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jimmyg1997/ml-feature-engineering-fastapi-docker

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🤖 𝐃𝐨𝐜𝐤𝐞𝐫 𝐂𝐨𝐦𝐩𝐨𝐬𝐞 image with 𝐔𝐯𝐢𝐜𝐨𝐫𝐧 managed for a simple 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝘍𝘦𝘢𝘵𝘶𝘳𝘦 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳𝘪𝘯𝘨 𝐅𝐚𝐬𝐭𝐀𝐏𝐈 web application in Python 3.6 and above with multiple endpoints.

active 2024-06-12 → 2026-05-17 (UTC)

Complete coverage28,083 / 28,083 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-28 (UTC)
Events
4
Pushes
1
Pull requests
0
Issues
1
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 705 days from 2024-06-12 to 2026-05-17. Pushes: 1 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 1 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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

ContributorContributionsPushesPRsComments
Raffa-jarrl1000
jimmyg19971100

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.