capability alternatives and similar packages
Based on the "Control" category.
Alternatively, view capability alternatives based on common mentions on social networks and blogs.
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transient
A full stack, reactive architecture for general purpose programming. Algebraic and monadically composable primitives for concurrency, parallelism, event handling, transactions, multithreading, Web, and distributed computing with complete de-inversion of control (No callbacks, no blocking, pure state) -
selective
Selective Applicative Functors: Declare Your Effects Statically, Select Which to Execute Dynamically -
ComonadSheet
A library for expressing "spreadsheet-like" computations with absolute and relative references, using fixed-points of n-dimensional comonads. -
auto
Haskell DSL and platform providing denotational, compositional api for discrete-step, locally stateful, interactive programs, games & automations. http://hackage.haskell.org/package/auto -
transient-universe
A Cloud monad based on transient for the creation of Web and reactive distributed applications that are fully composable, where Web browsers are first class nodes in the cloud -
monad-validate
DISCONTINUED. (NOTE: REPOSITORY MOVED TO NEW OWNER: https://github.com/lexi-lambda/monad-validate) A Haskell monad transformer library for data validation -
distributed-process-platform
DEPRECATED (Cloud Haskell Platform) in favor of distributed-process-extras, distributed-process-async, distributed-process-client-server, distributed-process-registry, distributed-process-supervisor, distributed-process-task and distributed-process-execution -
effect-monad
Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects. -
ixmonad
Provides 'graded monads' and 'parameterised monads' to Haskell, enabling fine-grained reasoning about effects.
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README
capability: effects, extensionally
A capability is a type class that says explicitly which effects
a function is allowed to use. The mtl
works like this too.
But unlike the mtl
, this library decouples effects from their
implementation. What this means in practice:
- You can implement large sets of capabilities using the
efficient
ReaderT
pattern, rather than a slow monad transformer stack. - Capabilities compose well: e.g. it's easy to have multiple reader effects.
- You can use a writer effect without implementing it as a writer monad (which is known to leak space).
- You can reason about effects. For instance, if a monad provides a
reader effect at type
IORef A
, it also provides a state effect at typeA
For more on these, you may want to read the announcement blog post.
This library is an alternative to the mtl
. It defines a set
of standard, reusable capability type classes, such as the HasReader
and HasState
type classes, which provide the standard reader and
state effects, respectively.
Where mtl
instances only need to be defined once and for all,
capability-style programming has traditionally suffered from verbose
boilerplate: rote instance definitions for every new implementation of
the capability. Fortunately GHC 8.6 introduced
the DerivingVia
language extension. We use it to
remove the boilerplate, turning capability-style programming into an
appealing alternative to mtl
-style programming. The
generic-lens
library is used to access fields of
structure in the style of the ReaderT
pattern.
An additional benefit of separating capabilities from their
implementation is that they avoid a pitfall of the mtl
. In the
mtl
, two different MonadState
are disambiguated by their types,
which means that it is difficult to have two MonadState Int
in the
same monad stack. Capability type classes are parameterized by a name
(also known as a tag). This makes it possible to combine multiple
versions of the same capability. For example,
twoStates :: (HasState "a" Int m, HasState "b" Int m) => m ()
Here, the tags "a"
and "b"
refer to different state spaces.
In summary, compared to the mtl
:
- capabilities represent what effects a function can use, rather than how the monad is constructed;
- capabilities are named, rather than disambiguated by type;
- capabilites are discharged with deriving-via combinators
and
generic-lens
, rather than with instance resolution.
An example usage looks like this:
testParity :: (HasReader "foo" Int m, HasState "bar" Bool m) => m ()
testParity = do
num <- ask @"foo"
put @"bar" (even num)
data Ctx = Ctx { foo :: Int, bar :: IORef Bool }
deriving Generic
newtype M a = M { runM :: Ctx -> IO a }
deriving (Functor, Applicative, Monad) via ReaderT Ctx IO
-- Use DerivingVia to derive a HasReader instance.
deriving (HasReader "foo" Int) via
-- Pick the field foo from the Ctx record in the ReaderT environment.
Field "foo" "ctx" (MonadReader (ReaderT Ctx IO))
-- Use DerivingVia to derive a HasState instance.
deriving (HasState "bar" Bool) via
-- Convert a reader of IORef to a state capability.
ReaderIORef (Field "bar" "ctx" (MonadReader (ReaderT Ctx IO)))
example :: IO ()
example = do
rEven <- newIORef False
runM testParity (Ctx 2 rEven)
readIORef rEven >>= print
runM testParity (Ctx 3 rEven)
readIORef rEven >>= print
For more complex examples, see the Examples section and
the [examples
subtree](./examples).
API documentation can be found on Hackage.
Examples
An example is provided in [WordCount
](examples/WordCount.hs).
Execute the following commands to try it out:
$ nix-shell --pure --run "cabal configure --enable-tests"
$ nix-shell --pure --run "cabal repl examples"
ghci> :set -XOverloadedStrings
ghci> wordAndLetterCount "ab ba"
Letters
'a': 2
'b': 2
Words
"ab": 1
"ba": 1
To execute all examples and see if they produce the expected results run
$ nix-shell --pure --run "cabal test examples --show-details=streaming --test-option=--color"
Build instructions
Nix Shell
A development environment with all dependencies in scope is defined in
[shell.nix
](shell.nix).
Build
The build instructions assume that you have Nix installed. Execute the following command to build the library.
$ nix-shell --pure --run "cabal configure"
$ nix-shell --pure --run "cabal build"