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ContextualWisdomLab/RankWeave

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Dependency-free, store-agnostic retrieval fusion, evaluation, statistical comparison, tuning, TREC benchmarking, and auditable CLI workflows for Python 3.10+. RankWeave combines lexical, dense, learned-sparse, graph, and other retrieval channels into deterministic rankings. It evaluates rankings, compares paired systems, controls family-wise error across candidate experiments, tunes fixed weighted-RRF policies, reads standard TREC artifacts, and exposes both pairwise and candidate-family compar

active 2026-07-11 → 2026-10-02 (UTC)

Complete coverage27,565 / 27,565 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-06 (UTC)
Events
81
Pushes
60
Pull requests
0
Issues
2
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 84 days from 2026-07-11 to 2026-10-02. Pushes: 60 total, peak 24 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 2 total, peak 1 in a day. Comments: 6 total, peak 2 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

Recent activity

Latest issues, pull requests and releases

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.