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Based on our record, imgix seems to be a lot more popular than Evidently AI. While we know about 21 links to imgix, we've tracked only 2 mentions of Evidently AI. 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.
It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago
Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago
The Unsplash Image API enables limitless API requests, providing developers with the freedom to incorporate images into their apps without speed or quota restrictions. Leveraging Imgix, a sophisticated image processing service, it allows real-time modification of image dimensions and quality directly via URL parameters, facilitating client-side image transformations without extra API calls. - Source: dev.to / 5 months ago
I'm not sure if you have budget for this but companies like https://imgix.com/ and https://supabase.com/docs/guides/storage/serving/image-transformations let you do image transforms on the fly through url query params. Most of them can resize, crop, compress, and transform to webp. Source: 5 months ago
I know that imgix.com provides an API for image manipulations. There may be others. Source: about 1 year ago
I use ImgIX for a long time now. Very satisfied. Https://imgix.com. Source: over 1 year ago
I would highly recommend using Imgix as another image CDN. The free tier is insanely generous. Source: over 1 year ago
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