• Stars
    star
    233
  • Rank 172,230 (Top 4 %)
  • Language
    Scala
  • License
    MIT License
  • Created about 4 years ago
  • Updated about 2 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A parsing library for the cats ecosystem

cats-parse

Continuous Integrationcodecov

A parsing library for the cats ecosystem.

To use in sbt add, the following to your libraryDependencies:

// use this snippet for the JVM
libraryDependencies += "org.typelevel" %% "cats-parse" % "0.3.9"

// use this snippet for JS, or cross-building
libraryDependencies += "org.typelevel" %%% "cats-parse" % "0.3.9"

The API docs are published.

Why another parsing library? See this blog post detailing the design. To reiterate, this library has a few goals:

  1. Compatibility: should work on all scala platforms and recent versions. Currently it supports JVM, JS on versions 2.11, 2.12, 2.13, and 3. The core library should have minimal dependencies. Currently this library only depends on cats.
  2. Excellent performance: should be as fast or faster than any parser combinator that has comparable scala version support.
  3. Cats friendliness: method names match cats style, and out of the box support for cats typeclasses.
  4. Precise errors: following the Haskell Trifecta parsing library, backtracking is opt-in vs opt-out. This design tends to make it easier to write parsers that point correctly to failure points.
  5. Safety: by separating Parser0, a parser that may consume no input, from Parser, a parser must consume at least one character on success. Most combinators and methods can be made safer to use and less prone to runtime errors.
  6. Stability: we are very reluctant to break compatibility between versions. We want to put a minimal tax on users to stay on the latest versions.

Tutorial

Simple parser

The library provides a set of simple parsers which might be combined to create any parsing logic. The simplest parser is Parser.anyChar which is successful where there is one char at the input. It has type Parser[Char] which means it returns one parsed char.

To provide any input to parser one need to use parse method.

import cats.parse.Parser

val p: Parser[Char] = Parser.anyChar

p.parse("t")
// res0: Either[Error, Tuple2[String, Char]] = Right((,t))
p.parse("")
// res1: Either[Error, Tuple2[String, Char]] = Left(Error(0,NonEmptyList(InRange(0,,))))
p.parse("two")
// res2: Either[Error, Tuple2[String, Char]] = Right((wo,t))

Notice the return type. Tuple2[String, Char] contains the rest of the input string and one parsed char if parsing was successful. It returns Left with error message if there was some parsing error.

Mapping output

The output of the parser might be processed with map method:

import cats.parse.Parser

case class CharWrapper(value: Char)

val p: Parser[CharWrapper] = Parser.anyChar.map(char => CharWrapper(char))

p.parse("t")
// res0 = Right((,CharWrapper(t)))

There are built-in methods for mapping the output to types String or Unit:

import cats.parse.Rfc5234.digit
import cats.parse.Parser

/* String */

val p2: Parser[String] = digit.map((c: Char) => c.toString)
// is analog to
val p3: Parser[String] = digit.string

p3.parse("1")
// res0: Either[Error, Tuple2[String, String]] = Right((,1))

/* Unit */

val p4: Parser[Unit] = digit.map(_ => ())
// is analog to
val p5: Parser[Unit] = digit.void

p5.parse("1")
// res1: Either[Error, Tuple2[String, Unit]] = Right((,()))

Combining parsers

The parsers might be combined through operators:

  • ~ - product. Allows continuing parsing if the left side was successful;
  • <*, *> - productL and productR. Works just like product but drop part of result;
  • surroundedBy - identical to border *> parsingResult <* border;
  • between - identical to border1 *> parsingResult <* border2;
  • |, orElse. Parser will be successful if any of sides is successful.

For this example we'll be using cats.parse.Rfc5234 package which contains such parsers as alpha (Latin alphabet) and sp (whitespace).

import cats.parse.Rfc5234.{sp, alpha, digit}
import cats.parse.Parser

/* Product */

// the sp parser won't return the whitespace, it just returns Unit if it successful
val p1: Parser[(Char, Unit)] = alpha ~ sp

p1.parse("t")
// res0: Either[Error, Tuple2[String, Tuple2[Char, Unit]]] = Left(Error(1,NonEmptyList(InRange(1, , ))))
p1.parse("t ")
// res1: Either[Error, Tuple2[String, Tuple2[Char, Unit]]] = Right((,(t,())))

/* productL, productR */

// The type is just Char because we dropping the space
// to drop the alphabet change the arrow side: alpha *> sp
val p2: Parser[Char] = alpha <* sp

// still error since we need the space even if we drop it
p2.parse("t")
// res2: Either[Error, Tuple2[String, Char]] = Left(Error(1,NonEmptyList(InRange(1, , ))))
p2.parse("t ")
// res3: Either[Error, Tuple2[String, Char]] = Right((,t))

/* surroundedBy */

val p4: Parser[Char] = sp *> alpha <* sp
val p5: Parser[Char] = alpha.surroundedBy(sp)

p4.parse(" a ")
// res0: Either[Error, Tuple2[String, Char]] = Right((,a))
p5.parse(" a ")
// res1: Either[Error, Tuple2[String, Char]] = Right((,a))

/* between */

val p6: Parser[Char] = sp *> alpha <* digit
val p7: Parser[Char] = alpha.between(sp, digit)

p6.parse(" a1")
// res2: Either[Error, Tuple2[String, Char]] = Right((,a))
p7.parse(" a1")
// res3: Either[Error, Tuple2[String, Char]] = Right((,a))

/* OrElse */

val p3: Parser[AnyVal] = alpha | sp

p3.parse("t")
// res4: Either[Error, Tuple2[String, AnyVal]] = Right((,t))
p3.parse(" ")
// res5: Either[Error, Tuple2[String, AnyVal]] = Right((,()))

Repeating parsers

Sometimes we need something to repeat zero or more types. The cats-parse have rep and rep0 methods for repeating values. rep means that the parser must be successful at least one time. rep0 means that the parser output might be empty.

import cats.data.NonEmptyList
import cats.parse.Rfc5234.alpha
import cats.parse.{Parser, Parser0}

val p1: Parser[NonEmptyList[Char]]  = alpha.rep
val p2: Parser0[List[Char]] = alpha.rep0

p1.parse("")
// Left(Error(0,NonEmptyList(InRange(0,A,Z), InRange(0,a,z))))
p2.parse("")
// Right((,List()))
p2.parse("something")
// Right((,List(s, o, m, e, t, h, i, n, g)))

Notice the types of parsers. Parser type always means some non-empty output and the output of Parser0 might be empty.

One common task in this example is to parse a full line (or words) of text. In the example it is done by rep, and then it could be mapped to String in different ways:

import cats.data.NonEmptyList
import cats.parse.Rfc5234.alpha
import cats.parse.Parser

val p: Parser[String]  = alpha.rep.map((l: NonEmptyList[Char]) => l.toList.mkString)

val p2: Parser[String] = alpha.rep.string
val p3: Parser[String] = alpha.repAs[String]

All three parsers will be identical in parsing results, but p2 and p3 are using built-in methods which will not create intermediate list. rep + map creates intermediate list which is mapped to string in this example.

Parsers with empty output

Some parsers never return a value. They have a type Parser0. One might get this type of parser when using rep0 or .? methods.

import cats.parse.Rfc5234.{alpha, sp}
import cats.parse.Parser

val p: Parser[String] = (alpha.rep <* sp.?).rep.string

p.parse("hello world")
// res0 = Right((,hello world))

Notice the type we got - Parser[String]. That is because we have rep outside and our alpha.rep parser with Parser type is on the left side of the clause. But what if we want to parse strings with spaces at the beginning?

val p = (sp.? *> alpha.rep <* sp.?).rep.string

We will get an error value rep is not a member of cats.parse.Parser0. This happens since we have the left-side parser as optional in sp.? *> alpha.rep <* sp.? clause. This clause has a type Parser0 which can't be repeated.

But this parser can't be empty because of alpha.rep parser, and we know it. For these types of parsers we need to use with1 wrapper method on the left side of the clause:

import cats.parse.Rfc5234.{alpha, sp}
import cats.parse.Parser


val p: Parser[String] = (sp.?.with1 *> alpha.rep <* sp.?).rep.string

p.parse("hello world")
// res0: Either[Error, Tuple2[String, String]] = Right((,hello world))
p.parse(" hello world")
// res1: Either[Error, Tuple2[String, String]] = Right((,hello world))

If we have multiple Parser0 parsers before the Parser - we'd need to use parenthesis like this: (sp.? ~ sp.?).with1 *> alpha.rep.

Error handling

Parser might be interrupted by parsing error. There are two kinds of errors:

  • an error that has consumed 0 characters (epsilon failure);
  • an error that has consumed 1 or more characters (arresting failure) (sometimes called halting failure).
import cats.parse.Rfc5234.{alpha, sp}
import cats.parse.Parser

val p1: Parser[Char] = alpha
val p2: Parser[Char] = sp *> alpha

// epsilon failure
p1.parse("123")
// res0: Either[Error, Tuple2[String, Char]] = Left(Error(0,NonEmptyList(InRange(0,A,Z), InRange(0,a,z))))

// arresting failure
p2.parse(" 1")
// res1: Either[Error, Tuple2[String, Char]] = Left(Error(1,NonEmptyList(InRange(1,A,Z), InRange(1,a,z))))

We need to make this difference because the first type of error allows us to say that parser is not matching the input before we started to process it and the second error happens while parser processing the input.

Backtrack

Backtrack allows us to convert an arresting failure to epsilon failure. It also rewinds the input to the offset to that used before parsing began. The resulting parser might still be combined with others. Let's look at the example:

import cats.parse.Rfc5234.{digit, sp}

val p = sp *> digit <* sp

p.parse(" 1")
// res1 = Left(Error(2,NonEmptyList(InRange(2, , ))))

Parser.Error contains two parameters:

final case class Error(input: String, failedAtOffset: Int, expected: NonEmptyList[Expectation])

case class InRange(offset: Int, lower: Char, upper: Char) extends Expectation

In the error message we see the failed offset and the expected value. There is a lot of expected error types which can be found in source code.

One thing we can do in this situation is providing a fallback parser which can be used in case of error. We can do this by using backtrack (which rewinds the input, so it will be passed to fallback parser as it was before the error) and combining it with orElse operator:

import cats.parse.Rfc5234.{digit, sp}

val p1 = sp *> digit <* sp
val p2 = sp *> digit

p1.backtrack.orElse(p2).parse(" 1")
// res0: Either[Error, Tuple2[String, Char]] = Right((,1))
(p1.backtrack | p2 ).parse(" 1")
// res1: Either[Error, Tuple2[String, Char]] = Right((,1))

Notice that (p1.backtrack | p2) clause is another parser by itself since we're still combining parsers by using orElse.

But we've already used orElse in example before without any backtrack operator, and it worked just fine. Why do we need backtrack now? Let's look at this example:

import cats.parse.Rfc5234.{digit, sp}

val p1 = sp *> digit <* sp
val p2 = sp *> digit
val p3 = digit

(p1 | p2).parse(" 1")
// res1 = Left(Error(2,NonEmptyList(InRange(2, , ))))

(p1 | p2 | p3).parse("1")
// res2 = Right((,1))

The first parser combination is interrupted by arresting failures and the second parsing combination will only suffer from epsilon failures. The second parser works because orElse and | operators actually allows recovering from epsilon failures, but not from arresting failures.

So the backtrack helps us where the left side returns arresting failure.

Soft

This method might look similar to backtrack, but it allows us to proceed the parsing when the right side is returning an epsilon failure. It is really useful for ambiguous parsers when we can't really tell what exactly we are parsing before the end. Let's say we want to parse some input to the search engine which contains fields. This might look like "field:search_query". Let's try to write a parser for this:

import cats.parse.Rfc5234.{alpha, sp}
import cats.parse.Parser
import cats.parse.Parser.{char => pchar}

val searchWord = alpha.rep.string

val fieldValue = alpha.rep.string ~ pchar(':')

val p1 = fieldValue.? ~ (searchWord ~ sp.?).rep.string


p1.parse("title:The Wind Has Risen")
// res0 = Right((,(Some((title,())),The Wind Has Risen)))
p1.parse("The Wind Has Risen")
// res1 = Left(Error(3,NonEmptyList(InRange(3,:,:))))

This error happens because we can't really tell if we are parsing the fieldValue before we met a : char. We might do this with by writing two parsers, converting the first one's failure to epsilon failure by backtrack and then providing fallback parser by | operator (which allows the epsilon failures):

val p2 = fieldValue.? ~ (searchWord ~ sp.?).rep.string

val p3 = (searchWord ~ sp.?).rep.string

(p2.backtrack | p3).parse("title:The Wind Has Risen")
// res0 = Right((,(Some((title,())),The Wind Has Risen)))
(p2.backtrack | p3).parse("The Wind Has Risen")
// res1 = Right((,The Wind Has Risen))

But this problem might be resolved with soft method inside the first parser since the right side of it actually returns an epsilon failure itself:

val fieldValueSoft = alpha.rep.string.soft ~ pchar(':')

val p4 = fieldValueSoft.? ~ (searchWord ~ sp.?).rep.string

p4.parse("title:The Wind Has Risen")
// res2 = Right((,(Some((title,())),The Wind Has Risen)))
p4.parse("The Wind Has Risen")
// res3 = Right((,(None,The Wind Has Risen)))

So when the right side returns an epsilon failure the soft method allows us to rewind parsed input and try to proceed it's parsing with next parsers (without changing the parser itself!).

JSON parser example

Below is most of a json parser (the string unescaping is elided). This example can give you a feel for what it is like to use this library.

import cats.parse.strings.Json.delimited.{parser => jsonString}
import cats.parse.{Parser0, Parser => P, Numbers}
import org.typelevel.jawn.ast._

object Json {
  private[this] val whitespace: P[Unit] = P.charIn(" \t\r\n").void
  private[this] val whitespaces0: Parser0[Unit] = whitespace.rep0.void

  val parser: P[JValue] = P.recursive[JValue] { recurse =>
    val pnull = P.string("null").as(JNull)
    val bool = P.string("true").as(JBool.True).orElse(P.string("false").as(JBool.False))
    val str = jsonString.map(JString(_))
    val num = Numbers.jsonNumber.map(JNum(_))

    val listSep: P[Unit] =
      P.char(',').soft.surroundedBy(whitespaces0).void

    def rep[A](pa: P[A]): Parser0[List[A]] =
      pa.repSep0(listSep).surroundedBy(whitespaces0)

    val list = rep(recurse).with1
      .between(P.char('['), P.char(']'))
      .map { vs => JArray.fromSeq(vs) }

    val kv: P[(String, JValue)] =
      jsonString ~ (P.char(':').surroundedBy(whitespaces0) *> recurse)

    val obj = rep(kv).with1
      .between(P.char('{'), P.char('}'))
      .map { vs => JObject.fromSeq(vs) }

    P.oneOf(str :: num :: list :: obj :: bool :: pnull :: Nil)
  }

  // any whitespace followed by json followed by whitespace followed by end
  val parserFile: P[JValue] = whitespaces0.with1 *> parser <* (whitespaces0 ~ P.end)
}

Performance

We have a benchmark suite that compares JSON parsing across several commonly used libraries. A recent (2021/11/05) result is below:

[info] Benchmark                         Mode  Cnt    Score    Error  Units
[info] BarBench.catsParseParse           avgt    4   โ‰ˆ 10โปโด           ms/op
[info] BarBench.fastparseParse           avgt    4   โ‰ˆ 10โปโด           ms/op
[info] BarBench.jawnParse                avgt    4   โ‰ˆ 10โปโด           ms/op
[info] BarBench.parboiled2Parse          avgt    4   โ‰ˆ 10โปโด           ms/op
[info] BarBench.parsleyParseCold         avgt    4    0.064 ยฑ  0.001  ms/op
[info] Bla25Bench.catsParseParse         avgt    4   23.095 ยฑ  0.174  ms/op
[info] Bla25Bench.fastparseParse         avgt    4   15.622 ยฑ  0.414  ms/op
[info] Bla25Bench.jawnParse              avgt    4    7.501 ยฑ  0.143  ms/op
[info] Bla25Bench.parboiled2Parse        avgt    4   18.423 ยฑ  6.094  ms/op
[info] Bla25Bench.parsleyParseCold       avgt    4   30.752 ยฑ  0.279  ms/op
[info] CountriesBench.catsParseParse     avgt    4    7.169 ยฑ  0.041  ms/op
[info] CountriesBench.fastparseParse     avgt    4    5.023 ยฑ  0.023  ms/op
[info] CountriesBench.jawnParse          avgt    4    1.235 ยฑ  0.011  ms/op
[info] CountriesBench.parboiled2Parse    avgt    4    2.936 ยฑ  0.008  ms/op
[info] CountriesBench.parsleyParseCold   avgt    4   11.800 ยฑ  0.162  ms/op
[info] Qux2Bench.catsParseParse          avgt    4    7.031 ยฑ  0.599  ms/op
[info] Qux2Bench.fastparseParse          avgt    4    6.597 ยฑ  0.031  ms/op
[info] Qux2Bench.jawnParse               avgt    4    2.227 ยฑ  0.014  ms/op
[info] Qux2Bench.parboiled2Parse         avgt    4    5.514 ยฑ  0.472  ms/op
[info] Qux2Bench.parsleyParseCold        avgt    4   10.327 ยฑ  0.293  ms/op
[info] StringInBenchmarks.oneOfParse     avgt    4   88.105 ยฑ  2.658  ns/op
[info] StringInBenchmarks.stringInParse  avgt    4  129.246 ยฑ  1.820  ns/op
[info] Ugh10kBench.catsParseParse        avgt    4   53.679 ยฑ  1.385  ms/op
[info] Ugh10kBench.fastparseParse        avgt    4   45.165 ยฑ  0.356  ms/op
[info] Ugh10kBench.jawnParse             avgt    4   11.404 ยฑ  0.068  ms/op
[info] Ugh10kBench.parboiled2Parse       avgt    4   31.984 ยฑ  0.748  ms/op
[info] Ugh10kBench.parsleyParseCold      avgt    4   77.150 ยฑ  1.093  ms/op

Note that parboiled and fastparse both use macros that make them very difficult to port to Dotty. Jawn is a specialized and optimized JSON parser, so that can be considered an upper bound on performance. Keep in mind that parser performance depends both on the parsing library but also how the parser is written, but these results suggest that this library is already quite competitive.

Migrating from Fastparse

You should find all the Fastparse methods you are used to. If not, feel free to open an issue. There are a few things to keep in mind:

  1. In fastparse, you wrap a parser in P(...) to make the interior lazy. Following cats, to get a lazily constructed parser use Parser.defer or cats.Defer[Parser].defer.
  2. In fastparse the ~ operator does tuple concatenation. This can be nice, but also complex to see what the resulting type is. In cats-parse, ~ always returns a Tuple2 containing the parsed values from the left and right. To recover fastparse-like behavior, use cats syntax (pa, pb, pc...).tupled.
  3. In fastparse, backtracking is opt-out by using cuts. In cats-parse, backtracking is opt-in using .backtrack. Put another way, normal product operations in cats-parse are like ~/ in fastparse.
  4. In cats-parse, using *>, <*, and .void methods can be a significant optimization: if you don't need a result, communicate that to the library with those methods.

Getting and Giving Help

We welcome new contributors and new maintainers. Please feel free to open issues and PRs. If you have any problem using the library, an issue is the best way to ask a question until we flush out more documentation.

More Repositories

1

cats

Lightweight, modular, and extensible library for functional programming.
Scala
5,182
star
2

fs2

Compositional, streaming I/O library for Scala
Scala
2,359
star
3

doobie

Functional JDBC layer for Scala.
Scala
2,161
star
4

scalacheck

Property-based testing for Scala
Scala
1,908
star
5

cats-effect

The pure asynchronous runtime for Scala
Scala
1,817
star
6

spire

Powerful new number types and numeric abstractions for Scala.
Scala
1,761
star
7

skunk

A data access library for Scala + Postgres.
Scala
1,579
star
8

simulacrum

First class syntax support for type classes in Scala
Scala
937
star
9

squants

The Scala API for Quantities, Units of Measure and Dimensional Analysis
Scala
922
star
10

kind-projector

Compiler plugin for making type lambdas (type projections) easier to write
Scala
915
star
11

frameless

Expressive types for Spark.
Scala
879
star
12

cats-collections

Data structures for pure functional programming in Scala
Scala
557
star
13

kittens

Automatic type class derivation for Cats
Scala
531
star
14

jawn

Jawn is for parsing jay-sawn (JSON)
Scala
431
star
15

log4cats

Logging Tools For Interaction with cats-effect
Scala
400
star
16

Laika

Site and E-book Generator and Customizable Text Markup Transformer for sbt, Scala and Scala.js
Scala
387
star
17

algebra

Experimental project to lay out basic algebra type classes
Scala
378
star
18

mouse

A small companion to cats
Scala
365
star
19

sbt-tpolecat

scalac options for the enlightened
Scala
328
star
20

discipline

Flexible law checking for Scala
Scala
328
star
21

natchez

functional tracing for cats
Scala
324
star
22

cats-tagless

Library of utilities for tagless final encoded algebras
Scala
314
star
23

cats-mtl

cats transformer type classes.
Scala
308
star
24

CT_from_Programmers.scala

Scala sample code for Bartosz Milewski's CT for Programmers
Scala
279
star
25

fs2-grpc

gRPC implementation for FS2/cats-effect
Scala
270
star
26

machinist

Spire's macros for zero-cost operator enrichment
Scala
191
star
27

cats-effect-testing

Integration between cats-effect and test frameworks
Scala
191
star
28

shapeless-3

Generic programming for Scala
Scala
185
star
29

paiges

an implementation of Wadler's a prettier printer
Scala
183
star
30

grackle

Grackle: Functional GraphQL for the Typelevel stack
Scala
176
star
31

sbt-typelevel

Let sbt work for you.
Scala
170
star
32

munit-cats-effect

Integration library for MUnit & cats-effect
Scala
149
star
33

feral

Feral cats are homeless, feral functions are serverless
Scala
144
star
34

catbird

Birds and cats together
Scala
139
star
35

otel4s

An OpenTelemetry library for Scala based on Cats-Effect
Scala
138
star
36

fs2-chat

Sample project demonstrating use of fs2-io to build a chat client and server
Scala
123
star
37

spotted-leopards

Proof of concept for a cats-like library built using Dotty features
Scala
112
star
38

fabric

Object-Notation Abstraction for JSON, binary, HOCON, etc.
Scala
110
star
39

literally

Compile time validation of literal values built from strings
Scala
106
star
40

toolkit

Quickstart your next app with the Typelevel Toolkit!
Scala
94
star
41

cats-time

Cats Instances for Java Time
Scala
91
star
42

typelevel-nix

Development tools for Typelevel projects
Nix
87
star
43

cats-effect-cps

An incubator project for async/await syntax support for Cats Effect
Scala
81
star
44

vault

Type-safe, persistent storage for values of arbitrary types
Scala
81
star
45

shapeless-contrib

Interoperability libraries for Shapeless
Scala
79
star
46

scalacheck-effect

Effectful property testing built on ScalaCheck
Scala
76
star
47

coop

Cooperative multithreading as a pure monad transformer
Scala
68
star
48

claimant

Library to support automatic labeling of ScalaCheck properties.
Scala
68
star
49

typeclassic

Everything you need to make type classes first class.
Scala
61
star
50

scalaz-contrib

Interoperability libraries & additional data structures and instances for Scalaz
Scala
55
star
51

twiddles

Micro-library for building effectful protocols
Scala
55
star
52

monoids

Generic Monoids for Scala
Scala
51
star
53

fs2-netty

What it says on the tin!
Scala
47
star
54

sbt-catalysts

sbt utilities for open source projects
Scala
45
star
55

natchez-http4s

Glorious integration layer for Natchez and Http4s.
Scala
44
star
56

typelevel.github.com

Web site of typelevel.scala
HTML
40
star
57

jawn-fs2

Integration between jawn and fs2
Scala
38
star
58

keypool

A Keyed Pool Implementation for Scala
Scala
34
star
59

scalaz-specs2

Specs2 bindings for Scalaz
Scala
34
star
60

catalysts

Scala
34
star
61

simulacrum-scalafix

Simulacrum as Scalafix rules
Scala
34
star
62

case-insensitive

A case-insensitive string for Scala
Scala
34
star
63

scalaz-outlaws

outcasts no longer allowed in the ivory tower
Scala
28
star
64

bobcats

Typelevel's very own CryptoKitties!
Scala
28
star
65

scalac-options

A library for configuring scalac options
Scala
27
star
66

weaver-test

A test framework that runs everything in parallel.
Scala
27
star
67

ce3.g8

Scala
24
star
68

scalaz-scalatest

Scalatest bindings for scalaz.
Scala
23
star
69

general

Repository for general Typelevel information, activity and issues
19
star
70

discipline-munit

MUnit binding for Typelevel Discipline
Scala
18
star
71

cats-testkit-scalatest

Cats Testkit for Scalatest
Scala
18
star
72

unique

Unique Functional Values for Scala
Scala
17
star
73

discipline-scalatest

ScalaTest binding for Discipline
Scala
17
star
74

typelevel-scalafix

Scalafix rules for Typelevel projects
Scala
17
star
75

semigroups

Scala
16
star
76

cats-effect-shell

Command line debugging console for Cats Effect
Scala
15
star
77

jdk-index

A Jabba compatible index of JDK versions
Scala
14
star
78

cats-uri

URI implementation based on cats-parse with cats instances
Scala
14
star
79

typelevel.g8

A typelevel.g8 based on sbt-typelevel
Scala
14
star
80

catapult

Scala
13
star
81

discipline-specs2

Specs2 Integration for Discipline
Scala
9
star
82

governance

Typelevel governance
Scala
7
star
83

catz-cradle

Testbed for scala libraries and tools, based on examples from cats docs
Scala
7
star
84

spire-contrib

Interoperability libraries for spire
Shell
7
star
85

idna4s

Cross-platform Scala implementation of Internationalized Domain Names in Applications
Scala
7
star
86

scalac-compat

Lightweight tools for tackling Scalac version incompatibilities
Scala
6
star
87

steward

Runs Scala Steward for Typelevel projects
5
star
88

cats-effect-main

3
star
89

sacagawea

Common infrastructure for tracing functional effects
Scala
3
star
90

scalacheck-xml

Scalacheck instances for scala-xml
Scala
3
star
91

sorcery

WIP
2
star
92

scalacheck-web

ScalaCheck Web Site
Nix
2
star
93

sbt-catalysts.g8

Scala
2
star
94

feral.g8

Giter8 template for feral serverless
Scala
2
star
95

download-java

2
star
96

toolkit.g8

A Giter8 template for Typelevel Toolkit!
Scala
2
star
97

sbt-tls-crossproject

sbt-crossproject plugin for Typelevel Scala
Scala
1
star
98

await-cirrus

Depend on Cirrus CI from a GitHub Actions workflow
JavaScript
1
star
99

catalysts-docker

Shell
1
star
100

.github

a โœจspecial โœจ repository for project defaults and organization readme
1
star