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Evidently AI VS LinkedIn FeatureFu

Compare Evidently AI VS LinkedIn FeatureFu and see what are their differences

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LibHunt tracks mentions of software libraries on relevant social networks. Based on that data, you can find the most popular projects and their alternatives. featured
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Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

LinkedIn FeatureFu logo LinkedIn FeatureFu

Library/tools for advanced feature engineering
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • LinkedIn FeatureFu Landing page
    Landing page //
    2023-10-01

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

LinkedIn FeatureFu videos

No LinkedIn FeatureFu videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Evidently AI and LinkedIn FeatureFu)

Evidently AI

LinkedIn FeatureFu

AI
85 85%
AI
15% 15
Developer Tools
93 93%
Developer Tools
7% 7
Open Source
0 0%
Open Source
100% 100
Data Science And Machine Learning
77 77%
Data Science And Machine Learning
23% 23

User comments

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Social recommendations and mentions

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.

Evidently AI mentions (2)

  • [D] Using MLFlow for model performance tracking
    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: over 1 year ago
  • Five Data Quality Tools You Should Know
    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

LinkedIn FeatureFu mentions (0)

We have not tracked any mentions of LinkedIn FeatureFu yet. Tracking of LinkedIn FeatureFu recommendations started around Jun 2022.

What are some alternatives?

When comparing Evidently AI and LinkedIn FeatureFu, you can also consider the following products

ML5.js - Friendly machine learning for the web

Quaterion - Quaterion solves common issues with similarity learning.

ML Showcase - A curated collection of machine learning projects

Lobe - Visual tool for building custom deep learning models

Pretrained AI - Integrate pretrained machine learning models in minutes.

Data RPM - Monetize Insights. Increase Profits. - DataRPM

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