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PerceptiLabs VS Evidently AI

Compare PerceptiLabs VS Evidently AI and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

PerceptiLabs logo PerceptiLabs

A tool to build your machine learning model at warp speed.

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • PerceptiLabs Landing page
    Landing page //
    2022-03-09
  • Evidently AI Landing page
    Landing page //
    2023-08-19

PerceptiLabs videos

+ Add

PerceptiLabs-The Best Machine Learning Visual Modeling Tool-Train Deep Learning Neural Network

More videos:

  • Review - An Introduction to Deep Learning with PerceptiLabs

Evidently AI videos

+ Add

How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

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

PerceptiLabs

Evidently AI

Developer Tools
42 42%
Developer Tools
58% 58
AI
40 40%
AI
60% 60
APIs
100 100%
APIs
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100

User comments

Share your experience with using PerceptiLabs and Evidently AI. For example, how are they different and which one is better?
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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.

PerceptiLabs mentions (0)

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

Aquarium - Improve ML models by improving datasets they’re trained on

ML5.js - Friendly machine learning for the web

Scale Nucleus - The mission control for your ML data

ML Showcase - A curated collection of machine learning projects

Google Cloud TPUs - Build and train machine learning models with Google

Lobe - Visual tool for building custom deep learning models

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