Zepl

Zepl

Zepl streamlines data science collaboration by enabling teams to sync, search, and manage their projects effortlessly. With powerful search capabilities, users can easily discover and reuse models and code. The platform supports querying data from Snowflake, Athena, or Redshift, allowing model building in Python, enhanced by dynamic forms and interactive visualizations like heatmaps and radar charts. Each notebook runs in a new container, ensuring consistent execution. Team members can collaborate in real time, leave comments, and utilize fine-grained access controls. Notebooks are auto-saved, versioned, and easily managed, allowing seamless exports to GitHub.

Top Zepl Alternatives

1

Solvuu

This innovative data science platform empowers life scientists to transform microbiome research into actionable insights.

2

IBM Watson Studio

IBM Watson Studio is a robust platform for data scientists and developers, designed to streamline the creation, management, and deployment of AI models across multicloud environments.

3

Outerbounds

The Outerbounds platform empowers data scientists to seamlessly design, develop, and deploy data-intensive projects using Metaflow.

4

IBM Watson Machine Learning

Empowering data scientists and developers, IBM Watson Machine Learning enables seamless building, training, and deployment of AI models across multicloud environments.

5

Vectice

The Data Science Documentation Platform empowers data scientists and model developers to enhance AI trustworthiness and streamline collaboration.

6

Salesforce Einstein

Salesforce Einstein revolutionizes customer relationship management by integrating data science and AI, enabling organizations to enhance customer experiences with actionable insights.

7

Kedro

It features a versatile Data Catalog supporting multiple data sources and formats, automated dependency resolution...

8

Anaconda Enterprise

It facilitates seamless collaboration between software developers and data scientists, allowing for the efficient development...

9

Daft

It enables efficient data engineering, seamlessly scaling from local environments to petabyte-scale distributed workloads...

10

DataRobot

This platform is available at cloud mode and is supported by the latest open-source algorithms...

11

dotData

By automating data exploration and analysis, it unveils critical business drivers from complex datasets swiftly...

12

Dataiku DSS

With a user-friendly interface, it enhances collaboration across teams, streamlines data preparation, and accelerates project...

13

Knoldus

By transitioning from concepts to tangible results through rapid prototyping, they ensure efficient MVP deployment...

14

H2O

It enables seamless integration of any LLM or embedding model, offering scalability with Kubernetes...

15

Deepnote

Seamlessly integrating with popular data sources, it empowers teams to collaborate in real-time while ensuring...