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Managed MLflow VS Evidently AI

Compare Managed MLflow VS Evidently AI and see what are their differences

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Managed MLflow logo Managed MLflow

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Managed MLflow Landing page
    Landing page //
    2023-05-15
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Managed MLflow videos

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Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Managed MLflow and Evidently AI)

Managed MLflow

Evidently AI

Data Science And Machine Learning
63 63%
Data Science And Machine Learning
37% 37
Developer Tools
0 0%
Developer Tools
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
AI
0 0%
AI
100% 100

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.

Managed MLflow mentions (0)

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

Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

ML Showcase - A curated collection of machine learning projects

Weights & Biases - Developer tools for deep learning research

Censius.ai - Building the future of MLOps

neptune.ai - Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

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

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