkable. Source: over 1 year ago
What do you think will be the best mobile app builder no code in 2023? a) Adalo b) Flutterflow c) Moxly d) Thunkable e) Glide 2. Why do you think that will be the case? 3. What are the benefits of using a mobile app builder no code? 4. Do you have any experience using a mobile app builder no code? If so, what was your experience like? 5. Do you think more people will start using mobile app builders no... Source: over 1 year ago
Thunkable is a no-code tool designed specifically for building native mobile apps. Features include drag-and-drop components, advanced logic, native mobile app functionality, and easy publication. Thunkable apps can be directly published from the platform to the Apple App Store, Google Play Store, or the web. Source: over 2 years ago
I had ideas to build an app, and made few 2 years ago or so. Indeed these technologies are great to start with. I would suggest going with Kodular.io or thunkable.com instead of appinventor. There are many pros of using these, cuz I've personally used them to build stuff I can say go with either of the two. They are completely free to start with. Source: almost 3 years ago
For the app maybe you could use something like https://thunkable.com/. Perhaps you could try something like https://firebase.google.com/ for the backend not sure if it is to technical, not used either of the tools myself. Source: almost 3 years ago
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Bubble.io - Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
MIT App Inventor - App Inventor is a cloud-based tool, which means you can create apps for phones or tablets right in your web browser.
NumPy - NumPy is the fundamental package for scientific computing with Python
Kodular - Much more than a modern app creator without coding