Audience

Developers and enterprises in search of a solution to manage their multimodal data

About Daft

Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster. Daft can handle User-Defined Functions (UDFs) in columns, allowing you to apply complex expressions and operations to Python objects with the full flexibility required for ML/AI. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out-of-core on a distributed cluster.

Integrations

API:
Yes, Daft offers API access

Ratings/Reviews

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Company Information

Daft
United States
www.getdaft.io

Videos and Screen Captures

Daft Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Videos
Support
Online

Daft Frequently Asked Questions

Q: What kinds of users and organization types does Daft work with?
Q: What languages does Daft support in their product?
Q: What other applications or services does Daft integrate with?
Q: Does Daft have an API?
Q: What type of training does Daft provide?

Daft Product Features

Data Science

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

Daft Additional Categories