Machine is a cloud resource that runs your project within our cloud environment. More specifically, we assign you a part of a large computational node that runs a so-called container, which contains the iPython kernel as well as some Deepnote related code. We took great care to secure the containers so your data is safe even when using shared resources.
Standard machines are a cloud resource available to every Deepnote user.
Pro machines have up to 16G of RAM and 4vCPUs. Note the machines are running on shared hardware so the actual upper limits depend on the cluster loads. They are a part of the paid plans.
Performance machines have up to 64G of RAM and 16vCPUs. Note the machines are running on shared hardware so the actual upper limits depend on the cluster loads. They are a part of the paid plans.
All machines (regardless of whether they are Standard, Pro or Performance) have 5GB of disk space available.
Not right now. We are working on adding them as soon as possible.
Yes, dedicated machines are available as part of the Enterprise plan. Please contact us if you are interested in having projects running on a dedicated machine (with or without custom specs).
The Individual plan is aimed at beginners, hobbyists, and data science side projects.
It comes with a monthly limit of 50 Standard machine hours, which can be extended up to 750 Standard machine hours by completing the onboarding tasks. 750 hours is equivalent to running 1 machine non-stop for the whole month.
You can create projects in your personal space and share them with up to 3 other editors (and unlimited viewers). You can also make the project public and share it via a link, in which case you can have as many collaborators (including editors) as needed.
You can create and add integrations to your projects, but you can't share them with anyone else.
The Team plan is paid and is aimed for teams and start-ups to collaborate on notebooks and experiments. Teams have 3 machines available - Standard, Pro and Performance. Teams pay only for the editor and admin members, viewers are free.
Every editor or admin team member adds 750 hours to the Standard machine option (so 2 admin members in a team will have access to 1500 hours of the Standard machine). Any usage of Pro or Performance machines, or the usage of Standard machines above the 750 hours quota are billed separately.
All team projects can have an unlimited number of collaborators (including collaborators outside of the team).
Team integrations can be shared within the team projects. This means that everyone can access e.g. the same Postgres database.
Using Deepnote as an individual is free, and comes with 50–750 hours of Standard machines quota. To earn the full 750 hours, complete all of the onboarding tasks. Extra usage above this quota is billed by the minute.
Using Pro or Performance hardware options, or Standard machines above the 50–750 hours quota are billed based on minute level usage.
Cost (per hour)
The machine fee is billed at the end of the billing period.
There are two price components: the subscription fee and the machine fee based on usage.
A team costs $12 per editor or admin. Viewers are free. For every editor or admin, the team gets 750 hours of the Standard machine running time. These hours are shared across all team members who are able to execute the team machines.
Cost (per month)
There is not an option to pay annually, only monthly. The subscription fee is billed at the beginning of a billing period.
Example: Your team has 4 members, so the total price you will be billed is $48/mo. The team has 3000 hours of the Standard machine available. These resources can be shared by all team members who have the required access level.
Using Pro or Performance hardware options, or Standard machines above the 750 hours quota are billed based on minute level usage.
Cost (per hour)
Standard (above free limit)
The machine fee is billed at the end of the billing period.
Example: Your team has 10 members. Within a month you use 10,600 hours of Standard machines, 900 hours of Pro machines, and 150 hours of Performance machines. The machine fee will be $0.50 * 3,100 hours for Standard machines (10,600 - 10 * 750 of free quota) + $1.02 * 900 + $3.97 * 150 = $3,113.5. The total together with the subscription fee ($12 * 10) will come to $3,233.5.
When you sign up to Deepnote, you get 50 hours of Standard machine hours to start with. You can complete a series of onboarding tasks to earn up to 750 free hours. The onboarding tasks are described in your dashboard.
750 hours loosely correspond to an unlimited running of a single project every month (31 days * 24 hours = 744 hours). You can run as many projects as you want in Deepnote at the same time, so it's possible to run out of the limit.
The remaining hours are not transferred to the next month. The limit resets monthly. The exact usage can be seen on your settings page.
You will no longer be able to execute cells. You will still have access to all of your projects and files, you can view or download them.
You can purchase additional machine hours to continue using Deepnote.
Every project has a 5GB disk quota. If you run out, no further changes will be allowed in the project unless you free up some space.
If you have a large dataset, we recommend accessing it through one of our Integrations.
Yes, most definitely. You can run up to 3 projects in parallel with personal projects on Standard hardware. You can run an unlimited amount of team projects, or personal projects which run on Pro or Performance hardware.
You can also run multiple notebooks in parallel in a single project. The notebooks will divide resources from the same machine, so they will be not as fast as when a single notebook is running. Running multiple notebooks in the same project does not use extra hours from the limit.
Yes! Deepnote has a team plan which is free for educational purposes for an unlimited number of team members. This option includes advanced collaboration features like shared integrations but is limited to Standard machines.
To set up this plan:
Create a free Deepnote account
To verify you're a student or a teacher, please send an email to [email protected] from your academic email address. If your Deepnote account is not registered under the academic email, please mention the email of the account where we should enable the academic team plan.
A team can be created by clicking "New team" in the left sidebar on your dashboard. You need to sign in to see it.
The subscription fee is billed at the beginning of a billing period. The machine fee is billed at the end of the billing period.
If you are adding or removing a team member who has only permissions to view team projects, then there are no billing changes.
If you are adding an editor or admin, you will be charged the prorated monthly cost of the member at the end of the billing period.
Example: You have a 2 member team paying $24/mo. Halfway through the billing period, you add a third member. This means your next invoice will be $42 (3 members for $36 plus the prorated price of $6 of the new member from the previous month).
If you remove an editor or admin, you will be deducted the prorated cost of the member from the next month's invoice.
Example: You have a 2 member team paying $24/mo. Halfway through the billing period, you remove one of the members. This means your next invoice will be $6 (1 member for $12 minus the prorated price of $6 of the removed member).
You can cancel your team plan in the team settings. Cancelling a team plan will also delete the team. This can't be undone.
We will refund the remaining monthly bill to your card.
You will need to cancel your subscription, which also deletes the team.
We use Stripe for all payments. We do not handle your credit card information directly.
We don't offer refunds for previous months. If you cancel a subscription for a team, the prorated amount for the current month will be refunded to your card. This may take up to 3 days.
If you have questions or issues with the refunds, please reach out to [email protected]
Absolutely! All teams have a separate machine limit (plus you have your personal machine limit) so you can use resources from all the team you have access to.