---
description: Scopri le funzionalità di Comet, i dettagli del prodotto, chi utilizza il software e quali sono i prodotti suggeriti. Attraverso le recensioni di utenti verificati potrai capire com’è la user experience, l’assistenza post-vendita e molto altro.
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title: Comet - Prezzi, recensioni, informazioni - Capterra Italia 2026
---

Breadcrumb: [Home](/) > [Software di machine learning](/directory/31103/machine-learning/software) > [Comet](/software/1029200/comet)

# Comet

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> Piattaforma di machine learning che consente a team e data scientist di monitorare, confrontare, spiegare e ottimizzare i propri esperimenti.
> 
> Conclusione: valutazione di **4.3/5** stelle assegnate da 12 utenti. Miglior punteggio per il parametro **Lo consiglieresti?**.

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## Statistiche e valutazioni

| Parametro | Valutazione | Dettaglio |
| **Nel complesso** | **4.3/5** | 12 Recensioni |
| Facilità d'uso | 4.3/5 | Sulla base delle recensioni complessive |
| Assistenza clienti | 4.4/5 | Sulla base delle recensioni complessive |
| Rapporto qualità-prezzo | 4.3/5 | Sulla base delle recensioni complessive |
| Funzionalità | 4.3/5 | Sulla base delle recensioni complessive |
| Percentuale di raccomandazione | 90% | (9/10 Lo consiglieresti?) |

## Informazioni sul fornitore

- **Azienda**: Comet

## Contesto commerciale

- **Prezzo di partenza**: 179,00 USD
- **Modello tariffario**:  (Versione gratuita disponibile)
- **Pubblico target**: 2-10, 11-50, 51-200, 201-500, 501-1.000, 1.001-5.000, 5.001-10.000, 10.000+
- **Implementazione e piattaforme**: Cloud, SaaS, Web
- **Lingue supportate**: inglese
- **Paesi disponibili**: Canada, Francia, Germania, Irlanda, Italia, Regno Unito, Spagna, Stati Uniti, Svezia

## Funzionalità

- Libreria di algoritmi ML
- Third-Party Integrations
- Training modello
- Visualizzazione
- Visualizzazione di dati

## Opzioni di supporto

- FAQ/Forum

## Categoria

- [Software di machine learning](https://www.capterra.it/directory/31103/machine-learning/software)

## Categorie correlate

- [Software di machine learning](https://www.capterra.it/directory/31103/machine-learning/software)
- [Software di deep learning](https://www.capterra.it/directory/31104/deep-learning/software)
- [Software di intelligenza artificiale](https://www.capterra.it/directory/30938/artificial-intelligence/software)

## Alternative

1. [Anaconda](https://www.capterra.it/software/191760/anaconda) — 4.6/5 (86 reviews)
2. [Appen](https://www.capterra.it/software/210755/appen) — 4.1/5 (40 reviews)
3. [Modzy](https://www.capterra.it/software/1046496/modzy) (0 reviews)
4. [Google Cloud](https://www.capterra.it/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews)
5. [UiPath](https://www.capterra.it/software/135186/uipath-robotic-process-automation) — 4.6/5 (721 reviews)

## Recensioni

### "Comet review" — 4.0/5

> **Kareem** | *2 dicembre 2022* | Software informatici | Tasso di raccomandazione: 8.0/10
> 
> **Vantaggi**: Comet is a good tool that is great in machine learning and deep learning.
> 
> **Inconvenienti**: sadly, Comet software has no free trial.

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

> **Saurabh** | *19 giugno 2022* | Ingegneria meccanica o industriale | Tasso di raccomandazione: 9.0/10
> 
> **Vantaggi**: Experiment tracking and collaboration is accessible on this platform
Also easy to upload files
> 
> **Inconvenienti**: 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 giugno 2022* | Ambiente ed energie rinnovabili | Tasso di raccomandazione: 7.0/10
> 
> **Vantaggi**: The reports feature which enabled one to embed different panels
> 
> **Inconvenienti**: 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

> **Utente Verificato** | *25 luglio 2022* | Software informatici | Tasso di raccomandazione: 8.0/10
> 
> **Vantaggi**: 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.
> 
> **Inconvenienti**: 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

> **Utente Verificato** | *6 giugno 2022* | Circuiteria | Tasso di raccomandazione: 7.0/10
> 
> **Vantaggi**: Great plotting tool, fast speed, and detailed documentation
> 
> **Inconvenienti**: 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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## Link

- [Visualizza su Capterra](https://www.capterra.it/software/1029200/comet)

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| en | <https://www.capterra.com/p/250644/Comet/> |
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