Short.io
Bitly
Cutt.ly
PixelMe
Rebrandly
YOURLS
TinyURL
Anonymous URL Shortener
OpenCV
Pandas
Scikit-learn
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
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Based on our record, OpenCV should be more popular than Short.io. 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.
Same, but a little more elegant is short.io. It's a link shortener, but with a $19/month plan you can add a ton of customization to your links. One of those being limit on clicks. Same problem here that the file is still hosted elsewhere and available if they happen to copy the URL from the address bar. Source: about 1 year ago
Can I ask you how you have integrated short.io into your app? Via Zapier or API? Source: almost 2 years ago
Just tried it and https://short.io only allows domains that end with specific TLDs (ICANN's list). So while nothing in Handshake is blocking the service, the service needs to loosen up the restrictions to be able to link handshake names. Source: almost 2 years ago
Https://short.io on their free tier you can make a smart link like listen.yourdomain.com that sends an apple mobile user to your podcast on iOS, an android mobile user to your podcast on google's podcast app, and a desktop/laptop browser to your website. Source: about 2 years ago
Use conversion and link tracking (short.io is better than bitly). Source: about 2 years 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 / 19 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
Bitly - Get the most out of your social and online marketing efforts. Own, understand and activate your best audience through the power of the link with Bitly Enterprise.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Cutt.ly - Free custom URL Shortener and branded URLs with advanced links tracking and Link Management Platform & API.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
PixelMe - URL shortener for savvy marketers
NumPy - NumPy is the fundamental package for scientific computing with Python