Skip to main content

A library for easy mapping of mathematical specifications.

Project description

MSML

What is the Mathematical Specification Mapping Library (MSML)?

MSML is a library for standardizing the creation of mathematical specifications as JSON objects as well as aiding in the automation of report and visualization creation from these standardized JSON.

Why MSML?

Through lived experience of writing specs, it was discovered that the process can be very difficult. It is especially tough when coordinating between groups of stakeholders. For example, if a variable name that is referenced in multiple charts and pieces of the spec is changed, someone needs to go through to both find and revise the name.

As well, there are times when you want a fully zoomed out view, and other times where you want a view on only a specific few pieces of the system. Without MSML, one would have to either duplicate work to show the system in two ways, or decide which way is the better representation. MSML allows for on the fly writing of reports multiple different ways depending on what is important to highlight.

What are some of the solutions offered?

  • Automation: Automate writing of a specification
  • Standardization: Ensure standardization across teams working to spec out a system
  • Flexibility: Allow for creating views on the fly and in multiple ways depending on what stakeholders find important
  • Trackable: Keep a repository of a JSON file to track changes to the spec with the same enhancements git provides for projects already

How does MSML work?

graph LR
A[JSON Object \n\n Each spec has a repo for tracking changes \n Must conform to the json specification \n Defines all aspects of the spec including blocks, spaces and actions] -->B[MSML Object \n\n JSON file and parsed, with validations and mappings along the way \n Can show different views on the fly]
    B --> C[Report Outputs \n\n Automatically build reports for the full spec or subviews \n Example: all blocks with an effect on variable XYZ]

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

math_spec_mapping-0.1.1.tar.gz (16.4 kB view details)

Uploaded Source

Built Distribution

math_spec_mapping-0.1.1-py3-none-any.whl (26.9 kB view details)

Uploaded Python 3

File details

Details for the file math_spec_mapping-0.1.1.tar.gz.

File metadata

  • Download URL: math_spec_mapping-0.1.1.tar.gz
  • Upload date:
  • Size: 16.4 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.12

File hashes

Hashes for math_spec_mapping-0.1.1.tar.gz
Algorithm Hash digest
SHA256 152d506dd027d82d28524046d66143bf17a179b0b560e243864097161c58eaa9
MD5 d17e4b38ab0bf9999e6c84ed676bfabf
BLAKE2b-256 f5db67d25bb5a179054ed9094f3401c294700b3a1778ddc31664e2c07f5d894b

See more details on using hashes here.

File details

Details for the file math_spec_mapping-0.1.1-py3-none-any.whl.

File metadata

File hashes

Hashes for math_spec_mapping-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 02831f90425f88f24c6febca1fb9232f57576fafb151ea13ace7cd4ac74f6513
MD5 9bf38f3f6a0a43c9c9000490cee228d1
BLAKE2b-256 4d93bbfbb4bf00112eaf8e611ef1fe6857efbd946956a4204bdbdc15f2ce8c07

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page