Software Alternatives, Accelerators & Startups

Uber Engineering VS Evidently AI

Compare Uber Engineering VS Evidently AI and see what are their differences

Uber Engineering logo Uber Engineering

From practice to people

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Uber Engineering Landing page
    Landing page //
    2023-09-24
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Uber Engineering videos

No Uber Engineering videos yet. You could help us improve this page by suggesting one.

Add video

Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Uber Engineering and Evidently AI)
AI
25 25%
75% 75
Developer Tools
20 20%
80% 80
Data Science And Machine Learning
Machine Learning
100 100%
0% 0

User comments

Share your experience with using Uber Engineering and Evidently AI. For example, how are they different and which one is better?
Log in or Post with

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.

Uber Engineering mentions (0)

We have not tracked any mentions of Uber Engineering yet. Tracking of Uber Engineering recommendations started around Dec 2022.

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: almost 2 years 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

What are some alternatives?

When comparing Uber Engineering and Evidently AI, you can also consider the following products

Apple - Available on iOS

ML Showcase - A curated collection of machine learning projects

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Censius.ai - Building the future of MLOps

Akkio - No-Code AI models right from your browser

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.