There are three widely used ways to install the Haskell toolchain on supported platforms. These are:
- Minimal installers: Just GHC (the compiler), and build tools (primarily Cabal and Stack) are installed globally on your system, using your system’s package manager.
- Stack: Installs the
stack
command globally: a project-centric build tool to automatically download and manage Haskell dependencies on a project-by-project basis. - Haskell Platform: Installs GHC, Cabal, and some other tools, along with a starter set of libraries in a global location on your system.
CABAL Mobile is a app which assists CABAL users to view their character & Agentshop information. Details which may be views via CABAL Mobile is as below. 1) Character - All characters within the the connected ID may be viewed. The selected character's Level and stats, Alz amount may be viewed. CABAL Online NEW UPDATE. Update Review LEARN MORE.
These options make different choices as to what is installed globally on your system and what is maintained in project-specific environments. Global installations allow more sharing across users and projects, but at the cost of potential conflicts between projects. To avoid these conflicts, each option has a lightweight sandboxing feature that creates largely self-contained, per-project environments. With Minimal you can optionally sandbox the libraries, avoiding most conflicts. Stack sandboxes the compiler, tools and libraries, so avoids nearly all kinds of conflicts between projects. With Platform you can also optionally sandbox libraries, but not the globally installed platform libraries.
Haskell IDEs & other distributions
In addition to the generic, cross-platform Haskell toolchain described above, there are also easy-to-use, platform-specific distributions and IDEs. The Haskell Wiki contains a list of the most popular ones.
Minimal installers
What they are
Minimal installers provide centrally the GHC compiler and the Cabal and Stack tools for installing packages. Some may install further build tools (i.e. for parsing and lexing) as well.
What you get
- Only the core libraries necessary for each platform are included.
- Cabal or Stack must be used to download and install packages after installation.
How to get them
- OS X (via the core platform)
- Windows (via the core platform)
Where to get help
- For help learning Haskell itself, start with the Documentation page on the Haskell Wiki.
- If you need help with GHC—the Haskell compiler—there is a comprehensive GHC User Manual.
- For help using Cabal to download or create additional packages (see below), there is the Cabal User Guide.
- For help using Stack to download or create packages, see the stack documentation below.
- Finally, you can ask questions of other Haskell users and experts on the #haskell IRC channel on the Freenode IRC network.
Stack
What it is
Stack is a cross-platform build tool for Haskell that handles management of the toolchain (including the GHC compiler and MSYS2 on Windows), building and registering libraries, and more.
What you get
- Once downloaded, it has the capacity to download and install GHC and other core tools.
- Project development is isolated within sandboxes, including automatic download of the right version of GHC for a given project.
- It manages all Haskell-related dependencies, ensuring reproducible builds.
- It fetches from a curated repository of over a thousand packages by default, known to be mutually compatible.
- It can optionally use Docker to produce standalone deployments.
How to get it
The install and upgrade page describes how to download Stack on various platforms, although the main three are repeated here:
Instructions for other Linux distributions, including Debian, Fedora, Red Hat, Nix OS, and Arch Linux, are also available.
Where to get help
For help with Haskell and GHC in general, see the links mentioned above. For Stack itself there are also the following resources:
- The README offers a general overview, and help with installation.
- There is an in-depth guide to using Stack.
- Getting started with Stack introduces how to build new projects using Stack.
- You may post issues and feature requests on its GitHub issue tracker.
- There is a mailing list for Stack
- There is a dedicated #haskell-stack IRC channel on the Freenode IRC network.
- The StackOverflow haskell-stack tag has many stack-specific questions and answers.
Haskell Platform
What it is
The Haskell Platform is a self-contained, all-in-one installer. After download, you will have everything necessary to build Haskell programs against a core set of useful libraries. It comes in both core versions with tools but no libraries outside of GHC core, or full versions, which include a broader set of globally installed libraries.
What you get
- The Glasgow Haskell Compiler
- The Cabal build system, which can install new packages, and by default fetches from Hackage, the central Haskell package repository.
- the Stack tool for developing projects
- Support for profiling and code coverage analysis
- 35 core & widely-used packages
How to get it
The Platform is provided as a single installer, and can be downloaded at the links below.
Where to get help
- You can find a comprehensive list of what the Platform offers.
- See the general help mentioned above, which covers the usage of GHC, as well as the Cabal and Stack tools.
Additional Libraries
In Haskell, packages are configured and built with the Cabal package system built into GHC (and other compilers). For more specific details, see The Cabal User Guide. The command line tools to download and install packages are either
cabal
or stack
, each having different workflows. For details on their usage, see the documentation above.Hackage
Hackage is a repository of packages to which anyone can freely upload at any time. The packages are available immediately and documentation will be generated and hosted there. It can be used by cabal install.
You can install a package using cabal by running:
Note that if you are not in a sandbox, this will install the package globally, which is often not what you want, so it is recommended to set up sandboxes in your project directory by running
cabal sandbox init
.LTS Haskell
LTS Haskell is a stackage-based long-term support set of packages which build and pass tests together, with backported bug fixes.
Stackage Nightly
Stackage is a nightly generated stable repository of snapshots of package sets in which only packages which build and pass tests together are bundled together into a snapshot.
From source control repositories
Installing from a source repository is also possible. For example, to clone and install the network package from source, you would run:
Or:
- Compiling from source
The simplest way to get the latest pandoc release is to use the installer.
For alternative ways to install pandoc, see below under the heading for your operating system.
Windows
Photoshop cs6 download for free. There is a package installer at pandoc’s download page. This will install pandoc, replacing older versions, and update your path to include the directory where pandoc’s binaries are installed.
If you prefer not to use the msi installer, we also provide a zip file that contains pandoc’s binaries and documentation. Simply unzip this file and move the binaries to a directory of your choice.
Alternatively, you can install pandoc using Chocolatey:
Cabal Download Mac Emulator
Chocolatey can also install other software that integrates with Pandoc. For example, to install
rsvg-convert
(from librsvg, covering formats without SVG support), Python (to use Pandoc filters), and MiKTeX (to typeset PDFs with LaTeX):By default, Pandoc creates PDFs using LaTeX. We recommend installing it via MiKTeX.
macOS
There is a package installer at pandoc’s download page. If you later want to uninstall the package, you can do so by downloading this script and running it with
perl uninstall-pandoc.pl
.Alternatively, you can install pandoc using Homebrew:
To include pandoc’s citation parser:
Homebrew can also install other software that integrates with Pandoc. For example, to install librsvg (its
rsvg-convert
covers formats without SVG support), Python (to use Pandoc filters), and BasicTeX (to typeset PDFs with LaTeX):Note: On unsupported versions of macOS (more than three releases old), Homebrew installs from source, which takes additional time and disk space for the
ghc
compiler and dependent Haskell libraries.We also provide a zip file containing the binaries and man pages, for those who prefer not to use the installer. Simply unzip the file and move the binaries and man pages to whatever directory you like.
By default, Pandoc creates PDFs using LaTeX. Because a full MacTeX installation uses four gigabytes of disk space, we recommend BasicTeX or TinyTeX and using the
tlmgr
tool to install additional packages as needed. If you receive errors warning of fonts not found:Linux
Check whether the pandoc version in your package manager is not outdated. Pandoc is in the Debian, Ubuntu, Slackware, Arch, Fedora, NiXOS, openSUSE, gentoo and Void repositories.
To get the latest release, we provide a binary package for amd64 architecture on the download page.
This provides both
pandoc
and pandoc-citeproc
. The executables are statically linked and have no dynamic dependencies or dependencies on external data files. Note: because of the static linking, the pandoc binary from this package cannot use lua filters that require external lua modules written in C.![Download Download](/uploads/1/2/5/7/125739690/627916762.jpg)
Both a tarball and a deb installer are provided. To install the deb:
where
$DEB
is the path to the downloaded deb. This will install the pandoc
and pandoc-citeproc
executables and man pages.Cabal Online Mac Download
If you use an RPM-based distro, you may be able to install the deb from our download page using
alien
.On any distro, you may install from the tarball into
$DEST
(say, /usr/local/
or $HOME/.local
) by doingwhere
$TGZ
is the path to the downloaded zipped tarball. For Pandoc versions before 2.0, which don’t provide a tarball, try insteadYou can also install from source, using the instructions below under Compiling from source. Note that most distros have the Haskell platform in their package repositories. For example, on Debian/Ubuntu, you can install it with
apt-get install haskell-platform
.For PDF output, you’ll need LaTeX. We recommend installing TeX Live via your package manager. (On Debian/Ubuntu,
apt-get install texlive
.)Chrome OS
On Chrome OS, pandoc can be installed using the chromebrew package manager with the command:
This will automatically build and configure pandoc for the specific device you are using.
BSD
Pandoc is in the NetBSD and FreeBSD ports repositories.
Docker
The official Docker images for pandoc can be found at https://github.com/pandoc/dockerfiles and at dockerhub.
The pandoc/core image contains
pandoc
and pandoc-citeproc
.The pandoc/latex image also contains the minimal LaTeX installation needed to produce PDFs using pandoc.
To run pandoc using Docker, converting
README.md
to README.pdf
:GitHub Actions
Pandoc can be run through GitHub Actions. For some examples, see https://github.com/pandoc/pandoc-action-example.
Compiling from source
If for some reason a binary package is not available for your platform, or if you want to hack on pandoc or use a non-released version, you can install from source.
Getting the pandoc source code
Source tarballs can be found at https://hackage.haskell.org/package/pandoc. For example, to fetch the source for version 1.17.0.3:
Or you can fetch the development code by cloning the repository:
Note: there may be times when the development code is broken or depends on other libraries which must be installed separately. Unless you really know what you’re doing, install the last released version.
Quick stack method
The easiest way to build pandoc from source is to use stack:
- Install stack. Note that Pandoc requires stack >= 1.7.0.
- Change to the pandoc source directory and issue the following commands:
stack setup
will automatically download the ghc compiler if you don’t have it.stack install
will install thepandoc
executable into~/.local/bin
, which you should add to yourPATH
. This process will take a while, and will consume a considerable amount of disk space.
Quick cabal method
- Install the Haskell platform. This will give you GHC and the cabal-install build tool. Note that pandoc requires GHC >= 7.10 and cabal >= 2.0.
- Update your package database:
- Check your cabal version withIf you have a version less than 2.0, install the latest with:
- Use
cabal
to install pandoc and its dependencies:This procedure will install the released version of pandoc, which will be downloaded automatically from HackageDB.If you want to install a modified or development version of pandoc instead, switch to the source directory and do as above, but without the ‘pandoc’: - Make sure the
$CABALDIR/bin
directory is in your path. You should now be able to runpandoc
: - If you want to process citations with pandoc, you will also need to install a separate package,
pandoc-citeproc
. This can be installed using cabal:By defaultpandoc-citeproc
uses the “i;unicode-casemap” method to sort bibliography entries (RFC 5051). If you would like to use the locale-sensitive unicode collation algorithm instead, specify theunicode_collation
flag:Note that this requires thetext-icu
library, which in turn depends on the C libraryicu4c
. Installation directions vary by platform. Here is how it might work on macOS with Homebrew: - The
pandoc.1
man page will be installed automatically. cabal shows you where it is installed: you may need to set yourMANPATH
accordingly. IfMANUAL.txt
has been modified, the man page can be rebuilt:make man/pandoc.1
.Thepandoc-citeproc.1
man page will also be installed automatically.
Custom cabal method
This is a step-by-step procedure that offers maximal control over the build and installation. Most users should use the quick install, but this information may be of use to packagers. For more details, see the Cabal User’s Guide. These instructions assume that the pandoc source directory is your working directory. You will need cabal version 2.0 or higher.
- Install dependencies: in addition to the Haskell platform, you will need a number of additional libraries. You can install them all with
- Configure:All of the options have sensible defaults that can be overridden as needed.
FLAGSPEC
is a list of Cabal configuration flags, optionally preceded by a-
(to force the flag tofalse
), and separated by spaces. Pandoc’s flags include:embed_data_files
: embed all data files into the binary (default no). This is helpful if you want to create a relocatable binary.https
: enable support for downloading resources over https (using thehttp-client
andhttp-client-tls
libraries).
- Build:
- Build API documentation:
- Copy the files:The default destdir is
/
. - Register pandoc as a GHC package:Package managers may want to use the
--gen-script
option to generate a script that can be run to register the package at install time.
Creating a relocatable binary
It is possible to compile pandoc such that the data files pandoc uses are embedded in the binary. The resulting binary can be run from any directory and is completely self-contained. With cabal, add
-fembed_data_files
to the cabal configure
or cabal install
commands.With stack, use
--flag pandoc:embed_data_files
.![Cabal Download Mac Cabal Download Mac](/uploads/1/2/5/7/125739690/736634253.png)
Running tests
Pandoc comes with an automated test suite. To run with cabal,
cabal test
; to run with stack, stack test
.Cabal Macro Download
To run particular tests (pattern-matching on their names), use the
-p
option:Or with stack:
It is often helpful to add
-j4
(run tests in parallel) and --hide-successes
(don’t clutter output with successes) to the test arguments as well.Cabal Download Mac
If you add a new feature to pandoc, please add tests as well, following the pattern of the existing tests. The test suite code is in
test/test-pandoc.hs
. If you are adding a new reader or writer, it is probably easiest to add some data files to the test
directory, and modify test/Tests/Old.hs
. Otherwise, it is better to modify the module under the test/Tests
hierarchy corresponding to the pandoc module you are changing.Running benchmarks
To build and run the benchmarks:
or with stack:
To use a smaller sample size so the benchmarks run faster:
To run just the markdown benchmarks: