Software Alternatives, Accelerators & Startups

integrate.ai VS Evidently AI

Compare integrate.ai VS Evidently AI and see what are their differences

integrate.ai logo integrate.ai

Extend your product to train ML models on distributed data

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • integrate.ai Landing page
    Landing page //
    2023-06-23
  • Evidently AI Landing page
    Landing page //
    2023-08-19

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Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to integrate.ai and Evidently AI)
AI
20 20%
80% 80
Developer Tools
18 18%
82% 82
Data Science And Machine Learning
GitHub
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.

integrate.ai mentions (0)

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

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.

ML Showcase - A curated collection of machine learning projects

Stack Roboflow - Coding questions pondered by an AI.

ML5.js - Friendly machine learning for the web

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

Censius.ai - Building the future of MLOps