Provision compute environments with one-click, in a cloud or on premise. Domino ships with distributions of the most popular data science tools—Jupyter, RStudio, R, Python, and more-your teams are free to build your own standard environments to share within your organization, as well. Run multiple experiments in parallel to iterate faster. Run multiple experiments in parallel across your hardware or elastically in the cloud to iterate faster.
Data science projects fail without close collaboration with stakeholders. A central hub lets your team expose work to the business more easily, creating a virtuous cycle of feedback and collaboration. One-click ways to publish or deploy models and results ensures your work drives real impact, instead of going unused.
Domino automatically tracks all data science experiments—code, data, parameters and results—so your team will never lose work and can always reproduce results. This reduces wasted effort and makes it easier to build upon past learnings in the future.
One central interface lets you check progress on work, see the latest results, get a sense of the most active projects, and leave comments or feedback, without interrupting your team or transacting over email.
Standardized compute environments and a canonical place to work lets new hires be productive on their first day. And with work in a central place instead of spread across machines, team members can quickly pick up where others left off, even months later.
Move the conversation to a central place, out of email. More shared context about ongoing work sparks creativity and new ideas. Code, data sets, results, and discussions are searchable, taggable, and discoverable, so there’s more reuse of existing work and less reinventing the wheel.