cool_bgp_stats | cool_bgp_stats_Django folder Folder containing Django app
kandi X-RAY | cool_bgp_stats Summary
kandi X-RAY | cool_bgp_stats Summary
cool_bgp_stats is a Python library. cool_bgp_stats has no bugs, it has no vulnerabilities and it has low support. However cool_bgp_stats build file is not available. You can download it from GitHub.
cool_bgp_stats_Django folder Folder containing Django app to make the computed stats public (Under development).
cool_bgp_stats_Django folder Folder containing Django app to make the computed stats public (Under development).
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Quality
Security
License
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Support
cool_bgp_stats has a low active ecosystem.
It has 3 star(s) with 0 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
cool_bgp_stats has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of cool_bgp_stats is current.
Quality
cool_bgp_stats has no bugs reported.
Security
cool_bgp_stats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
cool_bgp_stats does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
cool_bgp_stats releases are not available. You will need to build from source code and install.
cool_bgp_stats has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed cool_bgp_stats and discovered the below as its top functions. This is intended to give you an instant insight into cool_bgp_stats implemented functionality, and help decide if they suit your requirements.
- Loads structures from the archive
- Return a DataFrame containing the number of peers for a given date
- Loads the updates dsDFs for a given date
- Returns a DataFrame containing the prefix for the given date
- Get date from file
- Get the first line of a source file
- Get the date from a file
- Return the JSON data for an organization
- Get JSON from DataFrame
- Loads structures from files
- Determine the longest prefix length
- Returns a dictionary containing the periods of the given prefix
- Returns a dictionary mapping of prefixes to date tuples
- Check if prefix and asn
- Read bytes from the stream
- Returns a list of the periods seen in the given prefix
- Gets a list of date tuples
- Get the routing file for a given routing date
- Concatenates two files
- Returns a list of all the periods in the ASN
- Loads the data structures from a urls file
- Computes the Levenshtein distance between two sequences
- Load data structures from a routing file
- Return JSON for a given year
Get all kandi verified functions for this library.
cool_bgp_stats Key Features
No Key Features are available at this moment for cool_bgp_stats.
cool_bgp_stats Examples and Code Snippets
No Code Snippets are available at this moment for cool_bgp_stats.
Community Discussions
No Community Discussions are available at this moment for cool_bgp_stats.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cool_bgp_stats
You can download it from GitHub.
You can use cool_bgp_stats 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 cool_bgp_stats 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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