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WASP is a framework to build complex real time big data applications. It relies on a kind of Kappa/Lambda architecture mainly leveraging Kafka and Spark. If you need to ingest huge amount of heterogeneous data and analyze them through complex pipelines, this is the framework for you.

active 2023-09-142026-06-23 (UTC)

Complete coverage27,134 / 27,136 hourly files (100%) · 2 absent upstream2023-08-152026-09-18 (UTC)
Events
133
Pushes
84
Pull requests
4
Issues
6
Stars
7
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 1014 days from 2023-09-14 to 2026-06-23. Pushes: 84 total, peak 7 in a day. Pull requests: 4 total, peak 2 in a day. Issues: 6 total, peak 2 in a day. Comments: 5 total, peak 4 in a day. Stars: 7 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
tmnd1991685725
renovate[bot]272700
DavideBelvedere4020

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 7 stars here means stars gained during the window, not the repo's star count.