This section contains information about setting up a Tribler development environment on Windows. Unlike Linux based systems where installing third-party libraries is often a single apt-get command, installing and configuring the necessary libraries requires more attention on Windows. Moreover, the Windows environment has different file structures. For instance, where Linux is working extensively with .so (shared object) files, Windows uses DLL files.


In this guide, all required dependencies of Tribler will be explained. It presents how to install these dependencies. Some dependencies have to be built from source whereas other dependencies can be installed using a .msi or .exe installer. The guide targets Windows 7 or higher, 64-bit systems, however, it is probably not very hard to install 32-bit packages.

First, Python 2.7 should be installed. If you already have a Python version installed, please check whether this version is 64 bit before proceeding.

python -c "import struct;print( 8 * struct.calcsize('P'))"

This outputs whether your current installation is 32 or 64 bit.

Python can be downloaded from the official Python website. You should download the Windows x86-64 MSI Installer which is an executable. During the setup, remember to install pip/setuptools and to add Python to the PATH variable to access Python from the command line. The option to add Python to the PATH variable is unchecked by default! You can verify whether Python is installed correctly by typing python in the command line. Also check whether pip is working by typing pip in the command line. If they are not working, check whether the PATH variables are correctly set.

If you did not change the default installation location, Python should be located at C:\\Python27\\. The third-party libraries are located in C:\\Python27\\Lib\\site-packages. If you forgot to add Python to your PATH during the setup, you need to add the C:\\Python27\\ and C:\\Python27\\Scripts directories to your PATH variable. Information about how to set path variable can be found here.

In order to compile some of the dependencies of Tribler, you will need Visual Studio 2015 which can be downloaded from here or here. You should select the community edition. Visual Studio ships with a command line interface that can be used for building some of the Python packages. Moreover, it provides a nice IDE which can be used to work on Python projects. After installation of Visual Studio, you should install the Visual C++ tools. This can be done from within Visual Studio by creating a new Visual C++ project. Visual Studio then gives an option to install the Visual C++ developer tools.

In case importing one of the modules fail due to a DLL error, you can inspect if there are files missing by opening it with Dependency Walker. It should show missing dependencies. In our case, we were missing MSVCR100.DLL which belongs to the Microsoft Visual C++ 2010 SP1 Redistributable Package (x64). This package can be downloaded from the Microsoft website. One other DLL that was missing was MSVCR110.DLL, which belongs to the Visual C++ Redistributable for Visual Studio 2012 Update 4. After installing these two packages, there should be no more import errors. It may be required to enable Visual C++ Toolset on the Command Line if Native Command Line tool is not available. You can do that by following article here.


The first package to be installed is M2Crypto which can be installed using pip (the M2Crypto binary is precompiled):

pip install M2CryptoWin64 # use M2CryptoWin32 for the 32-bit version of M2Crypto
python -c "import M2Crypto" # test whether M2Crypto can be successfully imported

If the second statement does not raise an error, M2Crypto is successfully installed.


If you wish to run the Tribler Graphical User Interface, PyQt5 should be available on the system. While PyQt5 is available in the pip repository, this is only compatible with Python 3. There is an unofficial distribution available for Python 2.7 here You can simply install PyQt5 from this repository.

pip install git+git://

After installation, check it was correctly installed

python -c "import PyQt5" # this should work without any error

Alternatively, if above steps do not work, follow the instructions below.

Start by downloading the Qt library from here. You can either compile it from source or use a Qt installer which automatically installs the pre-compiled libraries. Make sure to choose the correct distribution based on your platform(32/64 bit).

After the Qt installation is completed, PyQt5 should be compiled. This library depends on SIP, another library to automatically generate Python bindings from C++ code. Download the latest SIP version here, extract it, navigate to the directory where it has been extracted and compile/install it (don’t forget to execute these commands in the Visual Studio command line):

nmake install

Next, download PyQt5 from here and make sure that you download the version that matches with the version of Qt you installed in the previous steps. Extract the binary and compile it:

python --qmake=<qmake_path> --disable=QtNfc --disable=QtBluetooth
nmake install
python -c "import PyQt5" # this should work without any error

Note that <qmake_path> is the path to the qmake.exe file path. For eg. qmake could be here C:\Qt\Qt5.6.2\5.6\msvc2015_64\bin\qmake.exe but depends on your installation. Here, we are disabling QtNfc and QtBluetooth modules which contains classes that provide connectivity between NFC & Bluetooth enabled devices respectively which we do not require in Tribler. Moreover, not disabling these modules may lead to missing DLL files causing installation to fail. So, we can safely disable them. The installation can take a while. After it has finished, the PyQt5 library is installed correctly.

pyWin32 Tools

In order to access some of the Windows API functions, pywin32 should be installed. The pywin32 installer can be downloaded from Sourceforge and make sure to select the amd64 version and the version compatible with Python 2.7.


The apsw (Another Python SQLite Wrapper) installer can be downloaded from GitHub. Again, make sure to select the amd64 version that is compatible with Python 2.7. You can test whether it is installed correctly by running:

python -c "import apsw"


To install libtorrent, you can simply copy the libtorrent.pyd file from the Github repository here and place it inside your python site-packages directory.

Alternatively, if above does not work then you can try to compile from source. First, install Boost which can be downloaded from SourceForge. Make sure to select the latest version and choose the version is compatible with your version of Visual C++ tools (probably msvc-14).

After installation, you should set an environment variable to let libtorrent know where Boost can be found. You can do this by going to Control Panel > System > Advanced > Environment Variables (more information about setting environment variables can be found here). Now add a variable named BOOST_ROOT and with the value of your Boost location. The default installation location for the Boost libraries is C:\\local\\boost_<BOOST VERSION> where <BOOST VERSION> indicates the installed Boost version.

Next, you should build You can do this by opening the Visual Studio command prompt and navigating to your Boost libraries. Navigate to tools\\build and execute bootstrap.bat. This will create the b2.exe file. In order to invoke b2 from anywhere in your command line, you should add the Boost directory to your user PATH environment variable. After modifying your PATH, you should reopen your command prompt.

Now, download the libtorrent source code from GitHub and extract it. It is advised to compile version 1.0.8. Note that you if you have a 32-bit system, you can download the .msi installer so you do not have to compile libtorrent yourself. Open the Developer Command Prompt shipped with Visual Studio (not the regular command prompt) and navigate to the location where you extracted the libtorrent source. In the directory where the libtorrent source code is located, navigate to bindings\\python and build libtorrent by executing the following command (this takes a while so make sure to grab a coffee while waiting):

b2 boost=source libtorrent-link=static address-model=64

This command will build a static libtorrent 64-bit debug binary. You can also build a release binary by appending release to the command given above. After the build has been completed, the resulting libtorrent.pyd can be found in LIBTORRENT_SOURCE\\bindings\\python\\bin\\msvc-14\\debug\\address-model-64\\boost-source\\link-static\\ where LIBTORRENT_SOURCE indicates the directory with the libtorrent source files. Copy libtorrent.pyd to your site-packages location (the default location is C:\\Python27\\Lib\\site-packages)

After successfully copying the libtorrent.pyd file either compiled or from the repository, you can check if the installation was successful:

python -c "import libtorrent" # this should work without any error


Libsodium can be download as precompiled binary from their website. Download the latest version, built with msvc. Extract the archive to any location on your machine. Next, you should add the location of the dynamic library to your PATH variables (either as system variable or as user variable). These library files can be found in LIBSODIUM_ROOT\\x64\\Release\\v140\\dynamic\\ where LIBSODIUM_ROOT is the location of your extracted libsodium files. After modifying your PATH, you should reopen your command prompt. You test whether Python is able to load libsodium.dll by executing:

python -c "import ctypes; ctypes.cdll.LoadLibrary('libsodium')"


The next dependency to be installed is levelDB. LevelDB is a fast key-value storage written by Google. LevelDB itself is written in C++ but there are several Python wrappers available.

To install LevelDB, you can simply copy the leveldb.pyd file from the Github repository here and place it inside your python site-packages directory. Then, check check if installation was successful:

python -c "import leveldb" # this should work without any error

Alternatively, you will compile leveldb from source. First, download the source code from GitHub (either clone the repository or download the source code as zip). The readme on this repo contains some basic instructions on how to compile leveldb.

Next, open the levedb_ext.sln file in Visual Studio. This guide is based on the x64 release configuration. If you want to build a 32-bit leveldb project, change the configuration to win32 release.

You should edit the file paths of the include directories and the linker directories. These can be edited by right clicking on the project and selecting properties. You will need to update additional include directories (under C/C++ -> general) to point to your Python include directory (often located in C:\\Python27\\include). This is needed for the compilation of the Python bindings. Also, make sure that the following preprocessor definitions (found under C/C++ -> preprocessor) are defined: WIN32 and LEVELDB_PLATFORM_WINDOWS.

Next, additional library directories should be adjusted, found under Linker -> General. You should add the directory where your Python libraries are residing, often in C:\\Python27\\libs.

Compile by pressing the build leveldb_ext in the build menu. If any errors are showing up during compilation, please refer to the Visual Studio log file and check what’s going wrong. Often, this should be a missing include/linker directory. If compilation is successful, a leveldb_ext.pyd file should have been created in the project directory. Copy this file to your site-packages location and rename it to leveldb.pyd so Python is able to find it. You can test whether your binary is working by using the following command which should execute without any errors:

python -c "import leveldb"


To install VLC, you can download the official installer from the VideoLAN website. Make sure to install the 64-bit version of VLC.

NumPy & SciPy

To install NumPy & SciPy, download the respective .whl files here and install using with pip as below. Make sure to download files with cp27 in names as they are for python 2.7

pip install scipy‑0.19.1‑cp27‑cp27m‑win_amd64.whl
pip install numpy‑1.13.1+mkl‑cp27‑cp27m‑win_amd64.whl

Additional Packages

There are some additional packages which should be installed. They can easily be installed using pip:

pip install cython  # Needs to be installed first for meliae
pip install bitcoinlib cherrypy chardet configobj cryptography decorator feedparser meliae netifaces networkx pillow psutil twisted libnacl

Running Tribler

You should now be able to run Tribler from command line. Grab a copy of the Tribler source code and navigate in a command line interface to the source code directory. Start Tribler by running:


You might get errors about imports in the Tribler module. To fix this, you should add the location where the Tribler directory is located to the PYTHONPATH user environment variables. Information about changing environment variables can be found here.

If there are any problems with the guide above, please feel free to fix any errors or create an issue so we can look into it.