A Simple component to show an object in a table format.
A plugin for DatoCMS that makes it possible to add/insert a key and value and output a simple JSON table
Simple key-value storage with support for multiple backends
A plugin for DatoCMS that makes it possible to add/insert a key and value and output a simple JSON table, where as the value input field represents a textarea
JSON Schema validation and specifications
JSON.parse with context information on error
Parse and stringify JSON with comments. It will retain comments even after saved!
Convert XML to JSON - Fast & Simple
Simple CLDR traverser
Simple to use, blazing fast and thoroughly tested websocket client and server for Node.js
Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware encoding of JSON for LLM prompts
JSON.parse with context information on error
Generate a markdown (GFM) table
Converts Zod schemas to Json Schemas
Browser Compatible Object Hashing
Find and load configuration from a package.json property, rc file, TypeScript module, and more!
A light-weight module that brings Fetch API to node.js
A simple key/value storage using files to persist the data
Build and manage the fast-json-stringify instances for the fastify framework
A simple package with no dependencies for native requests using callback
A window.fetch polyfill.
A fast and easy to use JSON Schema validator
Stylable text tables, handling ansi colour. Useful for console output.
An ultra lightweight alternative to datatables or dynatables, with built in Rails helpers. Still under construction [insert animated construction worker here].
Asset pipeline bundling of the tidy table jquery plugin.
Rails Vault is a simple to use gem to add settings and preferences to ActiveRecord models. The settings are stored as JSON in a separate table.
A simple yet powerful tool to analyze method usage in Ruby/Rails codebases. Track which methods are called most frequently, filter by receivers or method names, and export results in table, JSON, or CSV format. Perfect for understanding code patterns, refactoring decisions, and identifying heavily-used APIs.
NTable provides a convenient data structure for storing n-dimensional tabular data. It works with zero-dimensional scalar values, arrays, tables, and any arbitrary-dimensional hypertables. Each dimension is described by an axis object. The "rows" in that dimension might be identified by numbers or names. You can perform slice operations across any dimension, as well as reductions and dimensional decomposition. Finally, serialization is provided via a custom JSON schema, as well as a simple "hash of hashes" or "array of arrays" approach.
Geoptima is a suite of applications for measuring and locating mobile/cellular subscriber experience on GPS enabled smartphones. It is produced by AmanziTel AB in Helsingborg, Sweden, and supports many phone manufacturers, with free downloads from the various app stores, markets or marketplaces. This Ruby library is capable of reading the JSON format files produced by these phones and reformating them as CSV, GPX and PNG for further analysis in Excel. This is a simple and independent way of analysing the data, when compared to the full-featured analysis applications and servers available from AmanziTel. If you want to analyse a limited amount of data in excel, or with Ruby, then this GEM might be for you. If you want to analyse large amounts of data, from many subscribers, or over long periods of time then rather consider the NetView and Customer IQ applications from AmanziTel at www.amanzitel.com. Current features available in the library and the show_geoptima command: * Import one or many JSON files * Organize data by device id (IMEI) into datasets * Split by event type * Time ordering and time correlation (associate data from one event to another): ** Add GPS locations to other events (time window and interpolation algorithms) ** Add signal strenth, battery level, etc. to other events * Export event tables to CSV format for further processing in excel * Make and export GPS traces in GPX and PNG format for simple map reports The amount of data possible to process is limited by memory, since all data is imported in ruby data structures for procssing. If you need to process larger amounts of data, you will need a database-driven approach, like that provided by AmanziTel's NetView and Customer IQ solutions. This Ruby gem is actually used by parts of the data pre-processing chain of 'Customer IQ', but it not used by the main database and statistics engine that generates the reports.
Contentful API wrapper library exposing an ActiveRecord-like interface
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