Software Alternatives, Accelerators & Startups
Register | Login

Evidently AI VS Layer AI

Compare Evidently AI VS Layer AI and see what are their differences

MiniAiLive
Solutions for Identity Verification & Biometric Authentication featured
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

Layer AI logo Layer AI

Layer helps you create production-grade ML pipelines with a seamless local↔cloud transition while enabling collaboration with semantic versioning, extensive artifact logging and dynamic reporting.
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • Layer AI Landing page
    Landing page //
    2023-08-18

Evidently AI videos

+ Add

How to Monitor Machine Learning Models (Evidently AI)

Layer AI videos

No Layer AI videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Evidently AI and Layer AI)

Evidently AI

Layer AI

Developer Tools
87 87%
Developer Tools
13% 13
AI
74 74%
AI
26% 26
Data Science And Machine Learning
67 67%
Data Science And Machine Learning
33% 33
Machine Learning
0 0%
Machine Learning
100% 100

User comments

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

Social recommendations and mentions

Layer AI might be a bit more popular than Evidently AI. We know about 2 links to it since March 2021 and only 2 links to Evidently AI. 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: 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

Layer AI mentions (2)

  • Valve responded to the alleged "banning" of AI generated games on Steam
    Doubt it if you look at AI Solutions and Technologies for Gaming | Unity - Asset Store and read through the documentation Product | Layer Help Center of layer.ai which Unity designates as a verified solution it is pretty obvious that layer.ai is nothing more than Stable Diffusion with a nice interface. Source: 12 months ago
  • [D] Build, train and track machine learning models using Superwise and Layer
    This illustrates how you can use Layer and Amazon SageMaker to deploy a machine learning model and track it using Superwise. Amazon SageMaker enables you to build, train and deploy machine learning models. Source: about 2 years ago

What are some alternatives?

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

ML Showcase - A curated collection of machine learning projects

integrate.ai - Extend your product to train ML models on distributed data

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.

Init.ai - Init.ai is the simplest way to build, train, and deploy intelligent conversational apps

Loading...