Average Ratings 0 Ratings
Average Ratings 1 Rating
Description
React Spectrum serves as a React-based version of Adobe's Spectrum design system, offering a variety of components that adapt seamlessly to different interactions and screen sizes on various devices. Notably, it ensures full accessibility with support for screen readers and keyboard navigation, making it user-friendly for all. The components are crafted to accommodate mouse, touch, and keyboard inputs, adhering to responsive design principles to provide an optimal user experience across all devices. Furthermore, React Spectrum automatically adjusts to dark and light modes in alignment with the user's operating system settings. In addition to this, the framework supports more than 30 languages, which includes features for right-to-left languages, as well as date and number formatting. The extensive library of components encompasses buttons, pickers, collections, date and time inputs, color selection tools, forms, navigation elements, overlays, status indicators, and various content components. This wide-ranging set of tools ensures that developers can create accessible and versatile applications tailored to diverse user needs.
Description
Pandas is an open-source data analysis and manipulation tool that is not only fast and powerful but also highly flexible and user-friendly, all within the Python programming ecosystem. It provides various tools for importing and exporting data across different formats, including CSV, text files, Microsoft Excel, SQL databases, and the efficient HDF5 format. With its intelligent data alignment capabilities and integrated management of missing values, users benefit from automatic label-based alignment during computations, which simplifies the process of organizing disordered data. The library features a robust group-by engine that allows for sophisticated aggregating and transforming operations, enabling users to easily perform split-apply-combine actions on their datasets. Additionally, pandas offers extensive time series functionality, including the ability to generate date ranges, convert frequencies, and apply moving window statistics, as well as manage date shifting and lagging. Users can even create custom time offsets tailored to specific domains and join time series data without the risk of losing any information. This comprehensive set of features makes pandas an essential tool for anyone working with data in Python.
API Access
Has API
API Access
Has API
Integrations
3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Cleanlab
Coiled
DagsHub
Dagster
Dash
Giskard
Integrations
3LC
Activeeon ProActive
Amazon SageMaker Data Wrangler
ApertureDB
Cleanlab
Coiled
DagsHub
Dagster
Dash
Giskard
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
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
Adobe
Founded
1982
Country
United States
Website
react-spectrum.adobe.com/react-spectrum/index.html
Vendor Details
Company Name
pandas
Founded
2008
Website
pandas.pydata.org
Product Features
Product Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics