Being a Python developer, you might have come across an error message that reads “ImportError: dlopen“.
This error message can be confusing especially if you are not familiar with what it means or how to fix it.
So in this article, we will provide you a guide to have a better understanding and how to fix the “ImportError: dlopen” error.
What is Importerror: dlopen?
This Importerror: dlopen is an error when we import a library in Python, but the library or symbol is not found.
Further, this error usually occurs in Python when the interpreter cannot load a shared library or dynamic link library (DLL) that a Python module depends on.
There are several reasons why this error occurs, it could be the following:
- missing dependencies
- incompatibility issues
- broken library
- uninstalled libraries.
This “ImportError: dlopen” error is normally associated with Python, but it can also occur in other programming languages that use shared libraries.
How to fix Importerror: dlopen?
In fixing “ImportError: dlopen” error you can try the following solutions:
- Install the missing library
Make sure that the library the Python modules depend on is installed in your system.
Whenever it is not installed use your system package manager to install the library. - Check the library path
Ensure that the shared library is on the expected path.
If it is not in the default search path, you can add the path to the library to the LD_LIBRARY_PATH environment variable. - Check the library permissions
Verify if the Python interpreter has permission to read the shared library file.
You can check the permissions using the ls -l command and make sure the file has read permission for the appropriate user. - Check library compatibility
Ensure that the shared library is compatible with your operating system and architecture.
If the library is not compatible, you may need to obtain a different version of the library or build it from the source. - Use virtual environments
It’s recommended to use virtual environments for Python projects.
If you’re encountering the ImportError: dlopen error while running your project in a virtual environment, try creating a new virtual environment and reinstalling the dependencies. - Use a different Python version
If you’re encountering an error while using a specific version of Python, try using a different version of Python.
Some shared libraries may not be compatible with certain versions of Python. - Use a different package
If you’re encountering the ImportError: dlopen error while using a specific version of Python, try using a different version of Python.
Some shared libraries may not be compatible with certain versions of Python. - Check the library search path
Verify that the shared library is included in the library search path.
You can add the path to the shared library to the LD_RUN_PATH environment variable
It’s important to note that the specific solution may vary depending on the cause of the error.
Anyway here are the fixed errors that can help you in case you encounter these issues.
- importerror html5lib not found please install it
- Importerror: cannot import name ‘joblib’ from ‘sklearn.externals’
Conclusion
In conclusion, the ImportError: dlopen error can be confusing but it is usually fixable.
When you understand the common causes of this error message and follow the solutions we have provided, you should be able to fix the issue and get your code running smoothly.
I think that’s all for this error, I hoped this article has helped you fix it.
Until next time! 😊
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Frequently Asked Questions
What is Python ImportError and what causes it?
ImportError is raised when an import fails for any reason. The most specific subtype is ModuleNotFoundError (no such module). Plain ImportError typically means the module exists but a name inside it can’t be imported, e.g. ‘cannot import name X from Y’ (X was renamed, removed, or moved between versions of Y). Common with library version mismatches.
How do I fix ‘cannot import name X from Y’?
Three steps: (1) Check the library version: pip show Y. (2) Check the changelog of Y, X may have been renamed or removed in a recent release. (3) Either pin to an older Y version (pip install Y==1.x.y) or update your code to the new import path. Common 2025-2026 examples: Werkzeug url_decode removed, Pillow ANTIALIAS renamed to LANCZOS.
Why does the import work in REPL but fail in script?
Two reasons. (1) Different Python interpreter: REPL uses one Python, your script uses another. Run python –version both times. (2) Different working directory: REPL is started where you have access to local modules, script is run from a different cwd. Add the project path to sys.path or use python -m to run as a module.
How do I avoid circular import errors?
Circular imports happen when module A imports B and B imports A at the top level. Three fixes: (1) Move one import inside the function that uses it (lazy import). (2) Restructure code so A and B both import from a third module C. (3) Use TYPE_CHECKING for type-hint-only imports: if TYPE_CHECKING: from a import X.
Where can I find more ImportError fixes?
Browse the ImportError reference hub for 67+ specific fixes (Flask, Werkzeug, Django, ML library versions). For missing-module cases see ModuleNotFoundError. For Python setup help see Python Tutorial hub.