- Windows Cannot Find Dll
- Cannot Find Dll Wrapper Dev-c Version
- Visual Studio Cannot Find Dll
- Cannot Find Dll Wrapper Dev-c Free
- Cannot Find Dll Wrapper Dev-c Key
- Cannot Find Dll Wrapper Dev-c Windows 7
Modules written in C++ (or C) are commonly used to extend the capabilities of a Python interpreter as well as to enable access to low-level operating system capabilities. There are three primary types of modules:
- Nov 29, 2016 SolarWinds® Security & Event Manager (SEM) is designed to deliver comprehensive Security Information and Event Management (SIEM) capabilities in a highly affordable, easy-to-use, and quick-to-deploy virtual appliance.
- Nov 19, 2018 For more information, see Install Python support for Visual Studio, including using other versions of Visual Studio.If you install Python separately, be sure to select Download debugging symbols and Download debug binaries under Advanced Options in the installer.
Chromium Embedded Framework Forum. Forum for support and discussion of the Chromium Embedded Framework. Cannot find libcefdllwrapper.vcxproj building cef-bina.
- Accelerator modules: because Python is an interpreted language, certain pieces of code can be written in C++ for higher performance.
- Wrapper modules: expose existing C/C++ interfaces to Python code or expose a more 'Pythonic' API that's easy to use from Python.
- Low-level system access modules: created to access lower-level features of the CPython runtime, the operating system, or the underlying hardware.
This article walks through building a C++ extension module for CPython that computes a hyperbolic tangent and calls it from Python code. The routine is implemented first in Python to demonstrate the relative performance gain of implementing the same routine in C++.
This article also demonstrates two ways to make the C++ available to Python:
- The standard CPython extensions as described in the Python documentation
- PyBind11, which is recommended for C++ 11 because of its simplicity.
A comparison between these and other means is found under alternative approaches at the end of this article.
The completed sample from this walkthrough can be found on python-samples-vs-cpp-extension (GitHub).
Prerequisites
- Visual Studio 2017 or later with both the Desktop Development with C++ and Python Development workloads installed with default options.
- In the Python Development workload, also select the box on the right for Python native development tools. This option sets up most of the configuration described in this article. (This option also includes the C++ workload automatically.)TipInstalling the Data science and analytical applications workload also includes Python and the Python native development tools option by default.
For more information, see Install Python support for Visual Studio, including using other versions of Visual Studio. If you install Python separately, be sure to select Download debugging symbols and Download debug binaries under Advanced Options in the installer. This option ensures that you have the necessary debug libraries available if you choose to do a debug build.
Create the Python application
- Create a new Python project in Visual Studio by selecting File > New > Project. Search for 'Python', select the Python Application template, give it a suitable name and location, and select OK.
- Working with C++ requires that you use a 32-bit Python interpreter (Python 3.6 or above recommended). In the Solution Explorer window of Visual Studio, expand the project node, then expand the Python Environments node. If you don't see a 32-bit environment as the default (either in bold, or labeled with global default), then follow the instructions on Select a Python environment for a project. If you don't have a 32-bit interpreter installed, see Install Python interpreters.
- In the project's .py file, paste the following code that benchmarks the computation of a hyperbolic tangent (implemented without using the math library for easier comparison). Feel free to enter the code manually to experience some of the Python editing features.
- Run the program using Debug > Start without Debugging (Ctrl+F5) to see the results. You can adjust the
COUNT
variable to change how long the benchmark takes to run. For the purposes of this walkthrough, set the count so that the benchmark take around two seconds.
Tip
When running benchmarks, always use Debug > Start without Debugging to avoid the overhead incurred when running code within the Visual Studio debugger.
Create the core C++ projects
Follow the instructions in this section to create two identical C++ projects named 'superfastcode' and 'superfastcode2'. Later you'll use different means in each project to expose the C++ code to Python.
![Find Find](/uploads/1/3/3/2/133297038/683300225.png)
- Make sure the
PYTHONHOME
environment variable is set to the Python interpreter you want to use. The C++ projects in Visual Studio rely on this variable to locate files such as python.h, which are used when creating a Python extension. - Right-click the solution in Solution Explorer and select Add > New Project. A Visual Studio solution can contain both Python and C++ projects together (which is one of the advantages of using Visual Studio for Python).
- Search on 'C++', select Empty project, specify the name 'superfastcode' ('superfastcode2' for the second project), and select OK.TipWith the Python native development tools installed in Visual Studio, you can start with the Python Extension Module template instead, which has much of what's described below already in place. For this walkthrough, though, starting with an empty project demonstrates building the extension module step by step. Once you understand the process, the template saves you time when writing your own extensions.
- Create a C++ file in the new project by right-clicking the Source Files node, then select Add > New Item, select C++ File, name it
module.cpp
, and select OK.ImportantA file with the .cpp extension is necessary to turn on the C++ property pages in the steps that follow. - Right-click the C++ project in Solution Explorer, select Properties.
- At the top of the Property Pages dialog that appears, set Configuration to All Configurations and Platform to Win32.
- Set the specific properties as described in the following table, then select OK.
Tab Property Value General General > Target Name Specify the name of the module as you want to refer to it from Python in from..import
statements. You use this same name in the C++ when defining the module for Python. If you want to use the name of the project as the module name, leave the default value of $(ProjectName).General > Target Extension .pyd Project Defaults > Configuration Type Dynamic Library (.dll) C/C++ > General Additional Include Directories Add the Python include folder as appropriate for your installation, for example, c:Python36include
.C/C++ > Preprocessor Preprocessor Definitions CPython only: add Py_LIMITED_API;
to the beginning of the string (including the semicolon). This definition restricts some of the functions you can call from Python and makes the code more portable between different versions of Python. If you're working with PyBind11, don't add this definition, otherwise you'll see build errors.C/C++ > Code Generation Runtime Library Multi-threaded DLL (/MD) (see Warning below) Linker > General Additional Library Directories Add the Python libs folder containing .lib files as appropriate for your installation, for example, c:Python36libs
. (Be sure to point to the libs folder that contains .lib files, and not the Lib folder that contains .py files.)TipIf you don't see the C/C++ tab in the project properties, it's because the project doesn't contain any files that it identifies as C/C++ source files. This condition can occur if you create a source file without a .c or .cpp Cooking academy 2 world cuisine. extension. For example, if you accidentally enteredmodule.coo
instead ofmodule.cpp
in the new item dialog earlier, then Visual Studio creates the file but doesn't set the file type to 'C/C+ Code,' which is what activates the C/C++ properties tab. Such misidentification remains the case even if you rename the file with.cpp
. To set the file type properly, right-click the file in Solution Explorer, select Properties, then set File Type to C/C++ Code.WarningAlways set the C/C++ > Code Generation > Runtime Library option to Multi-threaded DLL (/MD), even for a debug configuration, because this setting is what the non-debug Python binaries are built with. With CPython, if you happen to set the Multi-threaded Debug DLL (/MDd) option, building a Debug configuration produces error C1189: Py_LIMITED_API is incompatible with Py_DEBUG, Py_TRACE_REFS, and Py_REF_DEBUG. Furthermore, if you removePy_LIMITED_API
(which is required with CPython, but not PyBind11) to avoid the build error, Python crashes when attempting to import the module. (The crash happens within the DLL's call toPyModule_Create
as described later, with the output message of Fatal Python error: PyThreadState_Get: no current thread.)The /MDd option is used to build the Python debug binaries (such as python_d.exe), but selecting it for an extension DLL still causes the build error withPy_LIMITED_API
. - Right-click the C++ project and select Build to test your configurations (both Debug and Release). The .pyd files are located in the solution folder under Debug and Release, not the C++ project folder itself.
- Add the following code to the C++ project's module.cpp file:
- Build the C++ project again to confirm that your code is correct.
- https://evercaptain708.weebly.com/mac-boot-camp-cant-under-partition.html. If you haven't already done so, repeat the steps above to create a second project named 'superfastcode2' with identical contents.
Convert the C++ projects to extensions for Python
To make the C++ DLL into an extension for Python, you first modify the exported methods to interact with Python types. You then add a function that exports the module, along with definitions of the module's methods.
The sections that follow explain how to perform these steps using both the CPython extensions and PyBind11.
CPython extensions
For background on what's shown in this section for Python 3.x, refer to the Python/C API Reference Manual and especially Module Objects on python.org (remember to select your version of Python from the drop-down control on the upper right to view the correct documentation).
If you're working with Python 2.7, refer instead to Extending Python 2.7 with C or C++ and Porting Extension Modules to Python 3 (python.org).
- At the top of module.cpp, include Python.h:
- Modify the
tanh_impl
method to accept and return Python types (aPyOjbect*
, that is): - Add a structure that defines how the C++
tanh_impl
function is presented to Python: - Add a structure that defines the module as you want to refer to it in your Python code, specifically when using the
from..import
statement. (Make this match the value in the project properties under Configuration Properties > General > Target Name.) In the following example, the 'superfastcode' module name means you can usefrom superfastcode import fast_tanh
in Python, becausefast_tanh
is defined withinsuperfastcode_methods
. (Filenames internal to the C++ project, like module.cpp, are inconsequential.) - Add a method that Python calls when it loads the module, which must be named
PyInit_<module-name>
, where <module-name> exactly matches the C++ project's General > Target Name property (that is, it matches the filename of the .pyd built by the project). - Set the target configuration to Release and build the C++ project again to verify your code. If you encounter errors, see the Troubleshooting section below.
PyBind11
If you completed the steps in the previous section, you certainly noticed that you used lots of boilerplate code to create the necessary module structures for the C++ code. PyBind11 simplifies the process through macros in a C++ header file that accomplish the same result with much less code. For background on what's shown in this section, see PyBind11 basics (github.com).
- Install PyBind11 using pip:
pip install pybind11
orpy -m pip install pybind11
. - At the top of module.cpp, include pybind11.h:
- At the bottom of module.cpp, use the
PYBIND11_MODULE
macro to define the entrypoint to the C++ function: - Set the target configuration to Release and build the C++ project to verify your code. If you encounter errors, see the next section on troubleshooting.
Troubleshooting
The C++ module may fail to compile for the following reasons:
Windows Cannot Find Dll
- Unable to locate Python.h (E1696: cannot open source file 'Python.h' and/or C1083: Cannot open include file: 'Python.h': No such file or directory): verify that the path in C/C++ > General > Additional Include Directories in the project properties points to your Python installation's include folder. See step 6 under Create the core C++ project.
- Unable to locate Python libraries: verify that the path in Linker > General > Additional Library Directories in the project properties points to your Python installation's libs folder. See step 6 under Create the core C++ project.
- Linker errors related to target architecture: change the C++ target's project architecture to match that of your Python installation. For example, if you're targeting x64 with the C++ project but your Python installation is x86, change the C++ project to target x86.
Test the code and compare the results
Now that you have the DLLs structured as Python extensions, you can refer to them from the Python project, import the modules, and use their methods.
Make the DLL available to Python
There are two ways to make the DLL available to Python.
The first method works if the Python project and the C++ project are in the same solution. Go to Solution Explorer, right-click the References node in your Python project, and then select Add Reference. In the dialog that appears, select the Projects tab, select both the superfastcode and superfastcode2 projects, and then select OK.
The alternate method, described in the following steps, installs the module in the global Python environment, making it available to other Python projects as well. (Doing so typically requires that you refresh the IntelliSense completion database for that environment in Visual Studio 2017 version 15.5 and earlier. Refreshing is also necessary when removing the module from the environment.)
- If you're using Visual Studio 2017 or later, run the Visual Studio installer, select Modify, select Individual Components > Compilers, build tools, and runtimes > Visual C++ 2015.3 v140 toolset. This step is necessary because Python (for Windows) is itself built with Visual Studio 2015 (version 14.0) and expects that those tools are available when building an extension through the method described here. (Note that you may need to install a 32-bit version of Python and target the DLL to Win32 and not x64.)
- Create a file named setup.py in the C++ project by right-clicking the project and selecting Add > New Item. Then select C++ File (.cpp), name the file
setup.py
, and select OK (naming the file with the .py extension makes Visual Studio recognize it as Python despite using the C++ file template). Daisydisk. When the file appears in the editor, paste the following code into it as appropriate to the extension method:CPython extensions (superfastcode project):See Building C and C++ extensions (python.org) for documentation on this script.PyBind11 (superfastcode2 project): - The setup.py code instructs Python to build the extension using the Visual Studio 2015 C++ toolset when used from the command line. Open an elevated command prompt, navigate to the folder containing the C++ project (that is, the folder that contains setup.py), and enter the following command:or:
Call the DLL from Python
After you've made the DLL available to Python as described in the previous section, you can now call the
superfastcode.fast_tanh
and superfastcode2.fast_tanh2
functions from Python code and compare their performance to the Python implementation:- Add the following lines in your .py file to call methods exported from the DLLs and display their outputs:
- Run the Python program (Debug > Start without Debugging or Ctrl+F5) and observe that the C++ routines run approximately five to twenty times faster than the Python implementation. Typical output appears as follows:If the Start Without Debugging command is disabled, right-click the Python project in Solution Explorer and select Set as Startup Project.
- Try increasing the
COUNT
variable so that the differences are more pronounced. A Debug build of the C++ module also runs slower than a Release build because the Debug build is less optimized and contains various error checks. Feel free to switch between those configurations for comparison.
Note
In the output, you can see that the PyBind11 extension isn't as fast as the CPython extension, though it's still significantly faster than the straight Python implementation. The difference is due to a small amount of per-call overhead that PyBind11 introduces in order to make its C++ interface dramatically simpler. This per-call difference is actually quite negligible: because the test code calls the extension functions 500,000 times, the results you see here greatly amplify that overhead! Typically, a C++ function does much more work than the trivial
fast_tanh[2]
methods used here, in which case the overhead is unimportant. However, if you're implementing methods that might be called thousands of times per second, using the CPython approach can result in better performance than PyBind11.Debug the C++ code
Visual Studio supports debugging Python and C++ code together. This section walks through the process using the superfastcode project; the steps are the same for the superfastcode2 project.
- Right-click the Python project in Solution Explorer, select Properties, select the Debug tab, and then select the Debug > Enable native code debugging option.TipWhen you enable native code debugging, the Python output window may disappear immediately when the program has completed without giving you the usual Press any key to continue pause. To force a pause, add the
-i
option to the Run > Interpreter Arguments field on the Debug tab when you enable native code debugging. This argument puts the Python interpreter into interactive mode after the code finishes, at which point it waits for you to press Ctrl+Z > Enter to exit. (Alternately, if you don't mind modifying your Python code, you can addimport os
andos.system('pause')
statements at the end of your program. This code duplicates the original pause prompt.) - Select File > Save to save the property changes.
- Set the build configuration to Debug in the Visual Studio toolbar.
- Because code generally takes longer to run in the debugger, you may want to change the
COUNT
variable in your .py file to a value that's about five times smaller (for example, change it from500000
to100000
). - In your C++ code, set a breakpoint on the first line of the
tanh_impl
method, then start the debugger (F5 or Debug > Start Debugging). The debugger stops when that code is called. If the breakpoint is not hit, check that the configuration is set to Debug and that you've saved the project (which does not happen automatically when starting the debugger). - At this point you can step through the C++ code, examine variables, and so on. These features are detailed in Debug C++ and Python together.
Alternative approaches
There are a variety of means to create Python extensions as described in the following table. The first two entries for CPython and PyBind11 are what has been discussed in this article already.
Approach | Vintage | Representative user(s) | Pro(s) | Con(s) |
---|---|---|---|---|
C/C++ extension modules for CPython | 1991 | Standard Library | Extensive documentation and tutorials. Total control. | Compilation, portability, reference management. High C knowledge. |
PyBind11 (Recommended for C++) | 2015 | Lightweight, header-only library for creating Python bindings of existing C++ code. Few dependencies. PyPy compatibility. | Newer, less mature. Heavy use of C++11 features. Short list of supported compilers (Visual Studio is included). | |
Cython (Recommended for C) | 2007 | gevent, kivy | Python-like. Highly mature. High performance. | Compilation, new syntax, new toolchain. |
Boost.Python | 2002 | Works with just about every C++ compiler. | Large and complex suite of libraries; contains many workarounds for old compilers. | |
ctypes | 2003 | oscrypto | No compilation, wide availability. | Accessing and mutating C structures cumbersome and error prone. |
SWIG | 1996 | crfsuite | Generate bindings for many languages at once. | Excessive overhead if Python is the only target. |
cffi | 2013 | cryptography, pypy | Ease of integration, PyPy compatibility. | Newer, less mature. |
cppyy | 2017 | Similar to cffi using C++. | Newer, may have some issues with VS 2017. |
See also
The completed sample from this walkthrough can be found on python-samples-vs-cpp-extension (GitHub).
What is Fruity wrapper.dll?link
The size of this dynamic link library is 0.4 MB Precision tune auto care riverdale ga jobs. and its download links are healthy. It has been downloaded 10741 times already and it has received 3.8 out of 5 stars.
Table of Contents
- Methods to Fix the Fruity Wrapper.dll Errors
- Method 5: Fixing the Fruity wrapper.dll Error by Manually Updating Windows
Operating Systems That Can Use the Fruity wrapper.dll Librarylink
Guide to Download Fruity wrapper.dlllink
- Click on the green-colored 'Download' button on the top left side of the page.
- 'After clicking the Download' button, wait for the download process to begin in the 'Downloading' page that opens up. Depending on your Internet speed, the download process will begin in approximately 4 -5 seconds.
Methods to Fix the Fruity Wrapper.dll Errorslink
ATTENTION! Before continuing on to install the Fruity wrapper.dll library, you need to download the library. If you have not downloaded it yet, download it before continuing on to the installation steps. If you are having a problem while downloading the library, you can browse the download guide a few lines above.
Method 1: Installing the Fruity wrapper.dll Library to the Windows System Directorylink
- The file you downloaded is a compressed file with the '.zip' extension. In order to install it, first, double-click the '.zip' file and open the file. You will see the library named 'Fruity wrapper.dll' in the window that opens up. This is the library you need to install. Drag this library to the desktop with your mouse's left button.
- Copy the 'Fruity wrapper.dll' library file you extracted.
- Paste the dynamic link library you copied into the 'C:WindowsSystem32' directory.
- If you are using a 64 Bit operating system, copy the 'Fruity wrapper.dll' library and paste it into the 'C:WindowssysWOW64' as well.
NOTE! On Windows operating systems with 64 Bit architecture, the dynamic link library must be in both the 'sysWOW64' directory as well as the 'System32' directory. In other words, you must copy the 'Fruity wrapper.dll' library into both directories.
- In order to run the Command Line as an administrator, complete the following steps.
NOTE! In this explanation, we ran the Command Line on Windows 10. If you are using one of the Windows 8.1, Windows 8, Windows 7, Windows Vista or Windows XP operating systems, you can use the same methods to run the Command Line as an administrator. Even though the pictures are taken from Windows 10, the processes are similar.
- First, open the Start Menu and before clicking anywhere, type 'cmd' but do not press Enter.
- When you see the 'Command Line' option among the search results, hit the 'CTRL' + 'SHIFT' + 'ENTER' keys on your keyboard.
- A window will pop up asking, 'Do you want to run this process?'. Confirm it by clicking to 'Yes' button.
- Paste the command below into the Command Line window that opens and hit the Enter key on your keyboard. This command will delete the Fruity wrapper.dll library's damaged registry (It will not delete the file you pasted into the System32 directory, but will delete the registry in Regedit. The file you pasted in the System32 directory will not be damaged in any way).
%windir%System32regsvr32.exe /u Fruity wrapper.dll
- If you have a 64 Bit operating system, after running the command above, you must run the command below. This command will clean the Fruity wrapper.dll library's damaged registry in 64 Bit as well (The cleaning process will be in the registries in the Registry Editor< only. In other words, the dll file you paste into the SysWoW64 folder will stay as it).
%windir%SysWoW64regsvr32.exe /u Fruity wrapper.dll
- In order to cleanly recreate the dll library's registry that we deleted, copy the command below and paste it into the Command Line and hit Enter.
%windir%System32regsvr32.exe /i Fruity wrapper.dll
- If the Windows version you use has 64 Bit architecture, after running the command above, you must run the command below. With this command, you will create a clean registry for the problematic registry of the Fruity wrapper.dll library that we deleted.
%windir%SysWoW64regsvr32.exe /i Fruity wrapper.dll
- If you did all the processes correctly, the missing dll file will have been installed. You may have made some mistakes when running the Command Line processes. Generally, these errors will not prevent the Fruity wrapper.dll library from being installed. In other words, the installation will be completed, but it may give an error due to some incompatibility issues. You can try running the program that was giving you this dll file error after restarting your computer. If you are still getting the dll file error when running the program, please try the 2nd method.
Method 2: Copying the Fruity wrapper.dll Library to the Program Installation Directorylink
Cannot Find Dll Wrapper Dev-c Version
- First, you must find the installation directory of the program (the program giving the dll error) you are going to install the dynamic link library to. In order to find this directory, 'Right-Click > Properties' on the program's shortcut.
- Open the program installation directory by clicking the Open File Location button in the 'Properties' window that comes up.
- Copy the Fruity wrapper.dll library.
- Paste the dynamic link library you copied into the program's installation directory that we just opened.
- When the dynamic link library is moved to the program installation directory, it means that the process is completed. Check to see if the issue was fixed by running the program giving the error message again. If you are still receiving the error message, you can complete the 3rd Method as an alternative.
Method 3: Doing a Clean Reinstall of the Program That Is Giving the Fruity wrapper.dll Errorlink
- Push the 'Windows' + 'R' keys at the same time to open the Run window. Type the command below into the Run window that opens up and hit Enter. This process will open the 'Programs and Features' window.
appwiz.cpl
- The Programs and Features window will open up. Find the program that is giving you the dll error in this window that lists all the programs on your computer and 'Right-Click > Uninstall' on this program.
- Uninstall the program from your computer by following the steps that come up and restart your computer.
- After restarting your computer, reinstall the program that was giving the error.
- This method may provide the solution to the dll error you're experiencing. If the dll error is continuing, the problem is most likely deriving from the Windows operating system. In order to fix dll errors deriving from the Windows operating system, complete the 4th Method and the 5th Method.
Method 4: Fixing the Fruity wrapper.dll Issue by Using the Windows System File Checker (scf scannow)link
Visual Studio Cannot Find Dll
- In order to run the Command Line as an administrator, complete the following steps.
NOTE! In this explanation, we ran the Command Line on Windows 10. If you are using one of the Windows 8.1, Windows 8, Windows 7, Windows Vista or Windows XP operating systems, you can use the same methods to run the Command Line as an administrator. Even though the pictures are taken from Windows 10, the processes are similar.
- First, open the Start Menu and before clicking anywhere, type 'cmd' but do not press Enter.
- When you see the 'Command Line' option among the search results, hit the 'CTRL' + 'SHIFT' + 'ENTER' keys on your keyboard.
- A window will pop up asking, 'Do you want to run this process?'. Confirm it by clicking to 'Yes' button.
- Type the command below into the Command Line page that comes up and run it by pressing Enter on your keyboard.
sfc /scannow
- The process can take some time depending on your computer and the condition of the errors in the system. Before the process is finished, don't close the command line! When the process is finished, try restarting the program that you are experiencing the errors in after closing the command line.
Method 5: Fixing the Fruity wrapper.dll Error by Manually Updating Windowslink
Most of the time, programs have been programmed to use the most recent dynamic link libraries. If your operating system is not updated, these files cannot be provided and dll errors appear. So, we will try to fix the dll errors by updating the operating system.
Since the methods to update Windows versions are different from each other, we found it appropriate to prepare a separate article for each Windows version. You can get our update article that relates to your operating system version by using the links below.
Guides to Manually Update the Windows Operating Systemlink
Cannot Find Dll Wrapper Dev-c Free
Common Fruity wrapper.dll Errorslink
Cannot Find Dll Wrapper Dev-c Key
When the Fruity wrapper.dll library is damaged or missing, the programs that use this dynamic link library will give an error. Not only external programs, but also basic Windows programs and tools use dynamic link libraries. Because of this, when you try to use basic Windows programs and tools (For example, when you open Internet Explorer or Windows Media Player), you may come across errors. We have listed the most common Fruity wrapper.dll errors below.
You will get rid of the errors listed below when you download the Fruity wrapper.dll library from DLL Downloader.com and follow the steps we explained above.
- 'Fruity wrapper.dll not found.' error
- 'The file Fruity wrapper.dll is missing.' error
- 'Fruity wrapper.dll access violation.' error
- 'Cannot register Fruity wrapper.dll.' error
- 'Cannot find Fruity wrapper.dll.' error
- 'This application failed to start because Fruity wrapper.dll was not found. Re-installing the application may fix this problem.' error
Other Dynamic Link Libraries Used with Fruity wrapper.dlllink
Cannot Find Dll Wrapper Dev-c Windows 7
User Evaluations of the Fruity wrapper.dll Librarylink
This graph represents our users' evaluations. By looking at this graph, you can learn how well the Fruity wrapper.dll library works. If you want to evaluate this library as well, you can vote using the yellow-colored stars at the top of the page and send us your evaluation of this library.
The Fruity wrapper.dll Category Directorylink
- Windows 10
- Windows 8.1
- Windows 8
- Windows 7
- Windows Vista
- Windows XP