Smartproxy
Bright Data
Oxylabs
NetNut.io
IPRoyal
Zyte
Storm Proxies
Apify
OpenCV
Scikit-learn
Pandas
NumPy
Dataiku
Exploratory
htm.java
Figure Eight
Smartproxy has been a promising proxy provider since its first days in 2018. They offer a wide selection of proxies (residential, shared and private datacenter proxies) and three full-stack scraping APIs with 100% success rates and a no-code scraper. It has an easy-to-use dashboard, public API, and flexible payment methods. Being awarded for its consumer-centric approach, Smartproxy continues to look for ways to make public data gathering as simple and accessible to everyone as possible.
The key things Smartproxy offers for you:
40M+ high-quality residential IPs with an average speed of <0.5 sec.
Global coverage – target 195+ locations, including cities and 50 US states.
Pay As You Go option - $12.5 per 1GB.
100K+ shared datacenter IPs from the US and Europe.
400K pool of dedicated datacenter IPs from the US.
Unlimited connections and threads.
Full anonymity and security.
30 minutes sticky sessions.
Smart Wallet for easy payment management.
Fantastic 24/7 support.
User-friendly dashboard with a quick and easy proxy setup.
Detailed documentation and an informative blog.
A bunch of free tools with any plan subscription.
3-day money back option.
Smartproxy OpenCVResidential proxy is quite good. High success rate with their proxies even though it is quite expensive
Smartproxy, in my experience, is a solid choice for heavy-duty web scraping tasks. Been using it for bulk data mining. Their proxy pool's massive – good for avoiding blocks and captchas. Speed's decent, uptime mostly consistent. Setup? Straightforward. But yeah, pricing's a bit on the higher side, especially for large-scale operations. Overall, Smartproxy delivers, especially for those heavy scraping needs.
Based on our record, OpenCV seems to be a lot more popular than Smartproxy. While we know about 51 links to OpenCV, we've tracked only 5 mentions of Smartproxy. 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.
Smartproxy: Offers residential proxies with support for HTTP(S) and SOCKS5. It is known for its high success rate and 24/7 technical support. Smartproxy provides a balance between price and performance, making it accessible to less experienced users (Smartproxy). - Source: dev.to / about 1 month ago
For instance, imagine you are conducting market research and need to scrape data from various websites for analysis. By using a residential proxy service like anyip.io or Smart Proxy, you can ensure that your scraping activities are secure and undetectable while maintaining anonymity. Additionally, these services effortlessly handle throttling of threads and swiftly manage captchas. Source: 6 months ago
Smartproxy Rotating residential IPs for multi-accounting. Large rotating residential proxy pool, 195+ countries, no subnets, an easy setup process. The IPs are from both desktop and mobile devices. Different tools for IG automation and affordable price plans ($75/5 GB ($15/GB). However the residential IPs are still P2P, so you have sticky sessions up to 30 min and then proxies rotate. - Source: dev.to / over 1 year ago
Smartproxy is one of the latest rotating residential proxy services to hit the market. Smartproxy offers its users immense features and functionality at affordable rates. If you’re looking for a long-term proxy service to stick to, it’s worth looking at Smartproxy’s unique offerings. - Source: dev.to / almost 3 years ago
This is not so with free proxies because since it’s free, thousands of people have access to it and there are little or no benefits attached to them. With paid proxies, there is better compatibility between the servers that help to prevent constant disconnection each time your proxy server is trying to connect with your internet service provider. Also, with paid proxies, such as Bright Data, Smartproxy, Shifter,... - Source: dev.to / about 3 years ago
Open the camera feed — and use the OpenCV library for real-time computer vision processing. - Source: dev.to / 15 days 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 / 6 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: 6 months ago
- [ OpenCV](https://opencv.org/) instead of YoloV8 for computer vision and object detection. Source: 10 months ago
I came across a very interesting [project]( (4) Mckay Wrigley on Twitter: "My goal is to (hopefully!) add my house to the dataset over time so that I have an indoor assistant with knowledge of my surroundings. It’s basically just a slow process of building a good enough dataset. I hacked this together for 2 reasons: 1) It was fun, and I wanted to…" / X ) made by Mckay Wrigley and I was wondering what's the easiest... Source: 10 months ago
Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
NetNut.io - Residential proxy network with 52M+ IPs worldwide. SERP API, Website Unblocker, Professional Datasets.
NumPy - NumPy is the fundamental package for scientific computing with Python
