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Algorithmia VS MCenter

Compare Algorithmia VS MCenter and see what are their differences

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Algorithmia logo 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.

MCenter logo MCenter

Machine Learning Operationalization
  • Algorithmia Landing page
    Landing page //
    2023-09-14
  • MCenter Landing page
    Landing page //
    2021-08-03

Algorithmia videos

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How To Color Black and White Photos Automatically: Algorithmia Review

More videos:

  • Tutorial - How to Colorize Black and White photos online - Algorithmia Review (TopTen AI)
  • Review - Algorithmia | Getting started: Pipelines and MLOps

MCenter videos

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MCenter MIS Macedonia

Category Popularity

0-100% (relative to Algorithmia and MCenter)

Algorithmia

MCenter

Data Science And Machine Learning
64 64%
Data Science And Machine Learning
36% 36
Data Science Notebooks
60 60%
Data Science Notebooks
40% 40
Machine Learning Tools
57 57%
Machine Learning Tools
43% 43
Developer Tools
100 100%
Developer Tools
0% 0

User comments

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Social recommendations and mentions

Based on our record, Algorithmia seems to be more popular. It has been mentiond 5 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.

Algorithmia mentions (5)

MCenter mentions (0)

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

What are some alternatives?

When comparing Algorithmia and MCenter, you can also consider the following products

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.

5Analytics - The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business 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.

Datatron - Datatron automates the deployment, monitoring, governance, and validation of your machine learning models in scikit-learn, TensorFlow, Keras, Pytorch, R, H20 and SAS

Numericcal - Machine Learning Operationalization

Iterative.ai - Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

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