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neptune.ai Reviews & Product Details - Page 3

neptune.ai Overview

What is neptune.ai?

Experiment tracker purpose-built for foundation model training. With Neptune, you can monitor thousands of per-layer metrics—losses, gradients, and activations—at any scale. Visualize them with no lag and no missed spikes. Drill down into logs and debug training issues fast. Keep your model training stable while reducing wasted GPU cycles.

neptune.ai Details
Product Website
Languages Supported
English, Polish
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Product Description

Neptune brings organization and collaboration to data science projects. Everything is secured, backed-up in an organized knowledge repository.


Seller Details
Company Website
Year Founded
2017
HQ Location
Warsaw, PL
Twitter
@neptune_ai
7,277 Twitter followers
LinkedIn® Page
www.linkedin.com
93 employees on LinkedIn®
Description

Neptune is the most scalable experiment tracker for teams that train foundation models. Monitor and visualize months-long model training with multiple steps and branches. Track massive amounts of data, but filter and search through it quickly. Visualize and compare thousands of metrics in seconds. And deploy Neptune on your infra from day one. Get to the next big AI breakthrough faster, using fewer resources on the way.


Jakub C.
JC
Overview Provided by:

Recent neptune.ai Reviews

AS
alice S.Enterprise (> 1000 emp.)
4.0 out of 5
"Fast Tracking and Effortless Integration"
I’ve found Neptune pretty easy to integrate. Although I don’t use it in the traditional way, I rely on it to track experiment evaluations and monit...
Franziska G.
FG
Franziska G.Mid-Market (51-1000 emp.)
4.0 out of 5
"Neptune is a reliable tracking tool with many well thought through analysis features."
- Filter functionality on runs within a project - Custom dashboards and saveable table schemas - Reliably working on-prem deployment (GCP) - Fas...
Verified User
U
Verified UserMid-Market (51-1000 emp.)
4.0 out of 5
"Experiment tracking made simple"
Neptune helps track experiment data with a simple interface. The dashboard shows key metrics, graphs, and lets you compare different model runs sid...
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neptune.ai Media

neptune.ai Demo - User Interface
Table of experiments and metrics visualized on the charts
neptune.ai Demo - Report
Customized dashboard presenting selected data for selected experiments
neptune.ai Demo - Side-by-side comparison
Side-by-side comparison table presenting metadata associated with multiple experiments
neptune.ai Demo - Table of runs
Table presenting versioned models and associated metadata
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52 neptune.ai Reviews

4.6 out of 5
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52 neptune.ai Reviews
4.6 out of 5
52 neptune.ai Reviews
4.6 out of 5

neptune.ai Pros and Cons

How are these determined?Information
Pros and Cons are compiled from review feedback and grouped into themes to provide an easy-to-understand summary of user reviews.
Pros
Cons

Overall Review Sentiment for neptune.aiQuestion

Time to Implement
<1 day
>12 months
Return on Investment
<6 months
48+ months
Ease of Setup
0 (Difficult)
10 (Easy)
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G2 reviews are authentic and verified.
Pedro Henrique N.
PN
Machine Learning Engineer
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
What do you like best about neptune.ai?

We have been using Neptune for more than a year and it fulfills all our needs in terms of experiment tracking. Neptune is also easy to integrate and use, making it an easy decision to go for. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Currently Neptune lacks functionalities (for our usage) for data monitoring and model versioning. Nevertheless, we got nice feedback that these topics are in their roadmap. I'm looking forward to see the next steps. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Neptune handles all our experimentation tracking. Review collected by and hosted on G2.com.

Adam K.
AK
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

Neptune stores all the runs’ results that later can be gathered into a single dataframe. It is extremely helpful to have all the experiments in one, accessible place. This, combined with run tagging, creates a powerful combination for results analysis.

I recommend neptune for ML projects. It is very beginner friendly and easy to introduce in any ML framework. I’ve successfully used it with keras, pytorch, and optuna. I think it is a great tool that is a staple when it comes to experiment management. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

- You cant't add notes no neptune runs which requires separte tool for writing notes

- GUI compare runs at certain time stamp (run A after 10th epoch vs run B after 20th epoch)

- no nan values handling! Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Staple MLops platform. Before using neptune all the results were stored in separate directories scattered around various workspaces. With project progression all the results started to become more and more difficult to gather which was inefficient in the long run. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

Super easy to use and integrates neatly into our model experiment lifecycle. We deploy very often and across several different projects, and without a proper organization tool things can get messy quite quickly. Neptune has helped us keep everything neatly organized, easily reproducable, and helps keep everyone on the team up-to-date with the latest advancements. First thing we do whenever we start a new project is to ensure we have Neptune tracking set up, which helps us iterate quickly.

The main draw for us were the customizable dashboards for experiment comparison, as we have many metrics to keep track of, and we haven't found an alternative that can satisfy our customization needs like Neptune. Having all relevant metrics grouped together and easily comparing several experiments has been great. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Some more convenience features would be great. For example the ability to replicate custom dashboards across projects, or turning custom views directly into new dashboards. Also something like being able to batch add several columns using regex would be super useful. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

We run many experiments and deploy new models often. Being able to keep track of the many metrics we have, compare different models, and ensure reproducability of each experiment is very important for fast iteration and ensuring we always deploy the best possible option. Neptune helps us do all this. Review collected by and hosted on G2.com.

Verified User in Research
UR
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

Neptune is a tool that manages machine learning experiments. Wehn you are doing hyperparameter optimization and prototyping, it is important to have a tool that keep track of the different experiments. Neptune can do exactly that.

It is easy to analyze a single run and e.g. check how the loss is progressing. You can also compare runs to see what changed and select the best. Uploading model checkpoints can help you to go back to specific runs even a long time later Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

It takes some time to learn how to make the most out of neptune. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Neptune keeps track of machine learning experiments and provides comparison tools. Review collected by and hosted on G2.com.

Verified User in Biotechnology
UB
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about neptune.ai?

It keeps improving

Easy to integrate into projects

Customer support team is responsive and very considerate of suggestions Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

At the momemnt I am very happy with neptune. It has improved a lot over time. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

It monitors my experiment's performance and progress Review collected by and hosted on G2.com.

Verified User in Mechanical or Industrial Engineering
UM
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

We are Neptune.ai customers since 2021 and we had a great experience with the platform so far.

Our main use is experiment tracking of a large number of runs for several different projects, where multiple researchers and engineers contribute to each project.

The Runs view is really what makes it superior compared to every other experiment tracking platform. The way we can deal with hundreds of hyperparameters and metrics across thousands of runs really makes it the perfect experiment tracking plaform.

Integration with Lightning and Keras is extremely easy, and customization is flexible when necessary. We love the native tracking of hardware resources.

As users of the on-prem version, deployment on K8s was always smooth and well supported by the extremely competent support staff. We have seen the tool evolving in these years, becoming better and better at every release. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Honestly we don't have much to report and we look forward to seeing the Report functionality being introuced soon! Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Efficient tracking of thousands of data science experiments Review collected by and hosted on G2.com.

Ryan  T.
RT
Small-Business(50 or fewer emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

The most valuable thing for us is the ability to upload a wide range of data types, such as summary plots at the end of a run or generated samples throughout model training. It allows us to use Neptune to present and share results with colleagues, all in one place, without having to manage files locally. Before Neptune, we used to log all the experimental results to a file located on our server. It was difficult to visualize, share and discuss results. We also struggled to keep track of different versions of experiments. So, we would absolutely recommend Neptune. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

The integrations with other tools like PyTorch Lightning are occassionally buggy, but this is a minor issue. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Neptune allows us to quickly and easily share results from experiments across our team, without the need to constantly save, share, and track individual files. Review collected by and hosted on G2.com.

JS
Senior Software Engineer
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
What do you like best about neptune.ai?

Neptune has great integration for several frameworks, which makes working with it seamless.

UI is uncluttered and usable. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Capabilities of creating dynamic plots are there but could be more sophisticated. Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Neptune helps me and my team to aggregate information/data/models of machine learning tranings and also present them to other people Review collected by and hosted on G2.com.

Verified User in Consumer Electronics
IC
Mid-Market(51-1000 emp.)
Validated Reviewer
Verified Current User
Review source: Organic
(Original )Information
What do you like best about neptune.ai?

Being able to track a ton of metrics and easily share them with teammates. The UI is very smooth and responsible, even when using large image datasets. It was also very easy to integrate within pytorch lightning. The Neptune-AI is fantastic and replies very quickly whenever we need support. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

Would be great to have more plotting options in UI (e.g., bar plots or histograms) Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Facilitates the tracking and reporting of Maachine Learning experiments. It offers me a centralized platform where I can analyze results and quickly share them with stakeholders. Review collected by and hosted on G2.com.

Verified User in Computer Software
UC
Small-Business(50 or fewer emp.)
Validated Reviewer
Review source: Organic
What do you like best about neptune.ai?

The python sdk is easy to use, the UI is fast, and the project is actively maintained, new features are added regularly without breaking changes. The enterprise pricing plan is also cheaper than alternatives. Review collected by and hosted on G2.com.

What do you dislike about neptune.ai?

It's missing a couple quality of life features Review collected by and hosted on G2.com.

What problems is neptune.ai solving and how is that benefiting you?

Cheap + simple Review collected by and hosted on G2.com.