Larissa | Larissa LRS is a free-to-use LRS implementation in progress | Runtime Evironment library

 by   Apereo-Learning-Analytics-Initiative Java Version: Current License: Apache-2.0

kandi X-RAY | Larissa Summary

kandi X-RAY | Larissa Summary

Larissa is a Java library typically used in Server, Runtime Evironment, Nodejs applications. Larissa has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Larissa LRS is a free-to-use LRS implementation in progress. Its aim is to provide a free-to-use locally deployable LRS that scales well beyond the ADL Reference Implementation. The target specification is at

            kandi-support Support

              Larissa has a low active ecosystem.
              It has 6 star(s) with 3 fork(s). There are 8 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 3 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of Larissa is current.

            kandi-Quality Quality

              Larissa has 0 bugs and 0 code smells.

            kandi-Security Security

              Larissa has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              Larissa code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              Larissa is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Larissa releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Larissa and discovered the below as its top functions. This is intended to give you an instant insight into Larissa implemented functionality, and help decide if they suit your requirements.
            • Store statements
            • Creates an agent object representing the authority of the user
            • Validates and store statements
            • Validates the given statement
            • Executes the query using the given filter
            • Returns view query
            • Converts a QueryFilter to a more efficient URL
            • Returns all statements that match the given filter
            • Returns the last indexed statement document
            • Parses the given JSON string as a Statement object
            • Do index
            • Store a statement
            • Checks if the given string is a valid language tag
            • Validates if the map is valid
            • Returns the end key
            • Filter out requests
            • Creates the design document
            • Validates if IRI is valid
            • Adds the headers to the response
            • Returns a response as a JSON response
            • Returns information about this application
            • Registers an objectMapper to the given ObjectMapper configuration
            • Configures the base mapper for the given object mapper
            • Region LRS Implementation
            • Create a StatementFilter from the given more URL
            • Gets the welcome page
            Get all kandi verified functions for this library.

            Larissa Key Features

            No Key Features are available at this moment for Larissa.

            Larissa Examples and Code Snippets

            No Code Snippets are available at this moment for Larissa.

            Community Discussions


            Using a complex pivot_wider to deal with a time series / longitudinal measurement design
            Asked 2021-Dec-22 at 21:03

            I have three variables in my dataset (name, age_group, parents_total). parents_total was measured two times. Now, I would like to usepivot_wider to keep the name and age_group but "compute" a new variable with the t2 result of the parents_total.

            In this example, age_group may change. If possible, I would like to compute this "t2" variable if age_group remained the same.

            Related topic: pivot_wider issue "Values in `values_from` are not uniquely identified; output will contain list-cols"

            "partial" pivot wide in r

            Data and codes



            Answered 2021-Dec-22 at 20:33
            dat %>%
              group_by(name, age_group) %>%
              mutate(tn = paste0("parents_total_t", row_number())) %>%
              pivot_wider(c(name, age_group), names_from = tn, values_from = parents_total) %>%
            # # A tibble: 58 x 4
            #    name                 age_group parents_total_t1 parents_total_t2
            #  1 "Arthur Henry Ra"    (6,8]                  177               NA
            #  2 "Laura Fernanda "    (12,14]                178               NA
            #  3 "Gabriel Mistro" (12,14]                 91               96
            #  4 "Gabriel Augusto"    (10,12]                128              112
            #  5 "Felipe Antonio "    [5,6]                  138               NA
            #  6 "Ana Beatriz de "    (8,10]                 146               NA
            #  7 "Laura Fernanda "    (10,12]                185               NA
            #  8 "Pedro Henrique "    (12,14]                177               NA
            #  9 "Felipe de Melo "    (6,8]                   97               NA
            # 10 "Gabriel Augusto"    (8,10]                  79              125
            # # ... with 48 more rows



            how to sort the results of Collectors.groupedBy in same stream statement?
            Asked 2021-Apr-23 at 06:30




            Answered 2021-Apr-23 at 05:32

            The map collected by groupingBy is not guaranteed to be a sorted map. It could be, for example a HashMap, which by its very nature has no order in its key value pairs.

            You can specify the type of map you want groupingBy to collect into:



            MongoDB unknown top level operator
            Asked 2020-Aug-01 at 20:45

            Well I'm having problems with aggragate of the mongo, I need to validate if in all the answers it doesn't have a field marked as deletedAt. My aggragate looks like this:



            Answered 2020-Aug-01 at 15:36

            Key references in $match stage shouldn't begin with $ sign.

            Remove $ sign from the $match stage.

            Also, the deletedAtkey for last two conditions should not be in separate parenthesis.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install Larissa

            You can download it from GitHub.
            You can use Larissa like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Larissa component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer For Gradle installation, please refer .


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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