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Finally, you can develop browser automation without the pain and the cost of deploying a fleet of headless browsers. Connect to BrowserCat, scale globally, and pay only for what you use. Scrape the web, automate your workflows, test your apps, generate beautiful images and pdfs from HTML, give you AI agent web access, and more.
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BrowserCat's answer:
BrowserCat is built on robust open source technology that's under active development. The star of the show is Playwright, which is our recommended automation library. It's maintained by Microsoft, it officially supports JS, Python, Java, and .NET, and it's fast becoming the industry standard. BrowserCat also supports Puppeteer and numerous unofficial Playwright ports to Go, Rust, PHP, and Ruby.
BrowserCat's answer:
Unlike other headless browser providers, BrowserCat gives you total control over your browser instances for as long as you need them. Leverage the browsers cache, cookies, and storage for bespoke browser automation jobs that truly differentiate your business from the competition.
BrowserCat's answer:
In previous corporate and startup gigs, I faced the challenge of developing robust, fast, and scalable browser automation. Most APIs in the space are too limiting for our needs and they were often incredibly slow. On the other hand, hosting your own headless browser fleet was a pain. I founded BrowserCat to make scaling up browser automation as easy, reliable, and affordable as deploying a serverless function.
BrowserCat's answer:
We primarily serve developers, whether the seek to develop unique browser automation jobs or radically improve the performance of their integration tests. However, we frequently work with management, biz ops, and product leaders to solve problems they can't solve any way but through automation.
BrowserCat's answer:
BrowserCat is built for performance, scalability, stability, and affordability using modern web technologies. Many of our competitors were early to market and compete on entrenchment rather than functionality. Still others are bound by their existing users to continue supporting legacy tech, rather than embrace improved, modern standards. BrowserCat is focused on supporting your for the next ten years, rather than the past ten years.
Based on our record, Keras seems to be more popular. It has been mentiond 35 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.
The unchallenged leader in AI development is still Python. And Keras, and robust community support. - Source: dev.to / 26 days ago
If you need simplicity, Keras is a great high-level API built on top of TensorFlow. It lets you quickly prototype neural networks without worrying about low-level implementations. Keras is perfect for getting those first models up and running—an essential part of the startup hustle. - Source: dev.to / 7 months ago
At its heart is TensorFlow Core, which provides low-level APIs for building custom models and performing computations using tensors (multi-dimensional arrays). It has a high-level API, Keras, which simplifies the process of building machine learning models. It also has a large community, where you can share ideas, contribute, and get help if you are stuck. - Source: dev.to / 8 months ago
The core model architecture for Magika was implemented using Keras, a popular open source deep learning framework that enables Google researchers to experiment quickly with new models. - Source: dev.to / 12 months ago
As a beginner, I was looking for something simple and flexible for developing deep learning models and that is when I found Keras. Many AI/ML professionals appreciate Keras for its simplicity and efficiency in prototyping and developing deep learning models, making it a preferred choice, especially for beginners and for projects requiring rapid development. - Source: dev.to / about 1 year ago
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Microlink - Extract structured data from any website
PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...
Apify - Apify is a web scraping and automation platform that can turn any website into an API.
Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
Scrapy - Scrapy | A Fast and Powerful Scraping and Web Crawling Framework
