Cannabis Data and Analytics
Cannabis Data and Analytics
And a suite of tools that you can use to wrangle, standardize, and analyze cannabis data.
How can you use Cannlytics?
Get cannabis data.
Abundant, rich, valuable cannabis data is so close, yet so far away! Cannlytics puts these vital data in your hands by finding, wrangling, standardizing, and cleanly returning the data to you.
The Cannlytics API
Do you have a technical staff? Of course you do, you're in the cannabis industry! Therefore you can use the Cannlytics API to programmatically manage your operations and interface with your data. You have all of your data at your finger tips, whenever and wherever you please.
{
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.
# pip install cannlytics
from cannlytics.metrc import Metrc
# Connect to Metrc.
track = Metrc("vendor-api-key", "user-api-key")
# Get your lab results!
results = track.get_lab_results(uid="tag")
The Cannabis Data Science Meetup
Hops Latent Viroid Detection and its Mysterious Origins | Cannabis Data Science #123
🦠Want to know more about Hops Latent Viroid? Today, the CEO, Angel Fernandez, PhD., and VP of R&D, Ajith Anand at 🧬MyFloraDNA, a biotech lab in California, join us …
Shining Light on Cannabis Sales with Statistics | Cannabis Data Science #122
☀️ This week we talk about the need for open data in the cannabis space because summary statistics can't be trusted and consumers benefit from actually being able t…
How Homegrow Helps Health-conscious Consumers | Cannabis Data Science #121
🧑🌾 Join the meetup where backyard botanists share tales of tall plants. See how homegrowers, in the face of adversity and defying all odds, can grow a plant pestic…
PBZ, It's easy as 1, 2, 3 - Why access to data matters | Cannabis Data Science #120
🧑🌾 Join the meetup as we uncover traces of a banned pesticide, PBZ, proliferating in the markets in Washington State. We advocate for open data, reasoning that acc…
Parsing COAs to get YOUR lab results | Cannabis Data Science #74
🥸 Unleash the power of your COAs. Behold the Cannabis Data Science Team demonstrate the art and science of parsing COAs. Meet CoADoc, an open-source AI-powered COA …
Peeling Back the Layers of Lab Results | Cannabis Data Science #115
🧄 Fearing public scrutiny, labs often cringe at the thought of their data under the lens of scientists from around the world. But what if the microscope is only as …
Parsing 15,000 COAs for Phenohunting | Cannabis Data Science #113
🐍 In our latest escapade, we gather the sources, methods, and data needed to parse 15,000+ COAs from Florida's top cannabis companies. 👨💻 You know, when your frie…
Snapping Up 50,000 Lab Results with Selenium | Cannabis Data Science #73
🐢 Ever see a Python-powered data-snapping turtle? We're diving into the lake of PSI Labs' test results, snapping up cannabis lab data with turtle-like tenacity. By …
Searching for Landrace Strains with Statistics | Cannabis Data Science #112
💰 Today we bag 125,000+ lab results from across the US, analyzing CA, CT, MA, MI, and WA state's most precious botanical data. And oh did we find treasures! Our que…
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 →
