# datasets/covid-19

Novel Coronavirus 2019 time series data on cases

Repository: https://github.com/datasets/covid-19
Canonical: https://ross.abutalabs.com/products/datasets-covid-19
Homepage: https://datahub.io/core/covid-19
Language: Python
License Family: other
Topics: coronavirus, coronavirus-disease, covid, datapackage, data-package, covid-19, covid19-data, dataset
Last push: 2026-03-24T23:16:50+00:00

## Health v2 (maintenance only)
Score: 65/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 73, release rhythm 35, longevity 100
- inputs: {"age_days": 2370, "days_push": 162, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1164, forks 596 (observed 2026-08-28T04:03:49.830577+00:00)

## What it is
A cleaned and normalized time series dataset of COVID-19 confirmed cases, deaths, and recoveries, disaggregated by country and subregion, sourced from Johns Hopkins CSSE and packaged by DataHub. Data is provided in CSV (and JSON) formats with stable download URLs and daily updates.

## Use cases
- download covid-19 case time series data as csv
- analyze coronavirus cases and deaths by country
- get cleaned covid data for a data science project
- track pandemic recovery numbers over time
- fetch covid-19 data via api in a script
- compare us state-level covid confirmed cases

## When to choose
- you need pre-cleaned, normalized COVID-19 time series in CSV or JSON
- you want stable URLs for programmatic or AI-agent access
- you need country, US state, or worldwide aggregate views of the pandemic data

## When to avoid
- you need real-time or current pandemic data
- you require raw unprocessed source data
- you need data beyond the COVID-19 pandemic period

## Facets
- artifact type: dataset
- maturity: maintenance
- function: data-science, etl
- domain: data-science, healthcare, analytics, time-series
- platform: cross-platform, python
- tags: covid-19, time-series, csv, data-package, public-health, epidemiology, johns-hopkins

## Member repositories
- datasets/covid-19 (main) score 65

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:49.830577+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:29:40.157999+00:00, confidence not recorded.
  - readme: https://github.com/datasets/covid-19 (fetched 2026-08-28T04:03:49.830577+00:00, sha 3ffbdc373ed4)
  - homepage: https://datahub.io/core/covid-19 (fetched 2026-08-29T12:35:40.176443+00:00, sha 7b3677cad3f9)
  - site_page: https://datahub.io/docs (fetched 2026-08-29T12:35:40.179472+00:00, sha 34447a6fde43)
  - site_page: https://datahub.io/docs/terms-of-service (fetched 2026-08-29T12:35:40.181097+00:00, sha 779bc779c7d0)
- Data as of 2026-08-30T08:39:29.467469+00:00.