MOmooreds·Jan 13, 2023Submission
A GitHub Action to overcome the limitation of GitHub's built-in traffic stats
1 points · Open discussionjgehrcke
github-repo-stats
Python2022–2023
jgehrcke / github-repo-stats
github-repo-stats
GitHub Action for advanced repository traffic analysis and reporting
2Distinct people
2Mentions
0Explicit recommenders
392GitHub stars
What to know before exploring
What it is
GitHub Action for advanced repository traffic analysis and reporting
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
No recommendation phrase was found in the indexed comments.
No classified warning is attached to this page. Read the discussions before treating silence as approval.
Also in these discussions
No other repository is repeatedly linked in the same discussions.
This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by week2 dated mentions
Observed mentions: 2022-07-13 12:23:53 UTC to 2023-01-13 01:41:19 UTC. Weeks start Monday, UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| Jul 11 | 2022-07-11 00:00:00 UTC | 2022-07-18 00:00:00 UTC | 1 | 1 | 0 |
| Jul 18 | 2022-07-18 00:00:00 UTC | 2022-07-25 00:00:00 UTC | 0 | 0 | 0 |
| Jul 25 | 2022-07-25 00:00:00 UTC | 2022-08-01 00:00:00 UTC | 0 | 0 | 0 |
| Aug 1 | 2022-08-01 00:00:00 UTC | 2022-08-08 00:00:00 UTC | 0 | 0 | 0 |
| Aug 8 | 2022-08-08 00:00:00 UTC | 2022-08-15 00:00:00 UTC | 0 | 0 | 0 |
| Aug 15 | 2022-08-15 00:00:00 UTC | 2022-08-22 00:00:00 UTC | 0 | 0 | 0 |
| Aug 22 | 2022-08-22 00:00:00 UTC | 2022-08-29 00:00:00 UTC | 0 | 0 | 0 |
| Aug 29 | 2022-08-29 00:00:00 UTC | 2022-09-05 00:00:00 UTC | 0 | 0 | 0 |
| Sep 5 | 2022-09-05 00:00:00 UTC | 2022-09-12 00:00:00 UTC | 0 | 0 | 0 |
| Sep 12 | 2022-09-12 00:00:00 UTC | 2022-09-19 00:00:00 UTC | 0 | 0 | 0 |
| Sep 19 | 2022-09-19 00:00:00 UTC | 2022-09-26 00:00:00 UTC | 0 | 0 | 0 |
| Sep 26 | 2022-09-26 00:00:00 UTC | 2022-10-03 00:00:00 UTC | 0 | 0 | 0 |
| Oct 3 | 2022-10-03 00:00:00 UTC | 2022-10-10 00:00:00 UTC | 0 | 0 | 0 |
| Oct 10 | 2022-10-10 00:00:00 UTC | 2022-10-17 00:00:00 UTC | 0 | 0 | 0 |
| Oct 17 | 2022-10-17 00:00:00 UTC | 2022-10-24 00:00:00 UTC | 0 | 0 | 0 |
| Oct 24 | 2022-10-24 00:00:00 UTC | 2022-10-31 00:00:00 UTC | 0 | 0 | 0 |
| Oct 31 | 2022-10-31 00:00:00 UTC | 2022-11-07 00:00:00 UTC | 0 | 0 | 0 |
| Nov 7 | 2022-11-07 00:00:00 UTC | 2022-11-14 00:00:00 UTC | 0 | 0 | 0 |
| Nov 14 | 2022-11-14 00:00:00 UTC | 2022-11-21 00:00:00 UTC | 0 | 0 | 0 |
| Nov 21 | 2022-11-21 00:00:00 UTC | 2022-11-28 00:00:00 UTC | 0 | 0 | 0 |
| Nov 28 | 2022-11-28 00:00:00 UTC | 2022-12-05 00:00:00 UTC | 0 | 0 | 0 |
| Dec 5 | 2022-12-05 00:00:00 UTC | 2022-12-12 00:00:00 UTC | 0 | 0 | 0 |
| Dec 12 | 2022-12-12 00:00:00 UTC | 2022-12-19 00:00:00 UTC | 0 | 0 | 0 |
| Dec 19 | 2022-12-19 00:00:00 UTC | 2022-12-26 00:00:00 UTC | 0 | 0 | 0 |
| Dec 26 | 2022-12-26 00:00:00 UTC | 2023-01-02 00:00:00 UTC | 0 | 0 | 0 |
| Jan 2 | 2023-01-02 00:00:00 UTC | 2023-01-09 00:00:00 UTC | 0 | 0 | 0 |
| Jan 9 | 2023-01-09 00:00:00 UTC | 2023-01-16 00:00:00 UTC | 1 | 1 | 0 |
What Hacker News says
2 sourcesShow HN: GitHub Action for repository traffic reporting
Bonjour! I’d like to share a rather small project which I believe may be of use to some of you.
https://github.com/jgehrcke/github-repo-stats is a GitHub Action that I started building about 1.5 years ago, to overcome the 14-day limitation of the visitor/clone plots shown in GitHub's "Insights" tab.
Demo report: https://jgehrcke.github.io/ghrs-test/jgehrcke/covid-19-germa...
The project has some seemingly happy users and I believe we managed to address some of the more embarrassing bugs. That is, I believe this project is ready for a new wave of feedback. Which is where you come in, hopefully :-).
When I researched the solution space back then I found Actions that relied on an external system to push data to (like S3). I thought that it’s simpler to keep the time series data in the repository that the GitHub Action runs in. Also, I have
Read the rest
opinions about data analysis and visualization and so I wanted to take full control of that. The goal from the start was to generate a self-contained report artifact on a daily basis (with good characteristics in terms of sharing and archiving), and to also persist that via git.
Quick technical description: this Action runs once per day. During each run, it
- fetches traffic stats (visitor count, etc – for the last 14 days) via GitHub’s HTTP API.
- persists new data points (in the GitHub git repository that this Action runs in!).
- generates a minimal HTML and PDF report, both of which are also persisted in the repo that this Action runs in.
The HTML/PDF documents can be exposed right away via GitHub pages. The PDF report contains vector graphics so you can zoom in much more than necessary (and if your boss needs a print then this might look good enough). The plots in the report are meant to show a long time frame. For example, here you can see for the last 1.5 years how the daily visitor count (and other metrics) evolved for jgehrcke/github-repo-stats:
https://jgehrcke.github.io/ghrs-test/jgehrcke/github-repo-st...
What I find really cool is that there are users who run this Action in a certain repository dedicated for reporting, for many target repositories. How to do that is described in the main README in the section 'Tracking multiple repositories ...'.
Interesting things I learned about through this project:
- Vega/Altair for plotting
- https://github.com/bats-core/bats-core for CLI testing
- GitHub Actions: how to build them, how to do release management. I also learned that testing a GitHub Action is hard, especially given the heterogeneous set of environments that it might run in.
If you want to try this out then besides the main README a good place to start is this tutorial: https://github.com/jgehrcke/github-repo-stats/wiki/Tutorial
All of this was built rather pragmatically, and I want to keep it that way. There is a plethora of smaller and bigger things across all parts that are generally worth improving (docs, plots, architecture, cleanup), but before deciding what to touch next I'd love to hear your ideas. Thanks!