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\n[![codecov](https://codecov.io/gh/aminekaabachi/lexy/branch/main/graph/badge.svg)](https://codecov.io/gh/aminekaabachi/lexy) \n[![PyPI](https://img.shields.io/pypi/v/lexy?style=flat-square)](https://pypi.org/project/lexy/)\n[![Downloads](https://img.shields.io/pypi/dm/lexy?style=flat-square)](https://pypi.org/project/lexy/)\n[![Docs](https://readthedocs.org/projects/lexy/badge/?version=latest\u0026style=flat-square)](https://lexy.readthedocs.io/en/latest/)\n[![GitHub](https://img.shields.io/github/license/aminekaabachi/lexy?style=flat-square)](https://github.com/aminekaabachi/lexy/blob/main/LICENSE)\n[![Discord](https://img.shields.io/discord/932410374500786217?logo=discord)](https://discord.gg/RJurAU3HYh)\n\n📙 ***Lexy** enables you to easily build and share data dictionaries to explain and document your data terminology using code.* The name \"Lexy\" is inspired from [lexicographer (/ˌlɛksɪˈkɒɡrəfə/)](https://www.lexico.com/definition/lexicographer), the person who compiles dictionaries.\n\n\n-----------------\n\nEasily document your data objects and generate beautiful data dictionaries:\n```python\nimport lexy as xy\nglossary = xy.Glossary()\n\n#Defining glossary terms\nglossary(\"name\", \"name of the student\")\nglossary(\"lastname\", \"lastname of the student\")\nglossary(\"age\", \"age of the student\", sensitivity=\"private\")\n\n#Using the glossary to define pandas dataframe\nimport pandas as pd\ndata = [['tom', 'bird', 10], ['nick', 'star', 15], ['juli', 'aston', 14]] \ndf = pd.DataFrame(data, columns = [glossary('name'), glossary('lastname'), glossary('age')]) \n\nxy.display_docs(glossary)\n```\n\n![Displayed docs](demo.png?raw=true \"lexy Documentation\")\n\n\n## Beloved Features\n\n**Lexy** will be soon ready for your use-case:\n\n- ✔ Clear standard way to define data dictionaries using code.\n- ✔ Tracking of glossary usage throughout the code.\n- ✔ Display / Generate of documentation pages for your data glossaries.\n- ✔ Detection of similarity between the terms and warning about possible data dictionary issues.\n- Validation of data dictionaries using defined templates and rules.\n- ✔ Import / export data dictionary from different formats (csv, excel, etc)\n- AI Suggesting of metadata based on name and definition (personal data, data types, ...)\n- Support for multiple backends (Memory, File, Redis, CloudFile...)\n- Integration with Apache Atlas and Azure Purview.\n- Publish data dictionary to lexyHub using the cli.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faminekaabachi%2Flexy","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Faminekaabachi%2Flexy","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Faminekaabachi%2Flexy/lists"}