Symbolicator | symbolicate crash logs generated on Mac OS X
kandi X-RAY | Symbolicator Summary
kandi X-RAY | Symbolicator Summary
Symbolicator is a Python library. Symbolicator has no bugs, it has no vulnerabilities, it has build file available and it has low support. However Symbolicator has a Non-SPDX License. You can download it from GitHub.
Symbolicator by Peter Hosey. This is a program to symbolicate crash logs generated on Mac OS X. When you receive a crash log, pipe it through the Symbolicator. You'll probably want to send the output into a pager or editor. The Symbolicator will use Spotlight to find any dSYM bundles it needs, and dwarfdump to extract symbol information for the addresses in the crash log; it will then replace the bare addresses in the log text with the matching symbol information, and write the symbolicated text out to its standard output.
Symbolicator by Peter Hosey. This is a program to symbolicate crash logs generated on Mac OS X. When you receive a crash log, pipe it through the Symbolicator. You'll probably want to send the output into a pager or editor. The Symbolicator will use Spotlight to find any dSYM bundles it needs, and dwarfdump to extract symbol information for the addresses in the crash log; it will then replace the bare addresses in the log text with the matching symbol information, and write the symbolicated text out to its standard output.
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Symbolicator has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
Symbolicator has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Symbolicator is current.
Quality
Symbolicator has no bugs reported.
Security
Symbolicator has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Symbolicator has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
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Symbolicator 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.
Top functions reviewed by kandi - BETA
kandi has reviewed Symbolicator and discovered the below as its top functions. This is intended to give you an instant insight into Symbolicator implemented functionality, and help decide if they suit your requirements.
- Runs the program .
- Looks up the given bundle ID .
- Finds the dsym by a UUID .
- Parse a binary image .
- Return a symbolic link to the given line .
- Formats a UUID .
- Return the architecture of a given code type .
- Find a dSYM by bundle ID .
Get all kandi verified functions for this library.
Symbolicator Key Features
No Key Features are available at this moment for Symbolicator.
Symbolicator Examples and Code Snippets
No Code Snippets are available at this moment for Symbolicator.
Community Discussions
No Community Discussions are available at this moment for Symbolicator.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Symbolicator
You can download it from GitHub.
You can use Symbolicator 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 Symbolicator 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
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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