deb-python-jsonschema | Debian package build scripts for python-jsonschema project

 by   openstack-archive Python Version: Current License: MIT

kandi X-RAY | deb-python-jsonschema Summary

kandi X-RAY | deb-python-jsonschema Summary

deb-python-jsonschema is a Python library. deb-python-jsonschema has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Debian package build scripts for python-jsonschema project

            kandi-support Support

              deb-python-jsonschema has a low active ecosystem.
              It has 7 star(s) with 0 fork(s). There are 5 watchers for this library.
              It had no major release in the last 6 months.
              deb-python-jsonschema has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of deb-python-jsonschema is current.

            kandi-Quality Quality

              deb-python-jsonschema has no bugs reported.

            kandi-Security Security

              deb-python-jsonschema has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              deb-python-jsonschema is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              deb-python-jsonschema releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed deb-python-jsonschema and discovered the below as its top functions. This is intended to give you an instant insight into deb-python-jsonschema implemented functionality, and help decide if they suit your requirements.
            • Create a validator
            • Instantiate a document from a schema
            • Removes the scope from the stack
            • Sets attributes
            • Run timeit
            • Perform the format validation
            • Run validators
            • Setup the application
            • Generate documentation for docutils
            • Fetch or load a spec from a file
            • Checks whether the given format matches the given format
            • Check if the instance is a valid format
            • Returns True if all elements in a container are unique
            • Convert an element
            • Raise ValidationError if required
            • Create a new validator
            • Return a named named name
            • Return a relevance function for the given path
            • Context manager
            • Parse command line arguments
            • Load a JSON Schema by name
            • Resolves a fragment from a URL
            • Validate any of the given schemas in the given schema
            • Resolve a reference
            • Raise ValidationError if type is not draft
            • Validate one of the given schemas
            Get all kandi verified functions for this library.

            deb-python-jsonschema Key Features

            No Key Features are available at this moment for deb-python-jsonschema.

            deb-python-jsonschema Examples and Code Snippets

            No Code Snippets are available at this moment for deb-python-jsonschema.

            Community Discussions

            No Community Discussions are available at this moment for deb-python-jsonschema.Refer to stack overflow page for discussions.

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install deb-python-jsonschema

            You can download it from GitHub.
            You can use deb-python-jsonschema 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.


            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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