hCaptcha Reviews

1. Stan

   | Founder at SaaSHub | about 4 years ago
   It's super easy, straightforward and shouldn't take you more than 20-40 minutes to integrate

   To summarise the process of migrating from reCaptcha to hCaptha:

   1. 👌 It's super easy, straightforward and shouldn't take you more than 20-40 minutes
   2. 👁 You are feeding less data to Google
   3. 💸 You earn crypto/money (I have no idea what's the potential though)

   Here it is my original review

   🏁 Competitors: reCAPTCHA

   👍 Pros:    Easy integration|Privacy concisous|You earn money

NumPy Reviews

hCaptcha mentions (4)

• Figured out how to make HCaptcha work -- Instructions Inside.

  That's it, and HCaptcha will start working. I would imagine it's a better idea to add a specific site exception for hcaptcha.com, and I'm sure I will later, but just really didn't have the patience to do it via screen reader right now. Source: over 1 year ago

• Discovering OpenZeppelin Defender features with an NFT Game

  Finally, we build a front end with a captcha feature with NextJS and hCaptcha. - Source: dev.to / about 2 years ago

• I can't log into Bitwarden.....

  I have Ublock and UMatrix running. Had to whitelist hcaptcha.com and bitwarden.com to get the challenge to pop up. Source: about 2 years ago

• New Bungie store password reset broken :(

  First of all, you can stop trolling. It's not about the actual technology, as it may be hcaptcha.com for change or any others like that. It's about not relying on badly aged technology which is only creating problems for users, not for the bots, as this level of noise and numbers/letters is no longer an issue even for javascript-based AI. Source: almost 3 years ago

NumPy mentions (112)

• Essential Deep Learning Checklist: Best Practices Unveiled

  How to Accomplish: Develop a script that iterates over the image database, preprocesses each image according to the model's requirements (e.g., resizing, normalization), and feeds them into the model for prediction. Ensure the script can handle large datasets efficiently by implementing batch processing. Use libraries like NumPy or Pandas for data management and TensorFlow or PyTorch for model inference. Include... - Source: dev.to / 20 days ago

• Documenting my pin collection with Segment Anything: Part 3

  NumPy: This library is fundamental for handling arrays and matrices, such as for operations that involve image data. NumPy is used to manipulate image data and perform calculations for image transformations and mask operations. - Source: dev.to / 20 days ago

• Awesome List

  NumPy - The fundamental package for scientific computing with Python. NumPy Documentation - Official documentation. - Source: dev.to / 25 days ago

• NumPy for Beginners: A Basic Guide to Get You Started

  This guide covers the basics of NumPy, and there's much more to explore. Visit numpy.org for more information and examples. - Source: dev.to / 27 days ago

• 2 Minutes to JupyterLab Notebook on Docker Desktop

  Below is an example of a code cell. We'll visualize some simple data using two popular packages in Python. We'll use NumPy to create some random data, and Matplotlib to visualize it. - Source: dev.to / 10 months ago