memorpy | Python library using ctypes to search/edit windows
kandi X-RAY | memorpy Summary
kandi X-RAY | memorpy Summary
memorpy is a Python library typically used in macOS applications. memorpy has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can download it from GitHub.
Python library using ctypes to search/edit windows/linux/OSX/SunOS programs memory.
Python library using ctypes to search/edit windows/linux/OSX/SunOS programs memory.
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Quality
Security
License
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Support
memorpy has a low active ecosystem.
It has 726 star(s) with 133 fork(s). There are 53 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 9 have been closed. On average issues are closed in 152 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of memorpy is current.
Quality
memorpy has 0 bugs and 0 code smells.
Security
memorpy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
memorpy code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
memorpy is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
memorpy releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
memorpy saves you 579 person hours of effort in developing the same functionality from scratch.
It has 1352 lines of code, 110 functions and 17 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed memorpy and discovered the below as its top functions. This is intended to give you an instant insight into memorpy implemented functionality, and help decide if they suit your requirements.
- Iterate over a region
- Read a string from memory
- Write bytes to the given address
- Start tracing
- Attach ptrace
- Detaches the traceback
- Iterate a memory region
- Perform a virtual query
- Write bytes to the specified address
- Sets the virtual memory of the process
- Read bytes from the process
- List all running processes
- Return the name and position of a process
- Open file descriptor
- Check ptrace scope
- Return a process ID given a name
- Given a process name return its PID
- Get instruction at given address
- Read number of bytes from the process
- Open a process by name
- Write bytes at the given address
- Return True if the specified module has a module
- Returns the name of a process
- Read bytes from a given address
- Returns the symbolic name for the given address
- Returns the PID for a given process name
Get all kandi verified functions for this library.
memorpy Key Features
No Key Features are available at this moment for memorpy.
memorpy Examples and Code Snippets
No Code Snippets are available at this moment for memorpy.
Community Discussions
No Community Discussions are available at this moment for memorpy.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install memorpy
You can download it from GitHub.
You can use memorpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use memorpy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
by mail: contact@n1nj4.eu on Twitter: Follow me on twitter. If some of you want to participate or send me a feedback, don't hesitate :-).
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