Python interface for National Bureau of Statistics of China (NBSC) API
active 2025-08-15 → 2026-06-06 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 296 days from 2025-08-15 to 2026-06-06. Pushes: 7 total, peak 2 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 7 total, peak 5 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| AAARRRT | 6 | 4 | 0 | 2 |
| chilango74 | 6 | 3 | 0 | 2 |
| atl-pr4sh | 3 | 0 | 0 | 3 |
Recent activity
Latest issues, pull requests and releases
- Issue#6chilango742026-06-06 10:48calculate_monthly_from_annual crashes with KeyError on NBS data gaps
- Issue comment#2AAARRRT2025-12-17 14:36add main data functions short description to README
- Issue comment#2AAARRRT2025-10-21 15:17add main data functions short description to README
- Issue comment#2atl-pr4sh2025-09-18 13:07add main data functions short description to README
- Issue comment#2chilango742025-09-18 10:50add main data functions short description to README
- Issue comment#2atl-pr4sh2025-09-18 09:58add main data functions short description to README
- Issue comment#2atl-pr4sh2025-09-18 09:29add main data functions short description to README
- Issue comment#2chilango742025-09-18 08:56add main data functions short description to README
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.