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Comet.ml VS Salesforce Platform

Compare Comet.ml VS Salesforce Platform and see what are their differences

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

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.

Salesforce Platform logo Salesforce Platform

Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
  • Comet.ml Landing page
    Landing page //
    2023-09-16
  • Salesforce Platform Landing page
    Landing page //
    2023-06-05

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

Salesforce Platform videos

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Salesforce Platform Overview (1)

Category Popularity

0-100% (relative to Comet.ml and Salesforce Platform)

Comet.ml

Salesforce Platform

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Cloud Computing
0 0%
Cloud Computing
100% 100
Data Science Notebooks
100 100%
Data Science Notebooks
0% 0
Cloud Hosting
0 0%
Cloud Hosting
100% 100

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Comet.ml and Salesforce Platform

Comet.ml Reviews

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Salesforce Platform Reviews

3 easy app makers you can start on today
Salesforce Platform: If you use the popular customer relationship management system, Salesforce’s low-code tools allow you to build custom apps that can include AI and connect with the company’s various cloud services.
Source: www.intheblack.com

What are some alternatives?

When comparing Comet.ml and Salesforce Platform, 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.

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Weights & Biases - Developer tools for deep learning research

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

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.

Google Cloud Functions - A serverless platform for building event-based microservices.

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