Sammlr | Python scripts to collect data
kandi X-RAY | Sammlr Summary
kandi X-RAY | Sammlr Summary
Sammlr is a Python library typically used in Telecommunications, Media, Media, Entertainment applications. Sammlr has no bugs, it has no vulnerabilities and it has low support. However Sammlr build file is not available. You can download it from GitHub.
Python scripts to collect data from the Facebook API and calculate networks of page likes, mutually liked pages, user overlap, and content overlap. UPDATE February 2018: As the Facebook API no longer seems to allow the unique identification of users, Sammlr is not able to compute a network of user-overlap anymore. Reactions are also not retrieved any more. The only networks you will get and that still work is content overlap, page likes, and common friends. The updated script file is still a bit rough, but should get the job done.
Python scripts to collect data from the Facebook API and calculate networks of page likes, mutually liked pages, user overlap, and content overlap. UPDATE February 2018: As the Facebook API no longer seems to allow the unique identification of users, Sammlr is not able to compute a network of user-overlap anymore. Reactions are also not retrieved any more. The only networks you will get and that still work is content overlap, page likes, and common friends. The updated script file is still a bit rough, but should get the job done.
Support
Quality
Security
License
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Support
Sammlr has a low active ecosystem.
It has 7 star(s) with 6 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
Sammlr has no issues reported. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Sammlr is current.
Quality
Sammlr has no bugs reported.
Security
Sammlr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Sammlr 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.
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Sammlr releases are not available. You will need to build from source code and install.
Sammlr 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 Sammlr and discovered the below as its top functions. This is intended to give you an instant insight into Sammlr implemented functionality, and help decide if they suit your requirements.
- Prompt the user for a list of IDs
- Compute the depth - first search
- Get data from url
- Get the name of a given seed
- Get information about the page
- Parse a list of likes
- Calculates the network of the given idlist
- Get a list of people
- Try to connect to Facebook
- Return a list of zeile objects
- Main entry point
- Get the lenetwork depth of each page
- Get data from Facebook
- Get datar data
- Prepare the program
- Prompt the user to collect Facebook
- Get next ID from input list
- Grab data from idlist
Get all kandi verified functions for this library.
Sammlr Key Features
No Key Features are available at this moment for Sammlr.
Sammlr Examples and Code Snippets
No Code Snippets are available at this moment for Sammlr.
Community Discussions
No Community Discussions are available at this moment for Sammlr.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Sammlr
You can download it from GitHub.
You can use Sammlr 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 Sammlr 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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