Advanced Statistics and Cannabis Data
Advanced Statistics and Cannabis Data
Automated statistics and the finest curated data for your cannabis OP to push the bounds of what is possible. Open-source, decentralized, and made with 💖!
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Predicting Effects + Aromas Part 2: Distinguishing Type and Strain Effects | Cannabis Data Science #68
Walk, then run. We clearly outline our theory, the statistical models that we will use, and the intricacies of the data as we prepare to predict effects and aromas …
Plant Patents: Classifying Cultivars with Terpenes | Cannabis Data Science #67
There's been noise that lab results and strains don't mean anything. We push back hard as lab results are the key mechanism that top cultivators and lawyers are usi…
Predicting Effects + Aromas Part 1: Preparing & Training Prediction Models | Cannabis Data Science #66
Now's better than never, we release the SkunkFx! This is where things get interesting. The Cannabis Data Science Team makes it abundantly clear with the one-and-onl…
Fertilizer Prices and the US Hemp Canopy | Cannabis Data Science #65
Every piece of the puzzle must be filled in, so we diligently collect all public fertilizer price and hemp yield, harvest, and acreage data under the sun. Please en…
Fertilizers: Costs, Benefits, and Plant Hardiness | Cannabis Data Science #64
What are Nitrogen (N), Phosphorus (P), and Potassium (K) and why should a cannabis cultivator care? This is the exact topic of the day. We follow the money and conn…
Cannabis Consumption: Estimating Consumer Demand | Cannabis Data Science #63
Someone call a plumber! The data dam just burst! The Cannabis Data Science team is all hands on deck serving you up the holy grail of cannabis data: cannabis use ra…
Artificial Intelligence: Overcoming Asymmetric Information | Cannabis Data Science #62
What is AI? On the holiest of cannabis days, the Cannabis Data Science team cooks up an artificial intelligence to be a curator and custodian of cannabis data to re…
Data Curation: Helping Consumers Access Pesticide Data | Cannabis Data Science #61
Because Washington State makes cannabis traceability data available to the public, data scientists can calculate statistics to help consumers. As a proof of concept…
Consumer Choice | Cannabis Data Science #60
How will inflation affect the proportion of people who use cannabis and the quantity of cannabis consumed by people who consume cannabis? These are questions that t…
Why Cannlytics?
Smart Integrations
We believe that everyone benefits when people are able to study and tinker with their software. With the freedom provided by Cannlytics, users control their software and what it does for them.
Analysis Tailored
Cannlytics provides a user-friendly interface to quickly receive samples, perform analyses, collect and review results, and publish certificates of analysis (CoAs). There are also built in logistics, CRM (client relationship management), inventory management, and invoicing tools.
Community Driven
Built by scientist for scientists. Cannlytics empowers you with control over the development process, resources, and decision making authority. We believe that the Cannlytics community is the best judge of how Cannlytics can be improved, so, we have entrusted the Cannlytics source code with you.
How can I use Cannlytics?
The Cannlytics Console
If you need a hosted solution, then you can take advantage of the ready to use Cannlytics console for hosting, analysis, and data and file storage. You can manage your lab results and provide your clients with a simple, yet complete, client portal.
The Cannlytics API
Do you have a technical staff? Than you can utilize the Cannlytics API to programmatically manage your operations and interface with your data. You have all of your data and the power of all laboratory software at your finger tips.
{
analyses: [...],
lab_id: "cann-do",
sample_name: "Super Easy",
results: [...],
}
Plug & Play
Once you have your copy of Cannlytics, you can pick and choose engine components as you need them. Perhaps you need an addition to your existing software. Simply grab what you need and you're free to use it.
from cannlytics import metrc
# Initalize Metrc.
track = metrc.Client("vendor", "user")
# Labs can post lab results.
track.post_lab_results([{...}, {...}])
# You can get your lab results!
lab_results = track.get_lab_results(uid="tag")
Cannlytics Integrates with Metrc!
Cannlytics is a validated Metrc integrator in the following states. If you need assistance, a fully-managed solution, or help automating your interactions with Metrc, then you can sign up for support →
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California
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Louisiana
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Massachusetts
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Maryland
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Michigan
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Montana
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Ohio
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Oklahoma
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Oregon
You can also utilize the Metrc interface in the Cannlytics Python package
Ready to get started?
In addition to awesome software, Cannlytics is an open-source software support business. If you need assistance or desire a fully-managed solution, then you can find a support option suited to you →
