cabby | TAXII client implementation from EclecticIQ
kandi X-RAY | cabby Summary
kandi X-RAY | cabby Summary
cabby is a Python library. cabby has build file available and it has low support. However cabby has 1 bugs, it has 1 vulnerabilities and it has a Non-SPDX License. You can download it from GitHub.
TAXII client implementation from EclecticIQ
TAXII client implementation from EclecticIQ
Support
Quality
Security
License
Reuse
Support
cabby has a low active ecosystem.
It has 73 star(s) with 20 fork(s). There are 41 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 38 have been closed. On average issues are closed in 161 days. There are 2 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of cabby is current.
Quality
cabby has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 13 code smells.
Security
cabby has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
cabby code analysis shows 1 unresolved vulnerabilities (0 blocker, 1 critical, 0 major, 0 minor).
There are 18 security hotspots that need review.
License
cabby 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.
Reuse
cabby 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.
It has 3054 lines of code, 186 functions and 30 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed cabby and discovered the below as its top functions. This is intended to give you an instant insight into cabby implemented functionality, and help decide if they suit your requirements.
- Takes a collection and returns a generator that yields the result
- Get a service by its type
- Return a list of available services
- Execute a request
- Poll for content blocks
- Get blocks from the client
- Save the content block to a directory
- Generate a filename for a collection
- Convert HTTP status to a string
- Convert a dictionary to a string
- Returns a collection of collections
- Convert a collection into a collection entity
- Converts a ServiceInstance to a DetailedServiceInstance
- Returns a list of Feed Information objects
- Unsubscribe from a collection
- Poll for messages from a collection
- Get the status of a subscription
- Create a new content block
- Get the content block count for a collection
- Subscribe to feed
- Subscribe to a collection
- Perform a discovery request
Get all kandi verified functions for this library.
cabby Key Features
No Key Features are available at this moment for cabby.
cabby Examples and Code Snippets
No Code Snippets are available at this moment for cabby.
Community Discussions
Trending Discussions on cabby
QUESTION
Match strings with certain number of unique characters in bash
Asked 2020-Mar-07 at 03:52
I need to delete all the strings in a file that have less than 4 unique characters in them
Input:
...ANSWER
Answered 2020-Mar-07 at 03:52Using gnu awk
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cabby
You can download it from GitHub.
You can use cabby 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 cabby 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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