Skip to content

BaseMax/DataProcessingApacheKafka

View on GitHub ↗Related repositories →

Welcome to the Real-time Data Processing using Apache Kafka project! In this project, we will explore the capabilities of Apache Kafka, a powerful and distributed streaming platform, to build a real-time data processing system. Whether you're a beginner or have some experience with Kafka.

active 2025-11-202026-07-10 (UTC)

Partial coverage12,927 / 15,078 hourly files (86%) · 2 absent upstream · 2,146 failed, retryable2024-11-202026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
14
Pushes
2
Pull requests
5
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 233 days from 2025-11-20 to 2026-07-10. Pushes: 2 total, peak 1 in a day. Pull requests: 5 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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

ContributorContributionsPushesPRsComments
dependabot[bot]5050
BaseMax2200

Recent activity

Latest issues, pull requests and releases

  • Pull request#15dependabot[bot]2026-04-23 01:09
  • Pull request#15dependabot[bot]2026-04-23 01:09
  • Pull request#14dependabot[bot]2026-04-16 22:04
  • Pull request#13dependabot[bot]2025-11-20 04:08
  • Pull request#12dependabot[bot]2025-11-20 01:35

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.