Comet

4.3 (12)
¡Escribe una reseña!
Plataforma de aprendizaje automático

Calificación general

4.3 /5
(12)
Relación calidad-precio
4.3/5
Funciones
4.3/5
Facilidad de uso
4.3/5
Asistencia al cliente
4.4/5

92%
Un ha recomendado esta aplicación
Ordenar por

Reseñas de 12

Usuario verificado
Calificación general
  • Sector: Hardware informático
  • Tamaño de la empresa: 201-500 empleados
  • Software usado Semanalmente durante 6-12 meses
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Probabilidad de recomendación 7.0 /10

Comet for DL and NLP Class

Revisado el 6/6/2022

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.

Puntos a favor

Great plotting tool, fast speed, and detailed documentation

Puntos en contra

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

Saurabh
Calificación general
  • Sector: Ingeniería industrial o mecánica
  • Tamaño de la empresa: 51-200 empleados
  • Software usado A diario durante Más de dos años
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 9.0 /10

Best experiment tracking tool

Revisado el 19/6/2022

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.

Puntos a favor

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

Puntos en contra

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

Brian
Calificación general
  • Sector: Energías renovables y medio ambiente
  • Tamaño de la empresa: 11-50 empleados
  • Software usado Mensualmente durante Prueba gratis
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 7.0 /10

Comet Review

Revisado el 7/6/2022

Puntos a favor

The reports feature which enabled one to embed different panels

Puntos en contra

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

Usuario verificado
Calificación general
  • Sector: Software informático
  • Tamaño de la empresa: 1,001-5,000 empleados
  • Software usado A diario durante Más de un año
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 8.0 /10

Great Product. Easy to Use. Becoming expensive.

Revisado el 25/7/2022

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.

Puntos a favor

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.

Puntos en contra

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.

Witold
Calificación general
  • Sector: Investigación
  • Tamaño de la empresa: 501-1,000 empleados
  • Software usado Semanalmente durante Más de un año
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 10.0 /10

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

Revisado el 31/5/2022

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

Puntos a favor

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

Puntos en contra

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.

Tejas
Calificación general
  • Sector: Investigación
  • Tamaño de la empresa: 51-200 empleados
  • Software usado A diario durante 6-12 meses
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 8.0 /10

Good product to track ML trainings and generated data

Revisado el 14/6/2022

Puntos a favor

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

Puntos en contra

Data organisation of old trials could be done better

Kalyan
Calificación general
  • Sector: Internet
  • Tamaño de la empresa: 1,001-5,000 empleados
  • Software usado Semanalmente durante Más de un año
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 7.0 /10

Great Experimentation Tracker

Revisado el 25/7/2022

Puntos a favor

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

Puntos en contra

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

Hiren
Calificación general
  • Sector: Tecnología y servicios de la información
  • Tamaño de la empresa: 2-10 empleados
  • Software usado Semanalmente durante 6-12 meses
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 10.0 /10

Easy to Integrate with Machine Learning Projects

Revisado el 4/6/2022

Puntos a favor

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.

Puntos en contra

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

Joshua
Calificación general
  • Sector: Investigación
  • Tamaño de la empresa: 2-10 empleados
  • Software usado A diario durante Prueba gratis
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Probabilidad de recomendación 10.0 /10

Academic researcher-Overall incredibly useful for experiment organization

Revisado el 7/6/2022

Puntos a favor

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.

Puntos en contra

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

Kareem
Kareem
Calificación general
  • Sector: Software informático
  • Tamaño de la empresa: 201-500 empleados
  • Software usado Semanalmente durante 1-5 meses
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Probabilidad de recomendación 8.0 /10

Comet review

Revisado el 2/12/2022

Puntos a favor

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

Puntos en contra

sadly, Comet software has no free trial.

Khush
Calificación general
  • Sector: Investigación
  • Tamaño de la empresa: 11-50 empleados
  • Software usado Semanalmente durante 6-12 meses
  • Fuente de la reseña

Calificación general

  • Relación calidad-precio
  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 10.0 /10

Excellent tool to keep track of experiments

Revisado el 31/5/2022

Has been seamless.

Has been seamless.

Puntos a favor

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

Puntos en contra

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

Arnaud
Calificación general
  • Sector: Software informático
  • Tamaño de la empresa: Trabajador autónomo
  • Software usado Semanalmente durante 6-12 meses
  • Fuente de la reseña

Calificación general

  • Facilidad de uso
  • Asistencia al cliente
  • Probabilidad de recomendación 10.0 /10

Good product

Revisado el 15/6/2022

Puntos a favor

Ease of use and usability within a team.

Puntos en contra

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