Comet

4.3 (12)
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Machine learning platform

Overall rating

4.3 /5
(12)
Value for Money
4.3/5
Features
4.3/5
Ease of Use
4.3/5
Customer Support Software
4.4/5

92%
recommended this app
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12 Reviews

Kareem
Kareem
Overall rating
  • Industry: Computer Software
  • Company size: 201–500 Employees
  • Used Weekly for 1-5 months
  • Review Source

Overall rating

  • Ease of Use
  • Likelihood to recommend 8.0 /10

Comet review

Reviewed on 2022-12-02

Pros

Comet is a good tool that is great in machine learning and deep learning.

Cons

sadly, Comet software has no free trial.

Saurabh
Overall rating
  • Industry: Mechanical or Industrial Engineering
  • Company size: 51–200 Employees
  • Used Daily for 2+ years
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 9.0 /10

Best experiment tracking tool

Reviewed on 2022-06-19

It is a good software that helped me keep track of my Deep Learning experiments.

It is a good software that helped me keep track of my Deep Learning experiments.

Pros

Experiment tracking and collaboration is accessible on this platform
Also easy to upload files

Cons

Limited file size upload. It throws errors for bigger file size

Brian
Overall rating
  • Industry: Renewables & Environment
  • Company size: 11–50 Employees
  • Used Monthly for Free Trial
  • Review Source

Overall rating

  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 7.0 /10

Comet Review

Reviewed on 2022-06-07

Pros

The reports feature which enabled one to embed different panels

Cons

At first the learning process of how the software works was steep.

Verified Reviewer
Overall rating
  • Industry: Computer Software
  • Company size: 1,001–5,000 Employees
  • Used Daily for 1+ year
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 8.0 /10

Great Product. Easy to Use. Becoming expensive.

Reviewed on 2022-07-25

We have really enjoyed using comet. It's been really easy to setup and makes experiment tracking...

We have really enjoyed using comet. It's been really easy to setup and makes experiment tracking and gaining insight into the model's performance so much better. The support has also been really good, especially when interacting through the Slack Connect channel. Unfortunately, the business has thought about moving away from the product due to the high cost of licenses.

Pros

Comet is really easy to setup and provides really useful visualizations without a ton of boilerplate code. A simple log_asset() or log_metric() call can go a long way into providing insight into how the model is training or performing with comet automatically generating graphs or confusion matrices or viewing images and predictions online.

Cons

Occasionally there are inconsistencies with what is offered in the Comet UI and what is available through the python SDK. This was observed when trying to automatically upload and tag models in the model registry.

The price is also becoming a factor on whether or not we move away from comet.

Verified Reviewer
Overall rating
  • Industry: Computer Hardware
  • Company size: 201–500 Employees
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Ease of Use
  • Likelihood to recommend 7.0 /10

Comet for DL and NLP Class

Reviewed on 2022-06-06

I had several deep learning and NLP classes with Comet. This software is recommended by the class....

I had several deep learning and NLP classes with Comet. This software is recommended by the class. The overall usage is pretty good, with easy setup and grading, and their intuitive interface.

Pros

Great plotting tool, fast speed, and detailed documentation

Cons

It is a bit hard to manage when there are too many experiment trails.

Witold
Overall rating
  • Industry: Research
  • Company size: 501–1,000 Employees
  • Used Weekly for 1+ year
  • Review Source

Overall rating

  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 10.0 /10

It does its job perfectly well, and you can trick it into doing many other jobs.

Reviewed on 2022-05-31

I needed a tool that would help me in keeping track of my experiments. I got a whole set of tools...

I needed a tool that would help me in keeping track of my experiments. I got a whole set of tools that is perfect for my ML research

Pros

The ease of integration with existing pipelines and workflow is fantastic. I also love the new panels UI, it cuts down all configuration to a minimum

Cons

The only thing which annoys me is the chaos in custom view settings. Most of the time i create some view, and when I want to reuse it later i have to create a whole new copy of it, which leads to constantly increasing the number of views.

Kalyan
Overall rating
  • Industry: Internet
  • Company size: 1,001–5,000 Employees
  • Used Weekly for 1+ year
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 7.0 /10

Great Experimentation Tracker

Reviewed on 2022-07-25

Pros

Comet ML provides an integrated platform to track experiments, log assets/metrics and also provide various visualizations. It is a great tool to maintain and reproduce models

Cons

The documentation could be improved and also the panels needs to be improved for accessibility

Hiren
Overall rating
  • Industry: Information Technology & Services
  • Company size: 2–10 Employees
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 10.0 /10

Easy to Integrate with Machine Learning Projects

Reviewed on 2022-06-04

Pros

I have explored bunch of other experimentation platform for ML projects but Comet is my most favourite tool by far as it provides easy integration with major ML frameworks such as Scikit-learn, Pytorch, Tensorflow, Keras, and so on. In addition to that, it supports multiple programming languages.

Cons

I don't feel any major features Comet is missing as most of the experimentation in ML projects already fulfilled.

Tejas
Overall rating
  • Industry: Research
  • Company size: 51–200 Employees
  • Used Daily for 6-12 months
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 8.0 /10

Good product to track ML trainings and generated data

Reviewed on 2022-06-14

Pros

Easy to use and integrate, can track data from any device, can also check from mobile phone on the go

Cons

Data organisation of old trials could be done better

Joshua
Overall rating
  • Industry: Research
  • Company size: 2–10 Employees
  • Used Daily for Free Trial
  • Review Source

Overall rating

  • Ease of Use
  • Likelihood to recommend 10.0 /10

Academic researcher-Overall incredibly useful for experiment organization

Reviewed on 2022-06-07

Pros

Comet is fairly easy to set up and use, and has the ability to store different types of results. The panel system makes it easy to compare across hyperparameters and the community panels are well developed.

Cons

The UI can be slow as more experiments are added an occasionally there are minor bugs which are manageable.

Khush
Overall rating
  • Industry: Research
  • Company size: 11–50 Employees
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Value for Money
  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 10.0 /10

Excellent tool to keep track of experiments

Reviewed on 2022-05-31

Has been seamless.

Has been seamless.

Pros

It is an easy alternative to replace local experiment tracking that makes it convenient to check on live/previous experiments from any device.

Cons

Saving model can be a hassle, especially when size becomes large.

Arnaud
Overall rating
  • Industry: Computer Software
  • Company size: Self Employed
  • Used Weekly for 6-12 months
  • Review Source

Overall rating

  • Ease of Use
  • Customer Support Software
  • Likelihood to recommend 10.0 /10

Good product

Reviewed on 2022-06-15

Pros

Ease of use and usability within a team.

Cons

Team size is limited on academic plan makes it hard to organize