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Comet.ml VS Evidently AI

Compare Comet.ml VS Evidently AI and see what are their differences

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Comet.ml logo Comet.ml

Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Evidently AI Landing page
    Landing page //
    2023-08-19

Comet.ml videos

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Running Effective Machine Learning Teams: Common Issues, Challenges & Solutions | Comet.ml

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Category Popularity

0-100% (relative to Comet.ml and Evidently AI)

Comet.ml

Evidently AI

Data Science And Machine Learning
66 66%
Data Science And Machine Learning
34% 34
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.

Comet.ml mentions (0)

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

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.

ML5.js - Friendly machine learning for the web

Weights & Biases - Developer tools for deep learning research

ML Showcase - A curated collection of machine learning projects

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.

Lobe - Visual tool for building custom deep learning models

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