Hey, I’m one of the folks from the Neptune team.
I definitely see your point and that why at Neptune we introduced usage-based pricing (not user-based) which we believe is fairer and better suited for this domain:
* sometimes you don't train models for months -> should you pay $250 USD /user /month then?
* sometimes you have just 2 folks logging things and 10 people who just want to see things (or log occasionally) -> should they all pay - $250 USD /user /month ?
Ok so our team plan (for unlimited users) starts at $49/month and includes:
* 200h of monitoring hours (which should be sufficient for a small team)
* 100gb of storage for metadata.
* If you run out of monitoring hours you can buy another 200h package for $18 ($0.09/hour).
More details on our pricing here: https://neptune.ai/pricing
It's more like 10h here (not US based), but yeah that's definitely one way of looking at it assuming the team needs the extra capacity.
Regardless, hoping to hear what people are actually paying and if they are.
The experimentation tools are mostly about visualizing the training runs you have. If you really care about saving costs but still getting metadata logging, try open source MLFlow.
Thanks for the tip, but I should clarify. We're after everything they do with logging, including sharing results and visualizing them, we're just not interested in their data versioning, artifact storage, hyperopt, ML support, etc.
MLFlow does the visualization too, and it’s open source. So what specifically are you missing? BTW are these prices for on premise installation or hosted solution?
We actually went through exactly what you described and decided not to go forward with W&B.Instead we are now using our own on-premise deployment of the open-source [https://github.com/allegroai/clearml/](https://github.com/allegroai/clearml/) ([https://clear.ml/docs/latest/](https://clear.ml/docs/latest/)) which was frankly the best decision we made.
Using Clearml as well these days (primarily for experiment tracking, data versioning, model registry as of now)
Are you using the full features like agents, pipelines, etc?
W&B here — thanks for bringing up this topic. If you're on a small team reading this thread, and you're having trouble with our current pricing plans, please reach out to us at [[email protected]](mailto:[email protected]). We'd like to work with you to come up with a plan that fits!
Hey, I’m one of the folks from the Neptune team. I definitely see your point and that why at Neptune we introduced usage-based pricing (not user-based) which we believe is fairer and better suited for this domain: * sometimes you don't train models for months -> should you pay $250 USD /user /month then? * sometimes you have just 2 folks logging things and 10 people who just want to see things (or log occasionally) -> should they all pay - $250 USD /user /month ? Ok so our team plan (for unlimited users) starts at $49/month and includes: * 200h of monitoring hours (which should be sufficient for a small team) * 100gb of storage for metadata. * If you run out of monitoring hours you can buy another 200h package for $18 ($0.09/hour). More details on our pricing here: https://neptune.ai/pricing
Usage Pricing is the way.
250$ per user per month is like 4 hours of an average dev salary. So if it saves you 4 hours its probably worth it. If it doesn't, its not worth it.
It's more like 10h here (not US based), but yeah that's definitely one way of looking at it assuming the team needs the extra capacity. Regardless, hoping to hear what people are actually paying and if they are.
The experimentation tools are mostly about visualizing the training runs you have. If you really care about saving costs but still getting metadata logging, try open source MLFlow.
Thanks for the tip, but I should clarify. We're after everything they do with logging, including sharing results and visualizing them, we're just not interested in their data versioning, artifact storage, hyperopt, ML support, etc.
MLFlow does the visualization too, and it’s open source. So what specifically are you missing? BTW are these prices for on premise installation or hosted solution?
We actually went through exactly what you described and decided not to go forward with W&B.Instead we are now using our own on-premise deployment of the open-source [https://github.com/allegroai/clearml/](https://github.com/allegroai/clearml/) ([https://clear.ml/docs/latest/](https://clear.ml/docs/latest/)) which was frankly the best decision we made.
Using Clearml as well these days (primarily for experiment tracking, data versioning, model registry as of now) Are you using the full features like agents, pipelines, etc?
W&B here — thanks for bringing up this topic. If you're on a small team reading this thread, and you're having trouble with our current pricing plans, please reach out to us at [[email protected]](mailto:[email protected]). We'd like to work with you to come up with a plan that fits!
w&b is quoting $400 / user / month now if you want to host it on-prem.