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What is Zepl?

Efficiently coordinate, explore, and manage all projects within your data science team. Zepl's cutting-edge search functionality enables you to quickly locate and reuse both models and code. The enterprise collaboration platform allows you to query data from diverse sources like Snowflake, Athena, or Redshift while you develop your models using Python. You can elevate your data interaction through features like pivoting and dynamic forms, which include visualization tools such as heatmaps, radar charts, and Sankey diagrams. Each time you run your notebook, Zepl creates a new container, ensuring that a consistent environment is maintained for your model executions. Work alongside teammates in a shared workspace in real-time, or provide feedback on notebooks for asynchronous discussions. Manage how your work is shared with precise access controls, allowing you to grant read, edit, and execute permissions to others for effective collaboration. Each notebook benefits from automatic saving and version control, making it easy to name, manage, and revert to earlier versions via an intuitive interface, complemented by seamless exporting options to GitHub. Furthermore, the platform's ability to integrate with external tools enhances your overall workflow and boosts productivity significantly. As you leverage these features, you will find that your team's collaboration and efficiency improve remarkably.

What is Gemini Enterprise Agent Platform Notebooks?

Gemini Enterprise Agent Platform Notebooks deliver a comprehensive workspace for building, testing, and deploying machine learning models within a single, integrated environment. By combining the simplicity of Colab Enterprise with the advanced capabilities of Agent Platform Workbench, the platform supports both beginner-friendly and expert-level workflows. Users can directly connect to Google Cloud services such as BigQuery, Data Lake, and Apache Spark to analyze and process large datasets efficiently. The notebooks enable rapid prototyping with scalable compute resources and AI-powered code generation that speeds up development. Teams can move seamlessly from data exploration to training and production deployment without leaving the platform. Fully managed infrastructure handles compute provisioning, scaling, and cost optimization, reducing operational complexity. Security is built in with enterprise-grade controls, including single sign-on, authentication, and secure access to cloud resources. The platform supports multiple frameworks like TensorFlow and PyTorch, allowing flexibility in model development. Integrated visualization tools help users gain insights from data and monitor model performance. Deep integration with MLOps workflows enables automated training, versioning, and deployment through CI/CD pipelines. Notebook sharing and reporting features improve collaboration and communication across teams. Continuous optimization tools help refine models and improve accuracy over time. Overall, it transforms notebook-based development into a scalable, production-ready AI workflow solution.

Media

Media

Integrations Supported

Apache Spark
Google Cloud BigQuery
Jupyter Notebook
PyTorch
SQL
TensorFlow
Amazon Athena
Amazon EMR
Amazon S3
Azure Data Lake
Cline
DataOps.live
Gemini 3 Flash
Gemini Flash
Google Cloud Platform
JavaScript
Kubeflow
Mistral Large 2
Plotly Dash
ZenML

Integrations Supported

Apache Spark
Google Cloud BigQuery
Jupyter Notebook
PyTorch
SQL
TensorFlow
Amazon Athena
Amazon EMR
Amazon S3
Azure Data Lake
Cline
DataOps.live
Gemini 3 Flash
Gemini Flash
Google Cloud Platform
JavaScript
Kubeflow
Mistral Large 2
Plotly Dash
ZenML

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$10 per GB
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Zepl

Date Founded

2016

Company Location

United States

Company Website

www.zepl.com/product/

Company Facts

Organization Name

Google

Date Founded

1998

Company Location

United States

Company Website

cloud.google.com/products/gemini-enterprise-agent-platform/notebooks

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

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