Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Emotion is an efficient and adaptable CSS-in-JS library tailored for crafting CSS styles via JavaScript, accommodating both string and object styles while ensuring an excellent developer experience with features like source maps, labels, and testing tools. It presents two robust usage patterns; one is a framework-agnostic method that requires no special setup yet facilitates vendor-prefixing, nested selectors, media queries, and class composition through its CSS and CX functions. The second pattern is specifically optimized for React, offering advanced functionalities such as the CSS prop for direct styling, akin to the style prop, yet with enhanced support for nested selectors, media queries, and theming features. This variant also allows for seamless server-side rendering without configuration, native theming options, and full compatibility with ESLint tools. Additionally, Emotion provides styled-component-like APIs that allow for both tag-based and component-based styled elements, promoting dynamic styling driven by props. Furthermore, these capabilities make Emotion an appealing choice for developers seeking to streamline their styling processes across various frameworks.
Description
Selector’s software-as-a-service leverages machine learning and natural language processing to deliver self-service analytics that facilitate immediate access to actionable insights, significantly decreasing mean time to resolution (MTTR) by as much as 90%. This innovative Selector Analytics platform harnesses artificial intelligence and machine learning to perform three critical functions, equipping network, cloud, and application operators with valuable insights. It gathers a wide array of data—including configurations, alerts, metrics, events, and logs—from diverse and disparate data sources. For instance, Selector Analytics can extract data from router logs, device performance metrics, or configurations of devices within the network. Upon gathering this information, the system normalizes, filters, clusters, and correlates the data using predefined workflows to generate actionable insights. Subsequently, Selector Analytics employs machine learning-driven data analytics to evaluate metrics and events, enabling automated detection of anomalies. In doing so, it ensures that operators can swiftly identify and address issues, enhancing overall operational efficiency. This comprehensive approach not only streamlines data processing but also empowers organizations to make informed decisions based on real-time analytics.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Apache Kafka
No
CSS
Yes
Dynatrace
No
Elastic Cloud
No
GitHub
No
GitLab
No
Google Cloud Platform
No
Grafana Cloud
No
Humio
No
JavaScript
Yes
Integrations
Apache Kafka
Yes
CSS
No
Dynatrace
Yes
Elastic Cloud
Yes
GitHub
Yes
GitLab
Yes
Google Cloud Platform
Yes
Grafana Cloud
Yes
Humio
Yes
JavaScript
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Emotion
Country
United States
Website
emotion.sh/docs/introduction
Vendor Details
Company Name
Selector
Country
United States
Website
www.selector.ai/product/
Product Features
Product Features
Network Monitoring
Bandwidth Monitoring
No
Baseline Manager
No
Diagnostic Tools
No
IP Address Monitoring
No
Internet Usage Monitoring
No
Real Time Analytics
No
Resource Management
No
SLA Monitoring
No
Server Monitoring
No
Uptime Monitoring
No
Web Traffic Reporting
No