Software Alternatives & Reviews

ML Showcase VS Evidently AI

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

ML Showcase logo ML Showcase

A curated collection of machine learning projects

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • ML Showcase Landing page
    Landing page //
    2019-02-28
  • Evidently AI Landing page
    Landing page //
    2023-08-19

ML Showcase

Categories
  • AI
  • Developer Tools
  • Data Science And Machine Learning
  • Open Source
Website ml-showcase.com

Evidently AI

Categories
  • Open Source
  • Analytics
  • Developer Tools
  • AI
  • Data Science And Machine Learning
Website evidentlyai.com

ML Showcase videos

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Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to ML Showcase and Evidently AI)
Developer Tools
43 43%
57% 57
AI
43 43%
57% 57
Data Science And Machine Learning
Tech
100 100%
0% 0

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.

ML Showcase mentions (0)

We have not tracked any mentions of ML Showcase yet. Tracking of ML Showcase 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 Showcase and Evidently AI, you can also consider the following products

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Censius.ai - Building the future of MLOps

Apple Machine Learning Journal - A blog written by Apple engineers

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

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

Lightly AI - Improve your machine learning models by using the right data