The Canvas

A Unified Coding Environment, with a Difference

Zerve’s Canvas based coding environment sits on top of a stable architecture, ensuring stability for AI, ML and Data Science teams.

Develop

Zerve's platform removes development barriers - analyse better and execute faster

Cloud compute optimization

Optimise and manage your compute resources - spin up memory on demand and allocate at a granular code block level.

Notebook import

Drag and drop or import any notebook into Zerve. Zerve will parse the notebook by mapping the dependencies through the AST’s in the notebook, automatically identifying any opportunities to parallelize the notebook.

Language interoperability

Connect Python, R, & SQL code blocks seamlessly, true language interoperability.

Parallel processing

Run multiple code blocks in parallel with zerve - Zerve’s multi-kernel architecture enables unlimited parallelization.

Manage

A new center of gravity for productivity and collaboration. Zerve keeps everyone in your organization aligned and working without friction.

Comment, share & review

All the standard “collaborative” features you expect to see but with a difference - Zerve’s underlying stability

Organizational assets

Share organizationally saved snippets of code, whether that be a function, query, constant or connection, all of which can be shared, saved and re-used across canvases

Organization controls

Providing complete oversight and flexibility with built in user access controls as well as standard and custom roles and permissions

Version control

Seamlessly connect Zerve to your GitHub to handle all code versioning

Dependancy management

Dependency management is made simple with Zerve requirements, with a library of pre-built packages already installed, users can add additional packages, define versions and also add custom requirements

Deploy

Zerve allows you to deploy, manage and scale with enterprise-grade security built in.

Self-hosting

Ensure the data never leaves your own domain by connecting Zerve to your AWS, Azure or GCP instance.

Deployment

Seamlessly deploy directly from within Zerve or export via docker in to your own production pipelines.

Seamless handover

With Zerve, data engineers no longer have to spend time recoding a data scientist's work for production. Zerve makes it easy to handover to a data engineer in the format they need.

Automate

Automate your production workflows with scheduled jobs, triggered jobs and CI/CD

Stable development leads to easy deployment

Zerve’s stable development layer means there’s no need to recode your analysis or change environments. With Zerve’s architecture and GitHub integration, your experimentation and analysis can be safely utilized for deployment.