Software Alternatives, Accelerators & Startups

Evidently AI VS integrate.ai

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

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

integrate.ai logo integrate.ai

Extend your product to train ML models on distributed data
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • integrate.ai Landing page
    Landing page //
    2023-06-23

Evidently AI videos

How to Monitor Machine Learning Models (Evidently AI)

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Category Popularity

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

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

integrate.ai mentions (0)

We have not tracked any mentions of integrate.ai yet. Tracking of integrate.ai recommendations started around Dec 2022.

What are some alternatives?

When comparing Evidently AI and integrate.ai, you can also consider the following products

ML Showcase - A curated collection of machine learning projects

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.

Censius.ai - Building the future of MLOps

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

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

Stack Roboflow - Coding questions pondered by an AI.