GitHub Stats Pipeline is DOWN
Open
Nobody has claimed this yet.
healthchecks
- Dominant language
- Python
- Stars
- 2
- Forks
- 4
- PR merge metrics
- No merged PRs in 30d
Description
The check GitHub Stats Pipeline is DOWN (received a failure signal).
Project: Stats Page
Tags: stats github
Period: 1 day
Total Pings: 988
Last Ping: Exit status 1, 2 seconds ago
Last Ping Body:
Downloading cpython-3.10.21-linux-x86_64-gnu (download) (28.1MiB)
Downloaded cpython-3.10.21-linux-x86_64-gnu (download)
Using CPython 3.10.21
Creating virtual environment at: .venv
Building nf-core-stats @ file:///home/runner/work/stats/stats/pipeline
Downloading setuptools (1.0MiB)
Downloading pip (1.7MiB)
Downloading pygments (1.2MiB)
Downloading botocore (14.6MiB)
Downloading dlt (1.1MiB)
Downloading duckdb (19.5MiB)
Downloading pyarrow (45.3MiB)
Downloaded pygments
Downloaded duckdb
Built nf-core-stats @ file:///home/runner/work/stats/stats/pipeline
Downloaded setuptools
Downloaded pip
Downloaded dlt
Downloaded pyarrow
Downloaded botocore
Installed 63 packages in 126ms
2026-08-19 18:31:00,181 - INFO - Starting GitHub data pipeline...
2026-08-19 18:31:00,194 - INFO - Checking initial rate limit status...
2026-08-19 18:31:00,284 - INFO - Rate limit: 4970/5000 remaining (resets at 2026-08-19 18:56:00+00:00)
2026-08-19 18:31:00,322 - ERROR - Rate limited (403). resour
[truncated]
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the GitHub data pipeline run and obtain the complete failure output after the rate-limit error. Trace how GitHub API rate-limit responses are handled and verify a successful Stats Page run and check recovery. Done means the health check receives a success signal.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- github, python
- Domain
- api, data-engineering
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100