About Company
Pricing of neptune.ml
Individual (Cloud SaaS)
USD 0
USD 0
- 1 member
- 200 monitoring hours/month
- 100 GB of metadata storage
- 1 member
- 200 monitoring hours/month
- 100 GB of metadata storage
Team (Cloud SaaS)
USD 49
/Month
USD 0
- Unlimited members
- 200 monitoring hours/month
- 100 GB of metadata storage
- Email and chat support
- Unlimited members
- 200 monitoring hours/month
- 100 GB of metadata storage
- Email and chat support
Scale (Cloud SaaS)
USD 499
/Month
USD 0
- Unlimited members
- Custom monitoring hours quota
- Custom metadata storage
- Service accounts for CI workflows
- Single Sign-on
- Onboarding support
- SLA
- Unlimited members
- Custom monitoring hours quota
- Custom metadata storage
- Service accounts for CI workflows
- Single Sign-on
- Onboarding support
- SLA
Team (Your Server)
USD 499
/Month
USD 0
- Unlimited members
- Email and chat support
- Unlimited members
- Email and chat support
Enterprise (Your Server)
USD 1
/Month
USD 0
- Unlimited members
- LDAP/SSO
- SLA
- Installation support and team onboarding
- Unlimited members
- LDAP/SSO
- SLA
- Installation support and team onboarding
Key Features of neptune.ml
Specification
Other Categories:
Deployment:
Cloud Hosted
Customer Support:
Online (Ticket)
Customization:
No
Languages Support:
English
Who uses neptune.ml
Personal
SMEs
Enterprises
Company Details
- Company Name: neptune.ml
- Headquarter: Warsaw, Warsaw Poland
- Website: Visit Website
- Social Media:
Description
neptune.ml Video
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neptune.ml Complete Machine Learning Software Comparisons
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Compare Nowneptune.ml Screenshots
User Reviews 
Write a Review
"Fast, easy to use, supportive, update features regularly"
What do you like best?
They respect to feedback and suggestion and update regularly the new features for a better experience.
What do you dislike?
At the moment everything is pretty useful
Recommendations to others considering the product:
Everything is available to use. If you need any new features, you can simply ping them. They will consider your suggestion.
What problems are you solving with the product? What benefits have you realized?
tracking my ML experiment. Hyperparameter tuning. Sharing the result with my colleagues and other tones of benefits.
- Hamed H
"useful tool for tracking many experiments and collaboration on them"
What do you like best?
one place to log all my experiments, very helpful when you have to find some results from a few months back.
It makes collaboration easier as well - just share the link to an experiment with a colleague and you can analyze the results together.
What do you dislike?
The UI for creating graphs with multiple lines could be more flexible.
What problems are you solving with the product? What benefits have you realized?
* tracking data about many experiments
* easily sharing experiments within lab
* going back to old results, collecting data for report/publication
* reproducibility - code and hyperparameters are stored in one place
- B?a?ej O
"Exactly what I needed"
What do you like best?
The real-time charts, the simple API, the responsive support
What do you dislike?
It would be great to have more advanced API functionality.
Recommendations to others considering the product:
If you need to monitor and manage your machine learning or any other computational experiments, Neptune.ai is a great choice. It has many features that can make your life easier and your research more organized.
What problems are you solving with the product? What benefits have you realized?
I'm mostly doing an academic research that involves the training of machine learning models, and also other long-running experiments which I need to track in real time. Without Neptune.ai, I would have waste a lot of time building a client for experiment management and monitoring. It also serves as an archive, which I also find very important for my research.
- Boaz S
"A lightweight solution to a complicated problem of experiment tracking"
What do you like best?
- Easy integration with any pipeline / flow / codebase / framework
- Easy access to logged data over an api (comes also with a simple python wrapper )
- Fast and reliable
- Versioning jupyter notebooks is a great an unique feature
What do you dislike?
- Visualization of the logged data could be improved, support for more advanced plotting would be nice, altough you can alway workaround that by sending pictures of charts.
Recommendations to others considering the product:
If you look for a simple, flexible and powerfull tool or you are tired of using excel sheets or tensorboard to track your results, neptune.ai is a good bet.
What problems are you solving with the product? What benefits have you realized?
- machine learning reproducibility
- machine learning system monitoring
- sharing experiment results
- monitoring long running deep learning jobs
- Jakub C
"simple and powerful"
What do you like best?
It's an easy yet powerful tool, handling notebooks is a nice feature.
What do you dislike?
Front-end details, like axis labels, could be more aesthetic.
What problems are you solving with the product? What benefits have you realized?
I'm using this tool as an experiment manager, mainly as a way to choose the best model setup and store respective images.
- User in Research
FAQ's
neptune.ml has 5 plans,
- Individual (Cloud SaaS) USD 0
- Team (Cloud SaaS) USD 49 /Month
- Scale (Cloud SaaS) USD 499 /Month
- Team (Your Server) USD 499 /Month
- Enterprise (Your Server) USD 1 /Month
neptune.ml provides Online (Ticket) support.
neptune.ml is not allowing Free Trial.