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Evidently AI VS Datatron

Compare Evidently AI VS Datatron and see what are their differences

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Evidently AI logo Evidently AI

Open-source monitoring for machine learning models

Datatron logo Datatron

Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS
  • Evidently AI Landing page
    Landing page //
    2023-08-19
  • Datatron Landing page
    Landing page //
    2023-02-11

Evidently AI videos

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How to Monitor Machine Learning Models (Evidently AI)

Datatron videos

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Harish Doddi demos Datatron @SFNewTech on 1 Mar 2017 #SFNT @getdatatron

More videos:

  • Review - Virtual Records Management from Datatron

Category Popularity

0-100% (relative to Evidently AI and Datatron)

Evidently AI

Datatron

Developer Tools
100 100%
Developer Tools
0% 0
Data Science And Machine Learning
48 48%
Data Science And Machine Learning
52% 52
AI
100 100%
AI
0% 0
Data Science Notebooks
0 0%
Data Science Notebooks
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.

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

Datatron mentions (0)

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

What are some alternatives?

When comparing Evidently AI and Datatron, you can also consider the following products

ML Showcase - A curated collection of machine learning projects

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.

Censius.ai - Building the future of MLOps

MCenter - Machine Learning Operationalization

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

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.

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