4clojure is an interactive problem website for learning Clojure
Aleph exposes data from the network as a Manifold stream, which can easily be transformed into a java.io.InputStream, core.async channel, Clojure sequence, or many other byte representations. It exposes simple default wrappers for HTTP, TCP, and UDP, but allows access to full performance and flexibility of the underlying Netty library.
Babashka is a Clojure babushka for the grey areas of Bash.
Goals:
- Fast starting Clojure scripting alternative for JVM Clojure
- Easy installation: grab the self-contained binary and run. No JVM needed.
- Familiar: targeted at JVM Clojure users
- Cross-platform: supports linux, macOS and Windows
- Interop with commonly used classes (
System
,File
,java.time.*
,java.nio.*
) - Multi-threading support (
pmap
,future
) - Batteries included (tools.cli, cheshire, ...)
Cheshire is fast JSON encoding, based off of clj-json and clojure-json, with additional features like Date/UUID/Set/Symbol encoding and SMILE support.
Encoding example:
;; generate some json
(generate-string {:foo "bar" :baz 5})
;; write some json to a stream
(generate-stream {:foo "bar" :baz 5} (clojure.java.io/writer "/tmp/foo"))
;; generate some SMILE
(generate-smile {:foo "bar" :baz 5})
;; generate some JSON with Dates
;; the Date will be encoded as a string using
;; the default date format: yyyy-MM-dd'T'HH:mm:ss'Z'
(generate-string {:foo "bar" :baz (java.util.Date. 0)})
;; generate some JSON with Dates with custom Date encoding
(generate-string {:baz (java.util.Date. 0)} {:date-format "yyyy-MM-dd"})
;; generate some JSON with pretty formatting
(generate-string {:foo "bar" :baz {:eggplant [1 2 3]}} {:pretty true})
;; {
;; "foo" : "bar",
;; "baz" : {
;; "eggplant" : [ 1, 2, 3 ]
;; }
;; }
;; generate JSON escaping UTF-8
(generate-string {:foo "It costs £100"} {:escape-non-ascii true})
;; => "{\"foo\":\"It costs \\u00A3100\"}"
;; generate JSON and munge keys with a custom function
(generate-string {:foo "bar"} {:key-fn (fn [k] (.toUpperCase (name k)))})
;; => "{\"FOO\":\"bar\"}"
clojure-lsp is a LSP server implementation for multiple IDEs written in clojure
clojurescript is a compiler for Clojure that targets JavaScript. It is designed to emit JavaScript code which is compatible with the advanced compilation mode of the Google Closure optimizing compiler. Official web site: https://clojurescript.org
clojure-koans are a fun way to get started with Clojure - no experience assumed or required. Clojure Koans are exercises meant to initiate you to the mysteries of the Clojure language. By following along the path set before you, you will touch on all the major aspects of the language, from simple datatypes to macros, from tail recursion to Java interoperability. Many will find Clojure quite different from any programming language they've used before. The koans' incremental, interactive approach to learning the language will help make the transition feel natural. By the time you are finished with them, Clojure will not be so mysterious at all.
clojupyter is a Jupyter kernel for Clojure - run Clojure code in Jupyter Lab, Notebook and Console.
compojure — a small routing library for Ring that allows web applications to be composed of small, independent parts.
This small Compojure application demonstrates creating a Ring handler from two routes:
(ns hello-world.core
(:require [compojure.core :refer :all]
[compojure.route :as route]))
(defroutes app
(GET "/" [] "<h1>Hello World</h1>")
(route/not-found "<h1>Page not found</h1>"))
Cryogen is a simple static site generator built with Clojure. It's shipped on Leiningen so setup is fuss free and there's no need to mess with databases or other CMS systems.
Datascript — an immutable in-memory database and Datalog query engine in Clojure and ClojureScript.
Emmy is a Clojure(Script) implementation of the scmutils system for math and physics investigations in the Clojure and ClojureScript languages. Emmy provides facilities for
- symbolic computation, including state of the art TeX rendering and expression simplification
- automatic, numerical and symbolic differentiation
- numerical integration and optimization
- investigations in differential geometry and Lagrangian and Hamiltonian mechanics
And implementations of many different mathematical objects, all built on a tower of generic, extensible mathematical operations.
http-kit is a minimalist, event-driven, high-performance Clojure HTTP server/client library with WebSocket and asynchronous support.
Server:
(defn async-handler [ring-request]
;; unified API for WebSocket and HTTP long polling/streaming
(with-channel ring-request channel ; get the channel
(if (websocket? channel) ; if you want to distinguish them
(on-receive channel (fn [data] ; two way communication
(send! channel data)))
(send! channel {:status 200
:headers {"Content-Type" "text/plain"}
:body "Long polling?"}))))
(run-server async-handler {:port 8080}) ; Ring server
Client:
;; start concurrent requests, get promise, half the waiting time
(let [response1 (http-kit/get "http://http-kit.org/")
response2 (http-kit/get "http://clojure.org/")]
;; Handle responses one-by-one, blocking as necessary
;; Other keys :headers :body :error :opts
(println "response1's status: " (:status @response1))
(println "response2's status: " (:status @response2)))
Jepsen is a Clojure library. A test is a Clojure program which uses the Jepsen library to set up a distributed system, run a bunch of operations against that system, and verify that the history of those operations makes sense. Jepsen has been used to verify everything from eventually-consistent commutative databases to linearizable coordination systems to distributed task schedulers. It can also generate graphs of performance and availability, helping you characterize how a system responds to different faults. See aphyr.com for examples of the sorts of analyses you can carry out with Jepsen.
Klipse is a simple client-side code evaluator pluggable on any web page: clojure, ruby, javascript, python, scheme, es2017, jsx, brainfuck, c++, reagent and a clojure[script] web repl.
Checkout Klipse blog with interactive code snippets and the KLIPSE clojure web repl.
Luminus is a Clojure micro-framework based on a set of lightweight libraries. It aims to provide a robust, scalable, and easy to use platform.
Metabase is the easy, open source way for everyone in your company to ask questions and learn from data.
Overtone is an Open Source toolkit for designing synthesizers and collaborating with music.
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Pedestal is a set of libraries written in Clojure that aims to bring both the language and its principles (Simplicity, Power and Focus) to server-side development.
Here you can find samples.
Quil is a Clojure/ClojureScript library for creating interactive drawings and animations.
The secrets
is a library designed to generate cryptographically strong random numbers suitable for managing data such as passwords, account authentication, security tokens, and related secrets.
The secrets
is an implementation of the secrets
module from Python's standard library for Clojure.
See «Recipes and best practices» for usage examples.
Selmer. A fast, Django inspired template system for Clojure.
Selmer templates consist of plain text that contains embedded expression and filter tags. While Selmer is primarily meant for HTML generation, it can be used for templating any text.
Selmer compiles the template files and replaces any tags with the corresponding functions for handling dynamic content. The compiled template can then be rendered given a context map.
For example, if we wanted to render a string containing a name variable we could write the following:
(use 'selmer.parser)
(render "Hello {{name}}!" {:name "Yogthos"})
=>"Hello Yogthos!"
To render a file we can call render-file
instead:
(use 'selmer.parser)
(render-file "home.html" {:name "Yogthos"})
Specter. Advanced data navigator. Specter rejects Clojure's restrictive approach to immutable data structure manipulation, instead exposing an elegant API to allow any sort of manipulation imaginable. Specter especially excels at querying and transforming nested and recursive data, important use cases that are very complex to handle with vanilla Clojure.
(def data {:a [{:aa 1 :bb 2}
{:cc 3}]
:b [{:dd 4}]})
;; Manual Clojure
(defn map-vals [m afn]
(->> m (map (fn [[k v]] [k (afn v)])) (into (empty m))))
(map-vals data
(fn [v]
(mapv
(fn [m]
(map-vals
m
(fn [v] (if (even? v) (inc v) v))))
v)))
;; Specter
(transform [MAP-VALS ALL MAP-VALS even?] inc data)