opensuse-data | openSUSE datamining scripts
kandi X-RAY | opensuse-data Summary
kandi X-RAY | opensuse-data Summary
opensuse-data is a Python library. opensuse-data has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. However opensuse-data build file is not available. You can download it from GitHub.
Use create-virtualenv.sh to create a virtual environment for Python (needs PIP). To generate the bots.txt file, you can use user-agents.sh script. To convert the Apache log files to a BerkelyDB representation, use log2db.sh. After that you need to convert this in a BerkeleyDB queue for fast data analysis using the analyze.sh script. The IPython notebook Group and tables.ipynb contains all the cells used to make the proper analysis of the data.
Use create-virtualenv.sh to create a virtual environment for Python (needs PIP). To generate the bots.txt file, you can use user-agents.sh script. To convert the Apache log files to a BerkelyDB representation, use log2db.sh. After that you need to convert this in a BerkeleyDB queue for fast data analysis using the analyze.sh script. The IPython notebook Group and tables.ipynb contains all the cells used to make the proper analysis of the data.
Support
Quality
Security
License
Reuse
Support
opensuse-data has a low active ecosystem.
It has 2 star(s) with 1 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
opensuse-data has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of opensuse-data is current.
Quality
opensuse-data has no bugs reported.
Security
opensuse-data has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
opensuse-data is licensed under the GPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
opensuse-data releases are not available. You will need to build from source code and install.
opensuse-data 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 opensuse-data and discovered the below as its top functions. This is intended to give you an instant insight into opensuse-data implemented functionality, and help decide if they suit your requirements.
- Calculate the accumulators .
- Parse a single hit line
- Imports the given file into a dictionary
- Generate a key from a dictionary .
- Extract version and arch
- Return the db name for a given date .
- Load data from file .
- Add an item to a dictionary
- Return the item at index .
- Counts the number of analysis for a given key .
Get all kandi verified functions for this library.
opensuse-data Key Features
No Key Features are available at this moment for opensuse-data.
opensuse-data Examples and Code Snippets
No Code Snippets are available at this moment for opensuse-data.
Community Discussions
No Community Discussions are available at this moment for opensuse-data.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install opensuse-data
You can download it from GitHub.
You can use opensuse-data 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 opensuse-data 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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