Software Alternatives & Reviews
Register | Login

ML ART VS Evidently AI

Compare ML ART VS Evidently AI and see what are their differences

BoxyHQ
B2B SaaS: Make your app enterprise-ready! Authentication - SAML/OIDC SSO, Directory Sync (SCIM 2.0), Audit Logs, Data Privacy Vault, and more! featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

ML ART logo ML ART

A visual index with 340 creative Machine Learning projects!

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • ML ART Landing page
    Landing page //
    2022-05-08
  • Evidently AI Landing page
    Landing page //
    2023-08-19

ML ART videos

+ Add

Make ML Art With Google Colab: Week 4 (StyleGAN2 Notebook Overview)

More videos:

  • Review - Intro to ML Art with RunwayML: Week 2

Evidently AI videos

+ Add

How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to ML ART and Evidently AI)

ML ART

Evidently AI

AI
29 29%
AI
71% 71
Developer Tools
22 22%
Developer Tools
78% 78
Art
100 100%
Art
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using ML ART 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.

ML ART mentions (0)

We have not tracked any mentions of ML ART yet. Tracking of ML ART recommendations started around Mar 2021.

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

What are some alternatives?

When comparing ML ART and Evidently AI, you can also consider the following products

Best of Machine Learning - A collection of the best resources in Machine Learning & AI

ML5.js - Friendly machine learning for the web

Machine Learning Weekly - A hand-picked newsletter in machine learning & deep learning

ML Showcase - A curated collection of machine learning projects

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Lobe - Visual tool for building custom deep learning models

Loading...