Fathom Analytics
Plausible.io
Google Analytics
Matomo
Simple Analytics
umami
Clicky
Mixpanel
Scikit Image
OpenCV
Microsoft Computer Vision API
Amazon Rekognition
Microsoft Video API
Clarifai
SimpleCV
Cloudinary
Fathom Analytics Scikit ImageBased on our record, Fathom Analytics should be more popular than Scikit Image. It has been mentiond 66 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.
So this post is about something I've been chewing on for months but finally moved on: ripping Google Analytics out of three side projects and picking a privacy-focused alternative. Specifically, I'll compare Umami, Plausible, and Fathom โ the three I actually evaluated โ and walk through the migration steps that worked for me. - Source: dev.to / 3 months ago
Fathom is the most "premium" option. No self-hosted version โ it's a paid product, and they lean into that. The upside is it just works, with excellent uptime and performance. - Source: dev.to / 4 months ago
Fathom takes a different approach โ it's a proprietary, hosted-only product. No self-hosting option. They've bet everything on being the simplest, most privacy-respecting paid analytics tool. - Source: dev.to / 4 months ago
I've been using Umami for this โ it's a self-hosted, privacy-focused analytics tool that doesn't require cookie banners and is fully GDPR-compliant out of the box. Compared to alternatives like Plausible (also excellent, but their hosted plan costs more) or Fathom (hosted-only, pricier), Umami hits a sweet spot of simplicity and zero cost if you self-host. You get clean dashboards showing endpoint usage, response... - Source: dev.to / 4 months ago
Fathom is the premium option. It's not open source and not self-hostable, but it's rock solid and has excellent uptime. Starts at $15/month. - Source: dev.to / 4 months ago
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics. - Source: dev.to / over 2 years 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 / over 2 years ago
This is a good cv deep learning book with python examples https://www.manning.com/books/deep-learning-for-vision-systems. If you're pretty comfortable with the concepts of traditional image processing this is a good companion to cv2 (so you don't have to reinvent the wheel) https://scikit-image.org/. Source: over 3 years ago
Also, don't know if you're familiar with Python, but if you need ideas for to implement for future directions : https://scikit-image.org/. Source: almost 4 years ago
There's probably something in scikit-image to do what you want, or close enough to build on. Source: over 4 years ago
Plausible.io - Plausible Analytics is a simple, open-source, lightweight (< 1 KB) and privacy-friendly web analytics alternative to Google Analytics. Made and hosted in the EU, powered by European-owned cloud infrastructure ๐ช๐บ
OpenCV - OpenCV is the world's biggest computer vision library
Google Analytics - Improve your website to increase conversions, improve the user experience, and make more money using Google Analytics. Measure, understand and quantify engagement on your site with customized and in-depth reports.
Microsoft Computer Vision API - Extract rich information from images and analyze content with Computer Vision, an Azure Cognitive Service.
Matomo - Matomo is an open-source web analytics platform
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
