Exclusive Offers

Exclusive Offers

Exclusive Offers

Trusted by World Wide Data Teams

You can start using it right away too.

You can start using it right away too.

You can start using it right away too.

Trusted by 100+ Data Scientists

Trusted by 100+ Data Scientists

Affordable Pricing

Affordable Pricing

Affordable Pricing

Special Deals

Use it and multiply your team's skills.

Use it and multiply your team's skills.

Pro

$49

/month /seat

Perfect for regular Data Teams

Unlimited Libraries

1 Staging site

Regular support

Export/Import

Site integrations

Enterprise

Contact Us

For teams over 10 people

Everything on Pro

LDAP - Azure Acitive Directory

Premium support

Export/Import

50+ Integrations

Pro

$49

/month /seat

Perfect for regular Data Teams

Unlimited Libraries

1 Staging site

Regular support

Export/Import

Site integrations

Enterprise

Contact Us

For teams over 10 people

Everything on Pro

LDAP - Azure Acitive Directory

Premium support

Export/Import

50+ Integrations

Pro

$49

/month /seat

Perfect for regular Data Teams

Unlimited Libraries

1 Staging site

Regular support

Export/Import

Site integrations

Enterprise

Contact Us

For teams over 10 people

Everything on Pro

LDAP - Azure Acitive Directory

Premium support

Export/Import

50+ Integrations

Great Feedback

Great Feedback

Great Feedback

Redefine Collaboration

Excellent reviews from our extensive user base.

Excellent reviews from our extensive user base.

“Upsonic codebase has completely transformed our collaboration process.”

"Upsonic codebase has completely transformed our collaboration process. Our team now effortlessly shares and versions Jupyter notebooks, Python functions, and machine learning models with just a few simple commands. This streamlined approach has significantly boosted our productivity and allowed us to focus more on innovation rather than grappling with code management issues."

Sezer Bozkir

CTO at All Python Companies

@company

Any question? Talk with us.

Don't hesitate to talk to us about what we can do together. We love to chat.

Any question? Talk with us.

Don't hesitate to talk to us about what we can do together. We love to chat.

Any question? Talk with us.

Don't hesitate to talk to us about what we can do together. We love to chat.

More Question?

Check our frequently asked questions.

How is Upsonic different from solutions like GitHub or GitLab?

Git stores code as text. Upsonic, on the other hand, serializes the code and stores it live. This way, we can do things that we cannot achieve with Git systems. Python and Git do not natively support the .ipynb file format. Therefore, when you want to send your code to your Git provider, you need to exit JupyterLab and convert your notebooks to .py files. You also need to set configurations and manage dependencies when creating libraries. In Upsonic, there's never any need for configuration, and the configuration state never exists.

Which codes can I dump?

How is Upsonic different from Pip and Poetry?

Does it support every working environment?

Does the learning curve take time?

Can I also save my machine learning models?

How is Upsonic different from solutions like GitHub or GitLab?

Git stores code as text. Upsonic, on the other hand, serializes the code and stores it live. This way, we can do things that we cannot achieve with Git systems. Python and Git do not natively support the .ipynb file format. Therefore, when you want to send your code to your Git provider, you need to exit JupyterLab and convert your notebooks to .py files. You also need to set configurations and manage dependencies when creating libraries. In Upsonic, there's never any need for configuration, and the configuration state never exists.

Which codes can I dump?

How is Upsonic different from Pip and Poetry?

Does it support every working environment?

Does the learning curve take time?

Can I also save my machine learning models?

How is Upsonic different from solutions like GitHub or GitLab?

Git stores code as text. Upsonic, on the other hand, serializes the code and stores it live. This way, we can do things that we cannot achieve with Git systems. Python and Git do not natively support the .ipynb file format. Therefore, when you want to send your code to your Git provider, you need to exit JupyterLab and convert your notebooks to .py files. You also need to set configurations and manage dependencies when creating libraries. In Upsonic, there's never any need for configuration, and the configuration state never exists.

Which codes can I dump?

How is Upsonic different from Pip and Poetry?

Does it support every working environment?

Does the learning curve take time?

Can I also save my machine learning models?