AddressMatcher | Package for fuzzy matching addresses in different datasets
kandi X-RAY | AddressMatcher Summary
kandi X-RAY | AddressMatcher Summary
AddressMatcher is a Python library. AddressMatcher has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However AddressMatcher build file is not available. You can download it from GitHub.
Package for fuzzy matching addresses in different datasets.
Package for fuzzy matching addresses in different datasets.
Support
Quality
Security
License
Reuse
Support
AddressMatcher has a low active ecosystem.
It has 14 star(s) with 4 fork(s). There are 4 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 0 have been closed. On average issues are closed in 883 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of AddressMatcher is current.
Quality
AddressMatcher has 0 bugs and 0 code smells.
Security
AddressMatcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
AddressMatcher code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
AddressMatcher is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
AddressMatcher releases are not available. You will need to build from source code and install.
AddressMatcher has no build file. You will be need to create the build yourself to build the component from source.
AddressMatcher saves you 355 person hours of effort in developing the same functionality from scratch.
It has 848 lines of code, 59 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 AddressMatcher and discovered the below as its top functions. This is intended to give you an instant insight into AddressMatcher implemented functionality, and help decide if they suit your requirements.
- Finds the best match for the given candidates
- Sets the probability on the given address
- Sets the other stats on the given address
- Calculate the distance between two potential matches
- Parses postcode
- Split postcode
- Extracts a list of numbers from an address_string
- Get Matches for a given address string
- Load potential matches
- Find the best match
- Process an address string
- Convert a line to a replacement address
- Get the list of lines from the file
- Returns a list of potential matches for an address
- Return list of Address objects
- Fix postcode
- Extract postcode from an address string
- Loads the potential potential matches
Get all kandi verified functions for this library.
AddressMatcher Key Features
No Key Features are available at this moment for AddressMatcher.
AddressMatcher Examples and Code Snippets
No Code Snippets are available at this moment for AddressMatcher.
Community Discussions
No Community Discussions are available at this moment for AddressMatcher.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install AddressMatcher
You can download it from GitHub.
You can use AddressMatcher 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 AddressMatcher 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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