http-apis / documentation-hydrus Goto Github PK
View Code? Open in Web Editor NEWSphinx documentation, for deploying in readthedocs.org
License: MIT License
Sphinx documentation, for deploying in readthedocs.org
License: MIT License
Provide a hook to parse and publish the content in https://github.com/HTTP-APIs/hydra-ecosystem-wiki alongside with hydrus API in readthedocs.
Sphinx documentation has to be rebuild and republished
README.md
should provide information about how the repo has been developed and which design choices have been made.
The JSON schema draft seems to be takjng momentum.
I think this is pretty relevant to what we are doing: http://json-schema.org
There is also a wide array of tools like: https://github.com/aromanovich/jsl
Python DSL for describing JSON schemas http://jsl.readthedocs.org/
For hyperschemas https://github.com/core-api/python-jsonhyperschema-codec
Investigate possible synergies.
URSA is a very interesting C# library that implements HYDRA:
Having somebody that can get into the repository and documentation and write a brief report about the interesting features we can use in hydrus
would be really helpful.
Instead of having separate repos for each project, we should add all documentation in the doc/
path into the hydrus repo. This way we build documentation directly with hydrus.
We should also implement the same things for other repos that need documentation.
As hydrus
define a precise workflow like:
hydrus
parser will parse this JSON into a HYDRA API documentation (example here)hydrus
deploys the Web server byt parsing the outcome at 2.hydrus
serves the APIWe need an extensive document that improve the current WIKI by adding a detailed description of this workflow, with references to RDF codebase and Hydra draft.
References:
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.