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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

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 

Screenshots View All

Screenshots View All

Integrations

Docker No 

Integrations

Docker Yes 

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 

Product Features

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