Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
In a secure and manageable setting, users can swiftly derive insights from their data. Data can be collected in various formats and types, enabling the creation of new variables and the selection of specific cases of interest. Through effective data analysis techniques, both numerical and categorical variables can be thoroughly examined and analyzed. Results can be presented either in tabular form or through graphical representations. Additionally, users can investigate the relationships between different variables and assess the significance of these relationships. Various statistical tests, such as Pearson and Spearman correlations, Chi-Square tests, T-Tests for independent samples, Mann-Whitney, ANOVA, and Kruskal-Wallis, can be employed to achieve this. Moreover, the most commonly used measures of scale reliability can be easily selected and calculated. One can also verify the consistency of dimensions in the dataset. Utilizing measures like Cronbach's Alpha—both raw and standardized, with or without item deletion—Guttman’s six, and Intraclass correlation coefficients (ICC), provides further insights into the reliability of the data. This comprehensive approach ensures a thorough understanding of the data's structure and relationships.
Description
runc is a command-line interface utility designed to create and manage containers in accordance with the OCI specification, but it is limited to Linux environments. For compilation, it requires Go version 1.17 or higher, and to activate seccomp features, libseccomp must be installed on your system. The tool offers optional build tags that allow for the inclusion of various functionalities, many of which are activated by default. Currently, runc allows its test suite to be executed through Docker, and simply typing `make test` initiates this process. Although there are additional make targets available for testing outside of a container, this practice is discouraged since the tests assume permission to read and write files freely. You can also specify individual test cases using the TESTFLAGS variable, or focus on a particular integration test with the TESTPATH variable; for rootless integration tests, the ROOTLESS_TESTPATH variable should be used. It’s important to remember that runc serves as a foundational tool rather than one intended for end-user interaction, making it more suitable for developers who need lower-level container management capabilities. Ultimately, understanding its purpose and use cases is essential for effective application.
API Access
Has API
No
API Access
Has API
No
Integrations
Docker
No
Pricing Details
$29.90/month/user
Free Trial
Yes
Free Version
No
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Quark Analytics
Founded
2019
Country
Portugal
Website
www.quarkanalytics.com
Vendor Details
Company Name
Open Container Initiative (OCI)
Website
github.com/opencontainers/runc
Product Features
Data Analysis
Data Discovery
No
Data Visualization
No
High Volume Processing
No
Predictive Analytics
No
Regression Analysis
No
Sentiment Analysis
No
Statistical Modeling
No
Text Analytics
No
Statistical Analysis
Analytics
No
Association Discovery
No
Compliance Tracking
No
File Management
No
File Storage
No
Forecasting
Yes
Multivariate Analysis
Yes
Regression Analysis
Yes
Statistical Process Control
Yes
Statistical Simulation
No
Survival Analysis
No
Time Series
No
Visualization
No