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Evidently AI VS Comet.ml

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

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

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 Landing page
    Landing page //
    2023-08-19
  • Comet.ml Landing page
    Landing page //
    2023-09-16

Evidently AI videos

+ Add

How to Monitor Machine Learning Models (Evidently AI)

Comet.ml videos

+ Add

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

More videos:

  • Review - Comet.ml - Supercharging Machine Learning

Category Popularity

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

Evidently AI

Comet.ml

AI
77 77%
AI
23% 23
Data Science And Machine Learning
36 36%
Data Science And Machine Learning
64% 64
Developer Tools
100 100%
Developer Tools
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
100% 100

User comments

Share your experience with using Evidently AI and Comet.ml. 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.

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

Comet.ml mentions (0)

We have not tracked any mentions of Comet.ml yet. Tracking of Comet.ml recommendations started around Mar 2021.

What are some alternatives?

When comparing Evidently AI and Comet.ml, you can also consider the following products

ML5.js - Friendly machine learning for the web

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.

ML Showcase - A curated collection of machine learning projects

Weights & Biases - Developer tools for deep learning research

Lobe - Visual tool for building custom deep learning models

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.

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