Skip to content

airscholar/RealtimeStreamingEngineering

View on GitHub ↗Related repositories →

This project serves as a comprehensive guide to building an end-to-end data engineering pipeline using TCP/IP Socket, Apache Spark, OpenAI LLM, Kafka and Elasticsearch. It covers each stage from data acquisition, processing, sentiment analysis with ChatGPT, production to kafka topic and connection to elasticsearch.

active 2023-11-242026-06-18 (UTC)

Complete coverage26,421 / 26,421 hourly files (100%) · 2 absent upstream2023-08-152026-08-19 (UTC)
Events
77
Pushes
0
Pull requests
2
Issues
1
Stars
40
Forks
33

Activity over time

Daily event counts in the loaded window

Line chart, 938 days from 2023-11-24 to 2026-06-18. Pushes: 0 total, peak 0 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 1 total, peak 1 in a day. Comments: 1 total, peak 1 in a day. Stars: 40 total, peak 3 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
Rafavermar2020
Aremstrom1000
elhadjaoui1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#2elhadjaoui2024-11-19 21:17
    The system cannot find the path specified.
  • Issue#2Aremstrom2024-07-23 11:06
    The system cannot find the path specified.
  • Pull request#1Rafavermar2024-01-24 18:05
  • Pull request#1Rafavermar2024-01-04 21:43

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 40 stars here means stars gained during the window, not the repo's star count.