open-data-fabric | Open protocol for decentralized exchange
kandi X-RAY | open-data-fabric Summary
kandi X-RAY | open-data-fabric Summary
open-data-fabric is a Python library. open-data-fabric has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However open-data-fabric build file is not available. You can download it from GitHub.
Open Data Fabric is an open protocol specification for decentralized exchange and transformation of semi-structured data, that aims to holistically address many shortcomings of the modern data management systems and workflows.
Open Data Fabric is an open protocol specification for decentralized exchange and transformation of semi-structured data, that aims to holistically address many shortcomings of the modern data management systems and workflows.
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Security
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open-data-fabric has a low active ecosystem.
It has 51 star(s) with 3 fork(s). There are 7 watchers for this library.
It had no major release in the last 6 months.
There are 5 open issues and 7 have been closed. On average issues are closed in 157 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of open-data-fabric is current.
Quality
open-data-fabric has 0 bugs and 0 code smells.
Security
open-data-fabric has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
open-data-fabric code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
open-data-fabric is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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open-data-fabric releases are not available. You will need to build from source code and install.
open-data-fabric has no build file. You will be need to create the build yourself to build the component from source.
It has 2362 lines of code, 161 functions and 12 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed open-data-fabric and discovered the below as its top functions. This is intended to give you an instant insight into open-data-fabric implemented functionality, and help decide if they suit your requirements.
- Render a schema file .
- Iterate through schema recursively
- Render an object definition .
- Convert source file to destination .
- Render a schema .
- Render a union type definition .
- Reads all schemas in the given directory .
- Iterate over the given schemas .
- Render a schema definition .
- Render the format .
Get all kandi verified functions for this library.
open-data-fabric Key Features
No Key Features are available at this moment for open-data-fabric.
open-data-fabric Examples and Code Snippets
No Code Snippets are available at this moment for open-data-fabric.
Community Discussions
No Community Discussions are available at this moment for open-data-fabric.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install open-data-fabric
You can download it from GitHub.
You can use open-data-fabric 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 open-data-fabric 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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