Search Results for "json-cpp"

The app currently has 5547 manual pages, 22+ basic categories and a bunch of general terminal tips. It works 100% offline, doesn't need an internet connection and has no tracking software.

...Does your database engineer cry when you want to solve this by trying to cram little thumbnail images into your data to show as placeholders? Replace boring grey boxes with beautiful blurhash states and the designers will be happy. Blurhash strings are short enough to be added as a field in a JSON object and to be stored in a database. The implementations are small and easy to port to new languages, and the end result is a smooth and interesting experience for your users. In short, BlurHash takes an image and gives you a short string (only 20-30 characters!) that represents the placeholder for this image. You do this on the backend of your service and store the string along with the image.

Data frame is an abstraction for working with structured data. Essentially it’s a 2-dimensional table with labeled columns of potentially different types. You can think of it like a spreadsheet or SQL table, or a dictionary of series objects. The handiness of this abstraction is not in the table itself but in a set of operations defined on it. The Kotlin Dataframe library is an idiomatic Kotlin DSL defining such operations. The process of working with data frame is often called data...

Hoplite is a Kotlin library for loading configuration files into typesafe classes in a boilerplate-free way. Define your config using Kotlin data classes, and at startup Hoplite will read from one or more config files, mapping the values in those files into your config classes. Any missing values, or values that cannot be converted into the required type will cause the config to fail with detailed error messages.

krangl is a {K}otlin library for data w{rangl}ing. Implementing a grammar of data manipulation using a modern functional-style API, allows filtering, transforming, aggregating, and reshaping tabular data. krangl is heavily inspired by the amazing dplyr for R. krangl is written in Kotlin, excels in Kotlin, but emphasizes as well on good java-interop. It is mimicking the API of dplyr, while carefully adding more typed constructs where possible.