A Collaborative ML Environment Enables Data Scientists, ML Engineers, & App Developers to Share Resources & Innovate Together
An underlying architecture which promotes creation, sharing and collaboration of reusable assets in an organization
Promotes creation of reusable assets
Promotes sharing of reusable assets
Promotes collaboration of reusable assets
A no-code, drag and drop building environment to author rapid development of ML pipelines and streaming workflows - democratizing the creation of AI applications.
Drag and drop
Democratizing creation of AI applications
Physarum Dev Tools
Perform quick exploratory data science, quickly access datasets, deploy training workload on GPU clusters or deploy multi-stage pipelines in Kubernetes Cluster.
Data Scientists can use Physarum Notebooks to access all the capabilities of the Physarum platform.
Physarum SDK provides a higher order DSL for expressing sophisticated concepts of reactive data engineering pipelines, machine learning pipelines and advanced deployment strategies in a low-code way - allowing developers to infuse AI in their applications and products easily.
Quickly access datasets
Physarum Notebooks for Physarum platform
Provides a higher order DSL
Create ML pipelines, streaming workflows and deployment plan using higher order Physarum DSL. Further extend the platform by authoring and sharing custom components fuelling a cycle of Creation and Consumption.
Create pipelines using higher order Physarum DSL
Custom component support fuelling a cycle of Creation and Consumption
Automate creation of advanced ML models for Computer Vision, NLP and tabular data by identifying top performing ML pipelines. The pipeline can also be expressed through both workflow builder and DSL by chaining re-usable components.
Automate creation of advanced ML models
Pipelines expressable through workflow builder and DSL
Supports all areas of ML, AI ie. Computer Vision, NLP and tabular data
Simplify streaming data pipelines using Physarum Streams - framework for development , deployment and monitoring of reactive streaming pipelines. A unified view for combining a dozens of integrations enabling data prep for ML
Simplify streaming data pipelines
Development , deployment and monitoring of reactive streaming pipelines
A unified view for combining a dozens of integrations
Import and export data from any cloud or database. A great set of integrations .
Work in a collaborative way and share resources with your team.
Create products with few drag and drops.
Deploy your product in the real world environment with single click.