oeps
importedsoftware/oeps
Opioid Environment Policy Scan - data explorer and backend management
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Software & Systems
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- active
- Maturity
- deployed
- Organization
- healthyregions
- Country
- unknown
- Homepage
- oeps.healthyregions.org
- Repository
- github.com/healthyregions/oeps
- Documentation
- unknown
- Tags
- data · data-visualization · public-health
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- nchsdatadata · public-health
NCHS data: public use files (PUFs) from the National Center for Health Statistics (NCHS)
- Puerto_Rico_Arbovirus_Datadata · public-health
Arbovirus and dengue data from Puerto Rico
- Healthcare-Analytics-Dashboarddata-visualization · public-health
This dashboard provides a comprehensive analysis of chronic disease prevalence across the United States, focusing on diabetes, obesity, heart disease, and physical inactivity. It demonstrates the…
- bigdata-education-nutritiondata-visualization · public-health
📊 Big Data analysis project exploring the relationship between educational attainment and nutrition quality using Hadoop, Hive, and Zeppelin on a US-wide health dataset.
- suicidiosdata-visualization · public-health
Scripts y dataset para analizar las defunciones por suicidio en México utilizando los microdatos del INEGI
- castoredc_apidata
Python Wrapper for Castor EDC API
- api.github.com/repos/healthyregions/oepsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2026-08-05, 3 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/16.json→ .entries["oeps"]
Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.