A clone of Foundation's interchange component using CanJS's can.view.attr.
Protocol Buffers for JavaScript
Apache Arrow columnar in-memory format
Reorder ndarray dimensions and associated strides for loop interchange.
This package uses ES2015 decorators to simplify JSON schema creation and use
Reorder ndarray dimensions and associated strides for loop interchange.
Reorder ndarray dimensions and associated strides for loop interchange.
JSON for Humans
Parses JavaScript objects into XML
ESLint formatter for the SARIF (Static Analysis Results Interchange Format) v2.1.0 file format
Protocol Buffers for JavaScript
A JavaScript implementation of a extendable, fully compliant JSON Schema validator.
Apache Arrow columnar in-memory format
JSON for humans and machines
LDIF (LDAP Directory Interchange Format) tools for Node
Reorder ndarray dimensions and associated strides for loop interchange.
decycle your json
Reporter for jscpd. Generate a report in SARIF format (https://github.com/oasis-tcs/sarif-spec).
Apache Arrow columnar in-memory format
Douglas Crawford's JSON2, ported to a CommonJS compliant module
Saves an ndarray as an image to a file
A tool to ease webfont subsetting.
Kui package that offers a proxy server
A Unicode standard based way to implement emoji across all platforms.
I introduced Ruby and Apache Arrow integration including the "super fast large data interchange and processing" Apache Arrow feature at RubyKaigi Takeout 2021. This talk introduces how we can use the "super fast large data interchange and processing" Apache Arrow feature in Ruby. Here are some use cases: * Fast data retrieval (fast (({pluck}))) from DB such as MySQL and PostgreSQL for batch processes in a Ruby on Rails application * Fast data interchange with JavaScript for dynamic visualization in a Ruby on Rails application * Fast OLAP with in-process DB such as DuckDB and Apache Arrow DataFusion in a Ruby on Rails application or irb session
To use Ruby for data processing widely, Apache Arrow support is important. We can do the followings with Apache Arrow: * Super fast large data interchange and processing * Reading/writing data in several famous formats such as CSV and Apache Parquet * Reading/writing partitioned large data on cloud storage such as Amazon S3 This talk describes the followings: * What is Apache Arrow * How to use Apache Arrow with Ruby * How to integrate with Ruby 3.0 features such as MemoryView and Ractor
==== Ruby Topic Maps (RTM) RTM is a Topic Maps engine written in Ruby. See http://rtm.topicmapslab.de/ for instructions. Several backends and extensions are available as separate gems. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. ==== Quickstart require 'rtm' connection = RTM.connect # uses the default Ontopia in-memory backend topic_map = connection.create "http://example.org/my_topic_map/" some_topic = topicmap.get!("identifier_of_the_topic") some_topic["-"] = "default name for the topic" topic_map.to_xtm("my_xtm_file.xtm") ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== Backends * rtm-ontopia: JRuby only, recommended, uses Ontopia: http://code.google.com/p/ontopia/ * rtm-tinytim: JRuby only, uses TinyTiM: http://tinytim.sourceforge.net/ * rtm-activerecord: uses a custom ActiveRecord schema ==== Extensions * rtm-tmql: Adds support for the Topic Maps Query Language (TMQL), http://isotopicmaps.org/tmql/ * rtm-tmcl: Adds support for the Topic Maps Constraint Language (TMCL), http://isotopicmaps.org/tmcl/ ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0
==== Topic Maps for Rails (rtm-rails) RTM-Rails is the Rails-Adapter for Ruby Topic Maps. It allows simple configuration of topicmaps in config/topicmaps.yml. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. You can use RTM as a complement data storage to ActiveRecord in your Rails apps. ==== Quickstart - existing Rails project jruby script/generate topicmaps Run the command above after installing rtm-rails. This will create * a minimal default configuration: config/topicmaps.yml and * a file with more examples and explanations config/topicmaps.example.yml * a file README.topicmaps.txt which contains more information how to use it and where to find more information * an initializer to load the topicmaps at startup * a rake task to migrate the topic maps backends in your rails application. ==== Quickstart - new Rails project For a new Rails application these are the complete initial steps: jruby -S rails my_topicmaps_app cd my_topicmaps_app jruby -S script/generate jdbc jruby -S script/generate topicmaps # The following lines are necessary because Rails does not have a template # for the H2 database and Ontopia does not support the Rails default SQLite3. sed -e "s/sqlite3/h2/" config/database.yml > config/database.yml.h2 mv config/database.yml.h2 config/database.yml # Prepare the database and then check if all is OK jruby -S rake topicmaps:migrate_backends jruby -S rake topicmaps:check ==== Usage inside the application When everything is fine, let's create our first topic: jruby -S script/console TM[:example].get!("http://example.org/my/first/topic") # and save the topic map TM[:example].commit Access the configured topic maps anywhere in your application like this: TM[:example] To retrieve all topics, you can do TM[:example].topics To retrieve a specific topic by its subject identifier: TM[:example].get("http://example.org/my/topic") Commit the changes to the database permanently: TM[:example].commit ... or abort the transaction: TM[:example].abort More information can be found on http://rtm.topicmapslab.de/ ==== Minimal configuration default: topicmaps: example: http://rtm.topicmapslab.de/example1/ The minimal configuration creates a single topic map, named :example with the locator given. This topic map will be persisted in the same database as your ActiveRecord connection if not specified otherwise. The default backend is OntopiaRDBMS (from the rtm-ontopia gem). A more complete configuration can be found in config/topicmaps.example.yml after running "jruby script/generate topicmaps". It also includes how to specifiy multiple connections to different data stores and so on. ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0
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