---
description: ¿Qué piensan los usuarios de Comet? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de Comet gracias a Capterra Chile.
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title: Comet - Opiniones, precios y características - Capterra Chile 2026
---

Breadcrumb: [Inicio](/) > [Herramientas de Machine Learning](/directory/31103/machine-learning/software) > [Comet](/software/1029200/comet)

# Comet

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> Plataforma de aprendizaje automático que permite a los científicos y equipos de datos seguir, comparar, explicar y optimizar sus experimentos.
> 
> Veredicto: 12 usuarios lo han valorado con **4.3/5**. De los mejores valorados en **Probabilidad de recomendación**.

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## Estadísticas y valoraciones rápidas

| Métrica | Calificación | Detalles |
| **En general** | **4.3/5** | 12 Opiniones |
| Facilidad de uso | 4.3/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.4/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.3/5 | Basado en las opiniones generales |
| Funciones | 4.3/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 90% | (9/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: Comet

## Contexto comercial

- **Precio inicial**: US$179,00
- **Modelo de precios**:  (versión gratuita disponible)
- **Público objetivo**: 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+
- **Despliegue y plataformas**: Cloud, SaaS, Web
- **Idiomas admitidos**: inglés
- **Países disponibles**: Alemania, Canadá, España, Estados Unidos, Francia, Irlanda, Italia, Reino Unido, Suecia

## Funciones

- Biblioteca de algoritmos ML
- Formación de modelos
- Third-Party Integrations
- Visualización
- Visualización de datos

## Opciones de asistencia

- Preguntas frecuentes/foro

## Categoría

- [Herramientas de Machine Learning](https://www.capterra.cl/directory/31103/machine-learning/software)

## Categorías relacionadas

- [Herramientas de Machine Learning](https://www.capterra.cl/directory/31103/machine-learning/software)
- [Herramientas de aprendizaje profundo](https://www.capterra.cl/directory/31104/deep-learning/software)
- [Software de inteligencia artificial](https://www.capterra.cl/directory/30938/artificial-intelligence/software)

## Alternativas

1. [NVIDIA GPU Cloud (NGC)](https://www.capterra.cl/software/171055/digits) — 4.5/5 (25 reviews)
2. [Appen](https://www.capterra.cl/software/210755/appen) — 4.1/5 (40 reviews)
3. [DataRobot](https://www.capterra.cl/software/179303/datarobot) — 4.8/5 (5 reviews)
4. [Modzy](https://www.capterra.cl/software/1046496/modzy) (0 reviews)
5. [Google Cloud](https://www.capterra.cl/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews)

## Opiniones

### "Comet review" — 4.0/5

> **Kareem** | *2 de diciembre de 2022* | Software informático | Valoración de la recomendación: 8.0/10
> 
> **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.

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### "Best experiment tracking tool" — 4.0/5

> **Saurabh** | *19 de junio de 2022* | Ingeniería industrial o mecánica | Valoración de la recomendación: 9.0/10
> 
> **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
> 
> It is a good software that helped me keep track of my Deep Learning experiments.

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### "Comet  Review" — 3.0/5

> **Brian** | *7 de junio de 2022* | Energías renovables y medio ambiente | Valoración de la recomendación: 7.0/10
> 
> **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.

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### "Great Product. Easy to Use. Becoming expensive." — 4.0/5

> **Usuario verificado** | *25 de julio de 2022* | Software informático | Valoración de la recomendación: 8.0/10
> 
> **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.
> 
> 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.

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### "Comet for DL and NLP Class" — 5.0/5

> **Usuario verificado** | *6 de junio de 2022* | Hardware informático | Valoración de la recomendación: 7.0/10
> 
> **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.
> 
> 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.

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## Enlaces

- [Ver en Capterra](https://www.capterra.cl/software/1029200/comet)

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