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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

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 

Screenshots View All

Screenshots View All

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 
Jira No 
Kombai Yes 
Microsoft Teams No 
MongoDB No 
PagerDuty No 
React Yes 
Slack No 
SolarWinds Access Rights Manager No 
Splunk Cloud Platform No 
Zabbix No 

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 
Jira Yes 
Kombai No 
Microsoft Teams Yes 
MongoDB Yes 
PagerDuty Yes 
React No 
Slack Yes 
SolarWinds Access Rights Manager Yes 
Splunk Cloud Platform Yes 
Zabbix Yes 

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 

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