copernic | Versioned structured data , with change-request mechanic
kandi X-RAY | copernic Summary
kandi X-RAY | copernic Summary
copernic is a Python library typically used in Big Data, Spark applications. copernic has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install copernic' or download it from GitHub, PyPI.
Versioning in production systems is a trick everybody knows about whether it is through backup, logging systems and ad-hoc audit trails. It allows to inspect, debug and in worst cases rollback to previous states. There is not need to explain the great importance of versioning in software management as tools like git, mercurial, and fossil have shaped modern computing. Having the power of versioning open the door to manyfold applications. Like, it allows to implement a mechanic similar to github's pull requests and gitlab's merge requests in many products. That very mechanic is explicit about the actual human workflow in entreprise settings, in particular, when a person validates a change made by another person. The versioned triple store make the implementation of such mechanics more systematic and less error prone as the implementation can be shared across various tools and organisations. copernic takes the path of versioning data and apply the change-request mechanic to collaborate around the making of a knowledge base, similar in spirit to WikiData and inspired from existing data management systems like CKAN. The use of a version control system to store open data is a good thing as it draws a clear path for reproducible science. But none, meets all the expectations. copernic aims to replace the use of git and make practical cooperation around the creation, publication, storage, re-use and maintenance of knowledge bases that are possibly bigger than memory. Resource Description Framework (RDF) offers a good canvas for cooperation around open data but there is no solution that is good enough according to Collaborative Open Data versioning: a pragmatic approach using Linked Data, by Canova et al. copernic use a novel approach to store triples in an ordered key-value store. It use FoundationDB database storage engine to deliver a pragmatic versatile ACID-compliant versioned triple store where people can cooperate around the making of knowledge. copernic only stores changes between versions. It has also a snapshot of the latest version. copernic does not rely on the theory of patches introduced by Darcs but re-use some its vocabulary. copernic is the future.
Versioning in production systems is a trick everybody knows about whether it is through backup, logging systems and ad-hoc audit trails. It allows to inspect, debug and in worst cases rollback to previous states. There is not need to explain the great importance of versioning in software management as tools like git, mercurial, and fossil have shaped modern computing. Having the power of versioning open the door to manyfold applications. Like, it allows to implement a mechanic similar to github's pull requests and gitlab's merge requests in many products. That very mechanic is explicit about the actual human workflow in entreprise settings, in particular, when a person validates a change made by another person. The versioned triple store make the implementation of such mechanics more systematic and less error prone as the implementation can be shared across various tools and organisations. copernic takes the path of versioning data and apply the change-request mechanic to collaborate around the making of a knowledge base, similar in spirit to WikiData and inspired from existing data management systems like CKAN. The use of a version control system to store open data is a good thing as it draws a clear path for reproducible science. But none, meets all the expectations. copernic aims to replace the use of git and make practical cooperation around the creation, publication, storage, re-use and maintenance of knowledge bases that are possibly bigger than memory. Resource Description Framework (RDF) offers a good canvas for cooperation around open data but there is no solution that is good enough according to Collaborative Open Data versioning: a pragmatic approach using Linked Data, by Canova et al. copernic use a novel approach to store triples in an ordered key-value store. It use FoundationDB database storage engine to deliver a pragmatic versatile ACID-compliant versioned triple store where people can cooperate around the making of knowledge. copernic only stores changes between versions. It has also a snapshot of the latest version. copernic does not rely on the theory of patches introduced by Darcs but re-use some its vocabulary. copernic is the future.
Support
Quality
Security
License
Reuse
Support
copernic has a low active ecosystem.
It has 33 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 30 open issues and 15 have been closed. On average issues are closed in 109 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of copernic is v0.2.0
Quality
copernic has no bugs reported.
Security
copernic has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
copernic is licensed under the AGPL-3.0 License. This license is Strong Copyleft.
Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.
Reuse
copernic releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed copernic and discovered the below as its top functions. This is intended to give you an instant insight into copernic implemented functionality, and help decide if they suit your requirements.
- Handle a change request
- Try to guess the type of a value
- Create a change
- Add item to the list
- Import a change
- Perform a query
- Make a query from parameters
- Take a number of elements from an iterator
- Applies changes to a change
- Apply changes to a change
- Add a new change
- Handles map queries
- Delete a change
- Plot patterns
- Generate a where clause
- Generate a seed from a sequence of items
- Show index
- Check if the given permutation is a permutation prefix
- Generate a where clause for a given pattern
- Create a new change request
- View of a change
- Returns True if solutions are valid
- Return a list of all combinations of a given table
Get all kandi verified functions for this library.
copernic Key Features
No Key Features are available at this moment for copernic.
copernic Examples and Code Snippets
No Code Snippets are available at this moment for copernic.
Community Discussions
Trending Discussions on copernic
QUESTION
parsing row element and add style to a href element
Asked 2018-Jun-15 at 11:36
I'm getting the following HTML table:
...ANSWER
Answered 2018-Jun-15 at 11:36Find a
on table and add css
like below.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install copernic
You can install using 'pip install copernic' or download it from GitHub, PyPI.
You can use copernic 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 copernic 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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