DXY-COVID-19 resource

Health v2 · maintenance only

Flags: no_releases archived

Adoption not part of the score

1971 stars · 391 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A time-series data warehouse of COVID-19 (2019-nCoV) infection statistics for China, scraped from Dingxiangyuan (DXY) and published as CSV/JSON files via GitHub Releases. It includes a companion Python crawler and a public API, and is now in archived mode since upstream data sources stopped updating.

Use cases

• download covid-19 time series data for china
• get historical covid case counts by province and city
• csv covid data for statistical analysis in R or SPSS
• scrape dxy pneumonia data with python
• epidemiological research dataset for 2019-ncov
• visualize covid-19 infection trends over time

When to choose

• you need historical China COVID-19 statistics in ready-to-use CSV/JSON format
• you want data collected from Dingxiangyuan with daily snapshots preserved in releases
• you are doing retrospective research or teaching with pandemic time-series data

When to avoid

• you need current, real-time COVID-19 data - the project is archived and no longer collects new data
• you need cleaned or validated data - known anomalies and duplicates are left in place and require manual cleaning
• you need global (non-China) COVID-19 statistics

Facets

dataset · maturity maintenance

data-science etl web-scraping csv analytics data-science healthcare analytics time-series crawlers python cli cross-platform covid-19 epidemiology time-series-data china dxy public-health archived-data open-data

Member repositories

For agents

markdown · JSON · MCP: product_card(name="BlankerL/DXY-COVID-19-Crawler")