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Validate JSON data using JSON Schema.

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A simple data structure for a group of function arguments. Used by the mock package.

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Generic and Dynamic Arrays

Concise Typed Racket syntax for declaring recursive data in BNF

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red-black trees. Includes implementations of augmented red-black trees, positional red-black trees, and an ordered set backed by a rb-tree.

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data-table provides a set of tools for working with tabular data. Still under construction.

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A collection of toy datasets and the utilities to load them into a variety of tabular formats in Racket

datasets-fetch

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The datasets of ISLR2 and of The Elements of Statistical Learning

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Datasets that mirror R's teaching datasets from CRAN

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Classic machine-learning datasets from the UCI Machine Learning Repository

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Deterministic Dictionaries

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A double linked ring data structure

Deterministic Sets

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A library for reading and writing EBML files.

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Reading and writing CSV files from Racket... Except easier.

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Persistent Functional Vectors

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Finger Trees

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Generic interface for some queues. Used by graph-lib

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Generic Little (Object, Type, Anything, ...) System - multiple dispatch on types

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Generic graph library.

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FFI bindings to the hdf5 library

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Library for working with points in 2d space

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A #lang for JSON data

Ordinal numbers supporting addition, multiplication, and exponentiation.

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Functional priority queues

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Composable, functional lenses

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Base lens constructors and additional combinators

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Lens constructors for various Racket data structures

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Unstable and experimental features for lenses

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Local polynomial regressions for Racket.

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Pure-Racket implementation of the LZF compression format, bit-compatible with liblzf (as used in Redis RDB files and python-lzf). Includes both a greedy compressor and an auto-growing decompressor.

Mischief: A Racketeer's Toolkit

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Mischief: A Racketeer's Toolkit [development branch]

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A small lense library. (docs & implementation)

Linter for a small lense library.

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An implementation of Haskell’s MVars in Racket

Racket FFI bindings to nanoarrow (Apache Arrow): read and write Arrow IPC files and streams — record batches with primitive column types — without installing Arrow C++ or pyarrow.

Support for the Apache Parquet column-oriented file format. Uses the thrift package for actual file handling.

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Pure-Racket reader and writer for PCD point-cloud files (Point Cloud Library format): ascii, binary and binary_compressed data.

A semi-persistent array

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A persistent implementation of the union-find data structure

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Purely functional data structures for Typed Racket

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Algebraic Data Types for Typed/Racket, with features tailored to compiler writing. The data types do not have to be declared before they are used, like prefab structs and symbols. Behind the scenes, this library remembers all the data types in a file, and uses it to implicitly pre-declare them. Mostly stable, although some things may change a bit in the future.

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Bindings to the polars data frame library

Preserves is a new data model and serialization format in many ways comparable to JSON, XML, S-expressions, CBOR, ASN.1 BER, and so on.

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Offline exact-label work queues for property enquiries: market/language/topic routing, overlap preflight, ambiguous-priority review and minimal HTML/JSON reports. By NovAsia Estate — https://novasia.estate/

Fast, immutable, persistent vectors

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A fairly simple quad-tree implementation. Nothing terribly fancy. Currently rather unstable.

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A Racket DataFrames package.

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Purely Functional Random Access Lists

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A collection of infrastructure libraries

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protocol for restore program state

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An imperative overwriting ring buffer data structure

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SCheme Object Notation (Economized) -- scone

Use `racket/set` instead

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Sinbad is a software library that makes it very easy to uniformly access online data sources provided in standard formats (CSV, JSON, XML).

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Semi-persistent matrices based on spvectors

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Semi-persistent vectors that provide O(1) performance for linear use, but O(n) performance for non-linear accesses

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An implementation of Suffix Trees using Ukkonen's algorithm

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A fast, efficient, immutable, dataframes implementation.

Support for the Apache Thrift messaging framework

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Queues for typed racket

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Schema validation and typed JSON decoding for untrusted data