neptune.ai Pros and Cons

It's flexible, relatively intuitive and continuously improving, built by a team that's eager to understand their users' needs. Review collected by and hosted on G2.com.

Nothing major but it could become even more intuitive Review collected by and hosted on G2.com.

What our company appreciate the most about Neptune is the ability to log a rich variety of data from training runs and organize all the most essential information in a custom dashboard. Everything from use-case specific performance plots generated with Plotly to Neptune native timeseries and scalars. On top of that, Neptune requires minimal implementation overhead, has high quality documentation, great support, and it's just reliable. Review collected by and hosted on G2.com.

Could have benefited from having some more native plotting modules. However, it is possible to upload Plotly plots or similar as a workaround. Review collected by and hosted on G2.com.

neptune.ai is great in tracking multiple forms of information. It is super easy to start using and implementing. My group uses neptune.ai in all of its projects. Review collected by and hosted on G2.com.

Memory usage management in neptune.ai could be improved. Review collected by and hosted on G2.com.

With Neptune Data Scientists team can observe all the information throughout the training phase, analyze and compare experiments and models.

An high level view can be shared with program management with a customized and clear dashboards.

Great customer support through chat, e-mails and Google connect calls.

Ease of use and integration. Review collected by and hosted on G2.com.

Need further filtering capabilities in the main table view. Review collected by and hosted on G2.com.

1.Excellent UI, the page organization is very beautiful and easy to use.

2.The client API is designed to be very simple, straightforward and easy to use.

3.Supports efficient asynchronous log mode without affecting the performance of the program itself.

4.Very professional and efficient support service, fast response. Review collected by and hosted on G2.com.

Self-deployment process is not very straightforward to beginners Review collected by and hosted on G2.com.

You can quickly set up your Neptune logging using the flexible python API. The team is responsive and is actively working to improve the UX. Review collected by and hosted on G2.com.

There are desirable features missing from the UI, but most of these are on the way. Based on the pace of development, I trust that Neptune will soon be the best experiment tracker out there. Review collected by and hosted on G2.com.

We highly value Neptune's PyTorch Lightning plugin because it was the key to quick integration with our workflow and the experiment comparison view because it's critical for our ongoing hyperparameter optimization. Other than that, there are things you often take for granted in a product: reliability, flexibility, quality of support. Neptune nails those and gives us the confidence. Review collected by and hosted on G2.com.

We miss a few minor UI features. Besides, we'd love to be notified of running out of logging minutes in advance by predicting the usage. Review collected by and hosted on G2.com.

Easy to get started

Simple day-to-day use

Nice user interface

Good support Review collected by and hosted on G2.com.

Can be tricky to search when a project have many experiments Review collected by and hosted on G2.com.

Neptune gives you on the one hand such a nice overview when tuning the hyperparameters of your model, but on the other hand it allows you to observe how your deployed model is used by others, helping you immensely when they run into problems. Review collected by and hosted on G2.com.

I would wish for a 3D viewer for logging, e.g. to look at molecule structures during your training. Review collected by and hosted on G2.com.

Neptune deployment process is first and foremost adjustable (compared to other solutions on the marked), well documented and constantly improved by engineering team.

Cooporation with engineering support is just great, they let me deploy Neptune using their very fresh (at that time) Helm chart which is more aligned with tech stack and even easier to deploy. Review collected by and hosted on G2.com.

Neptune is introducing Elasticsearch within the self-hosted deployment as dependency, which will require maintenance. Review collected by and hosted on G2.com.