CDES Python SDK
Type-safe Python library for working with cannabis strains, terpenes, cannabinoids, and COA data. Now with standard colors and therapeutic data.
pip install cdes What's New in v1.3.0
Major release with standard colors, therapeutic data, and reference data access.
Standard Colors
Consistent hex colors for all 30 terpenes and 9 cannabinoids for visualizations.
get_terpene_color("myrcene") Therapeutic Data
Medical conditions with ICD-10 codes, PubMed citations, and evidence levels.
TerpeneRef.get_therapeutics() Reference Data
Direct access to CDES master data with automatic updates.
from cdes.reference import ColorRef Core Features
Strains
Validated strain data with genetics, lineage, and terpene profiles.
Strain, StrainGenetics Terpenes
30 terpenes with CAS numbers, colors, and therapeutic data.
Terpene, TerpeneProfile Cannabinoids
9 cannabinoids with FDA status, scheduling, and effects.
Cannabinoid, CannabinoidProfile COA Data
Certificate of Analysis parsing with potency and safety results.
COAResult, PotencyResult Standard Colors
Hex colors for consistent data visualization across apps.
ColorRef, get_terpene_color() Validation
Pydantic models with automatic type validation and serialization.
model_validate(), model_dump() Standard Color System
Consistent colors for terpenes and cannabinoids across all CDES-compliant applications.
Terpene Colors (Sample)
Cannabinoid Colors (Sample)
Quick Examples
# Import the SDK
from cdes import Strain, Terpene, TerpeneProfile
from cdes.reference import ColorRef
# Get standard colors for visualization
myrcene_color = ColorRef.get_terpene_color("myrcene")
# Returns: "#E8F5E9"
thc_color = ColorRef.get_cannabinoid_color("THC")
# Returns: "#C8E6C9"
# Create a terpene profile
profile = TerpeneProfile(
dominant=Terpene(name="Myrcene", percentage=0.45),
secondary=[
Terpene(name="Limonene", percentage=0.23),
Terpene(name="Caryophyllene", percentage=0.18),
]
)
# Access therapeutic data
from cdes.reference import TerpeneRef
therapeutics = TerpeneRef.get_therapeutics("myrcene")
# Returns conditions, symptoms, evidence levels, PubMed citations
Built For
Dispensaries
Menu systems, POS integration, inventory
Labs
COA generation, LIMS integration
Analytics
Dashboards, visualizations, reporting
Healthcare
EHR integration via CDES-M
Start Building Today
Install the SDK and start working with standardized cannabis data in minutes.