đĨ Cannlytics is a suite of tools that you can use to create, wrangle, and analyze cannabis data. We believe that people in the cannabis space would benefit from organized, decentralized, and accessible data. This repository contains each core component of Cannlytics and detailed instructions on how to build, develop, publish, and use each tool. You can find more information about each tool below:
| Component | Status | Production URL |
|---|---|---|
| đĻž Cannlytics AI | đĄ | Under Development |
| đĄ Cannlytics API | đĸ | https://cannlytics.com/api |
| đą Cannlytics App | đĄ | In Planning |
| đšī¸ Cannlytics Console | đĸ | https://console.cannlytics.com |
| đ Cannlytics Documentation | đĸ | https://docs.cannlytics.com |
| đ Cannlytics Python SDK | đĸ | https://pypi.org/project/cannlytics/ |
| đ Cannlytics Website | đĸ | https://cannlytics.com |
đ§âđ Cannabis Data Science
Do you want to join a team of data scientists from around the world who are advancing cannabis science one đ§Ŧ molecule at a time? Come to the Cannabis Data Science Meetup Group! At the meetup, you will be introduced to many useful notes, notebooks, and video tutorials to help you get, wrangle, and analyze cannabis data with the best of them. Join the fun every Wednesday at 8:30am PST / 9:30am MT / 10:30am CDT / 11:30am EST / your time. You are always welcome to use the code, watch the videos, and make contributions of your own! Please tune in đ
đ¨âđ Contributing
Contributions are always welcome! You are encouraged to submit issues, functionality, and features that you want to be addressed. See the contributing guide to get started. Anyone is welcome to contribute anything. Currently, the project could greatly benefit from:
- đ¨ Art;
- đ¨âđģ Code refactoring;
- đĄ General ideas for improvement;
- đˇ Tests;
- đī¸ User documentation;
- đš Example use cases.
đ Support
Cannlytics is made available with â¤ī¸ and your good will. Please consider making a contribution to help us continue crafting useful tools and data pipelines for you. Thank you đ
| Provider | Link |
|---|---|
| đ OpenCollective | https://opencollective.com/cannlytics-company/donate |
| đ¸ PayPal Donation | https://paypal.me/cannlytics |
| đĩ Venmo Donation | https://www.venmo.com/u/cannlytics |
| đĒ Bitcoin donation address | 34CoUcAFprRnLnDTHt6FKMjZyvKvQHb6c6 |
| ⥠Ethereum donation address | cannlytics.eth |
đī¸ License
Copyright (c) 2020-2023 Cannlytics and the Cannabis Data Science Team
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
Please cite the following if you use the code examples in your research:
@misc{cannlytics2023,
title={Cannabis Data Science},
author={Skeate, Keegan and Rice, Charles and O'Sullivan-Sutherland, Candace},
journal={https://github.com/cannlytics/cannabis-data-science},
year={2023}
}