All the instructions below work on Linux, macOS and Windows.
The recommended way to install LFortran is using Conda.
Install Conda for example by installing the
Miniconda installation by following instructions there for your platform.
Then create a new environment (you can choose any name, here we chose
conda create -n lf conda activate lf
Then install LFortran by:
conda install lfortran -c conda-forge
lf environment has the
lfortran compiler available, you can start the
interactive prompt by executing
lfortran, or see the command line options using
The Jupyter kernel is automatically installed by the above command, so after installing Jupyter itself:
conda install jupyter -c conda-forge
You can create a Fortran based Jupyter notebook by executing:
Build From a Source Tarball¶
This method is the recommended method if you just want to install LFortran, either yourself or in a package manager (Spack, Conda, Debian, etc.). The source tarball has all the generated files included and has minimal dependencies.
First we have to install dependencies, for example using Conda:
conda create -n lf python cmake llvmdev conda activate lf
Then download a tarball from https://lfortran.org/download/, e.g.:
wget https://lfortran.github.io/tarballs/dev/lfortran-0.9.0.tar.gz tar xzf lfortran-0.9.0.tar.gz cd lfortran-0.9.0
cmake -DWITH_LLVM=yes -DCMAKE_INSTALL_PREFIX=`pwd`/inst . make -j8 make install
This will install the
lfortran into the
Build From Git¶
We assume you have C++ compilers installed, as well as
In Ubuntu, you can also install
binutils-dev for stacktraces.
If you do not have Conda installed, you can do so on Linux (and similarly on other platforms):
wget --no-check-certificate https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh -O miniconda.sh bash miniconda.sh -b -p $HOME/conda_root export PATH="$HOME/conda_root/bin:$PATH"
Then prepare the environment:
conda create -n lf -c conda-forge llvmdev=11.0.1 bison=3.4 re2c python cmake make toml conda activate lf
Clone the LFortran git repository:
git clone https://github.com/lfortran/lfortran.git cd lfortran
Generate files that are needed for the build (this step depends on
Now the process is the same as installing from the source tarball. For example to build in Debug mode:
cmake -DCMAKE_BUILD_TYPE=Debug -DWITH_LLVM=yes -DCMAKE_INSTALL_PREFIX=`pwd`/inst . make -j8
Run an interactive prompt:
Build from Git on Windows with Visual Studio¶
Install Visual Studio (MSVC), for example the version 2022, you can download the Community version for free from: https://visualstudio.microsoft.com/downloads/.
Install miniforge using the Windows installer from https://github.com/conda-forge/miniforge.
Launch the Miniforge Prompt from the Desktop.
In the shell, initialize the MSVC compiler using:
call "C:\Program Files\Microsoft Visual Studio\2022\Community\Common7\Tools\VsDevCmd" -arch=x64
You can optionally test that MSVC works by:
cl /? link /?
Both commands must print help (several pages).
Now you can download and build LFortran:
git clone https://github.com/lfortran/lfortran.git cd lfortran conda env create -f environment_win.yml conda activate lf build0.bat build1.bat
If everything compiled, then you can use LFortran as follows:
inst\bin\lfortran examples/expr2.f90 a.out inst\bin\lfortran
And so on.
Note: LFortran currently uses the MSVC’s linker program (
link), which is only
available when the MSVC bat script above is ran. If you forget to activate it,
LFortran’s linking will fail.
Note: the miniforge shell seems to be running some version of
(although it is
cmd.exe), which has some unix-like filesystem mounted in
/usr and several commands available such as
this reason the Conda build
environment_win.yml contains everything needed,
Build from Git on Windows with WSL¶
In windows search „turn windows features on or off“.
Tick Windows subsystem for Linux.
Press OK and restart computer.
Go to Microsoft store and download Ubuntu 20.04, and launch it.
Run the following commands.
wget https://github.com/conda-forge/miniforge/releases/latest/download/Miniforge3-Linux-x86_64.sh -O miniconda.sh bash miniconda.sh -b -p $HOME/conda_root export PATH="$HOME/conda_root/bin:$PATH"
Now do the following to configure the path
sudo nano .bashrc
Then go to the bottom of the file and paste the following
Then press ctrl + O (save), Enter (confirm), ctrl + X (exit)
After that restart Ubuntu
Run the following
conda create -n lf -c conda-forge llvmdev=11.0.1 bison=3.4 re2c python cmake make toml conda init bash
Restart Ubuntu again
conda activate lf sudo apt update sudo apt-get install build-essential sudo apt-get install zlib1g-dev sudo apt install clang
You can change the directory to a Windows location using
cd /mnt/[drive letter]/[windows location].
Now clone the LFortran git repository
git clone https://github.com/lfortran/lfortran.git cd lfortran
Run the following commands
conda activate lf ./build0.sh cmake -DCMAKE_BUILD_TYPE=Debug -DWITH_LLVM=yes -DCMAKE_INSTALL_PREFIX=`pwd`/inst .\ make -j8
If everything compiles, you can use LFortran as follows
./src/bin/lfortran ./examples/expr2.f90 ./a.out
Run an interactive prompt
Enabling the Jupyter Kernel¶
To install the Jupyter kernel, install the following Conda packages also:
conda install xeus xtl nlohmann_json cppzmq
and enable the kernel by
-DWITH_XEUS=yes and install into
cmake \ -DCMAKE_BUILD_TYPE=Debug \ -DWITH_LLVM=yes \ -DWITH_XEUS=yes \ -DCMAKE_PREFIX_PATH="$CONDA_PREFIX" \ -DCMAKE_INSTALL_PREFIX="$CONDA_PREFIX" \ . cmake --build . -j4 --target install
To use it, install Jupyter (
conda install jupyter) and test that the LFortran
kernel was found:
jupyter kernelspec list --json
Then launch a Jupyter notebook as follows:
New->Fortran. To launch a terminal jupyter LFortran console:
jupyter console --kernel=fortran
Build From Git with Nix¶
One of the ways to ensure exact environment and dependencies is with
nix. This will ensure that system dependencies do not interfere with the development environment. If you want, you can report bugs in a
nix-shell environment to make it easier for others to reproduce.
We start by getting
nix. The following multi-user installation will work on any machine with a Linux distribution, MacOS or Windows (via WSL):
sh <(curl -L https://nixos.org/nix/install) --daemon
If you would like to not provide
nix with root access to your machine, on Linux distributions we can use nix-portable.
Now just prepend all
nix-shell commands with
NP_RUNTIME=bwrap ./nix-portable . So:
# Do not nix-shell --run "bash" # Do NP_RUNTIME=bwrap ./nix-portable nix-shell --run "bash"
Now we can enter the development environment:
nix-shell --run "bash" --cores 4 -j4 --pure ci/shell.nix
--pure flag ensures no system dependencies are used in the environment.
The build steps are the same as with the
To change the compilation environment from
gcc (default) to
clang we can use
nix-shell --run "bash" --cores 4 -j4 --pure ci/shell.nix --argstr clangOnly "yes"
Note About Dependencies¶
End users (and distributions) are encouraged to use the tarball from https://lfortran.org/download/, which only depends on LLVM, CMake and a C++ compiler.
The tarball is generated automatically by our CI (continuous integration) and contains some autogenerated files: the parser, the AST and ASR nodes, which is generated by an ASDL translator (requires Python).
The instructions from git are to be used when developing LFortran itself.
Note for users who do not use Conda¶
Following are the dependencies necessary for installing this repository in development mode,
binutils - 2.31.90 - Make sure that you should enable the required options related to this dependency to build the dynamic libraries (the ones ending with
LFortran can print stacktraces when there is an unhandled exception, as well as
on any compiler error with the
--show-stacktrace option. This is very helpful
for developing the compiler itself to see where in LFortran the problem is. The
stacktrace support is turned off by default, to enable it,
compile LFortran with the
-DWITH_STACKTRACE=yes cmake option after installing
the prerequisites on each platform per the instructions below.
apt install binutils-dev.
If you use the default Clang compiler on macOS, then the stacktraces should
just work on both Intel and M1 based macOS (the CMake build system
automatically invokes the
dsymtuil tool and our Python scripts to store the
debug information, see
src/bin/CMakeLists.txt for more details). If it does
not work, please report a bug.
If you do not like the default way, an alternative is to use bintutils. For that, first install Spack, then:
spack install binutils spack find -p binutils
The last command will show a full path to the installed
binutils package. Add
this path to your shell config file, e.g.:
and compile LFortran with the
-DCMAKE_PREFIX_PATH="$CMAKE_PREFIX_PATH_LFORTRAN;$CONDA_PREFIX" cmake option.
$CONDA_PREFIX is there if you install some other dependencies (such as
llvm) using Conda, otherwise you can remove it.