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Description
Dask is a freely available open-source library that is developed in collaboration with various community initiatives such as NumPy, pandas, and scikit-learn. It leverages the existing Python APIs and data structures, allowing users to seamlessly transition between NumPy, pandas, and scikit-learn and their Dask-enhanced versions. The schedulers in Dask are capable of scaling across extensive clusters with thousands of nodes, and its algorithms have been validated on some of the most powerful supercomputers globally. However, getting started doesn't require access to a large cluster; Dask includes schedulers tailored for personal computing environments. Many individuals currently utilize Dask to enhance computations on their laptops, taking advantage of multiple processing cores and utilizing disk space for additional storage. Furthermore, Dask provides lower-level APIs that enable the creation of customized systems for internal applications. This functionality is particularly beneficial for open-source innovators looking to parallelize their own software packages, as well as business executives aiming to scale their unique business strategies efficiently. In essence, Dask serves as a versatile tool that bridges the gap between simple local computations and complex distributed processing.
Description
Transforming basic prototypes into fully functional web applications is now a swift process. You no longer need to make sacrifices regarding performance, customization, or scalability. Taipy boosts performance through effective caching of graphical events, ensuring that graphical components are rendered only when necessary, based on user interactions. With Taipy's integrated decimator for charts, managing extensive datasets becomes a breeze, as it smartly minimizes data points to conserve time and memory while preserving the fundamental structure of your data. This alleviates the challenges associated with sluggish performance and high memory demands that arise from processing every single data point. When dealing with large datasets, the user experience and data analysis can become overly complex. Taipy Studio simplifies these situations with its robust VS Code extension, offering a user-friendly graphical editor. It allows you to schedule method invocations at specific intervals, providing flexibility in your workflows. Additionally, you can choose from a variety of pre-defined themes or craft your own, making customization both simple and enjoyable.
API Access
Has API
API Access
Has API
Integrations
Amazon SageMaker
Coiled
Dagster
Databricks Data Intelligence Platform
Dataiku
Domino Enterprise MLOps Platform
Flyte
Google Cloud Platform
Google Colab
Kedro
Integrations
Amazon SageMaker
Coiled
Dagster
Databricks Data Intelligence Platform
Dataiku
Domino Enterprise MLOps Platform
Flyte
Google Cloud Platform
Google Colab
Kedro
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$360 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Dask
Founded
2019
Website
dask.org
Vendor Details
Company Name
Taipy
Founded
2021
Country
France
Website
taipy.io
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports
Product Features
Data Science
Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports