vt-py | The official Python 3 client library for VirusTotal
kandi X-RAY | vt-py Summary
kandi X-RAY | vt-py Summary
vt-py is a Python library. vt-py has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install vt-py' or download it from GitHub, PyPI.
The official Python 3 client library for VirusTotal
The official Python 3 client library for VirusTotal
Support
Quality
Security
License
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Support
vt-py has a low active ecosystem.
It has 351 star(s) with 88 fork(s). There are 35 watchers for this library.
There were 3 major release(s) in the last 12 months.
There are 5 open issues and 51 have been closed. On average issues are closed in 95 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of vt-py is 0.18.2
Quality
vt-py has 0 bugs and 0 code smells.
Security
vt-py has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
vt-py code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
vt-py is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
vt-py releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
vt-py saves you 2763 person hours of effort in developing the same functionality from scratch.
It has 6916 lines of code, 216 functions and 63 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed vt-py and discovered the below as its top functions. This is intended to give you an instant insight into vt-py implemented functionality, and help decide if they suit your requirements.
- Create a reference
- Patch an object
- Convert the response to an object
- Extract the data field from the json response
- Print the results
- Search for files that match a search criteria
- Return an iterator for the given path
- Return the detection rate as a human readable string
- Create an iterator for the given path
- Get network
- Get a file asynchronously
- Get network infrastructure
- Run the program
- Return a Feed object for the given type
- Fetch notifications for a certain date filter
- Uploading rulesets
- Fetch files matching the given query
- Get a value from a JSON path
- Create a new collection
- Get all files matching the RetroHunt job
- Update a collection
- Wrapper for GET requests
- Return a Feed instance for the given type
- Make a GET request
- Download files from the queue
- Show the status of a task
- Get the netloc relationships
Get all kandi verified functions for this library.
vt-py Key Features
No Key Features are available at this moment for vt-py.
vt-py Examples and Code Snippets
No Code Snippets are available at this moment for vt-py.
Community Discussions
No Community Discussions are available at this moment for vt-py.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install vt-py
You can install using 'pip install vt-py' or download it from GitHub, PyPI.
You can use vt-py 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 vt-py 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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