Evidently AI
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Dropsource is ideal for startups, small businesses, or individuals looking to quickly prototype and develop mobile applications without extensive coding knowledge. It's also suitable for developers who want to accelerate the development process with a visual interface.
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Based on our record, Evidently AI seems to be more popular. It has been mentiond 2 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.
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: about 4 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 / almost 5 years ago
Langfuse - Langfuse is an open-source LLM engineering platform that helps teams collaboratively debug, analyze, and iterate on their LLM applications.
Siberian CMS - Siberian is an Open-Source and Free App Maker. Unlimited Push Notifications. Unlimited features. Fully Customizable. Download it and build your own app now!
LangSmith - Build and deploy LLM applications with confidence
GoodBarber - GoodBarber is an all-in-one, no-code platform to build native iOS, Android, and Progressive Web Apps — with design, hosting, CMS, push notifications, and mobile e-commerce all included.
Deepchecks Monitoring - Open Source Monitoring for AI & ML
Mobidonia - Native mobile app builder for iOS, Android & Apple Watch