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OLake - Fastest Databases, Kafka & S3 Replication to Apache Iceberg with Table optimization (Called OLake Fusion). ⚡ Efficient, quick and scalable data ingestion for real-time analytics. Supported sources : Postgres, MongoDB, MySQL, Oracle, MSSql, DB2, Kafka, S3.

active 2024-11-04 → 2026-10-29 (UTC)

Complete coverage28,137 / 28,137 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-30 (UTC)
Events
9.9K
Pushes
2.3K
Pull requests
631
Issues
363
Stars
1.1K
Forks
133

Activity over time

Daily event counts in the loaded window

Line chart, 725 days from 2024-11-04 to 2026-10-29. Pushes: 2,297 total, peak 37 in a day. Pull requests: 631 total, peak 17 in a day. Issues: 363 total, peak 15 in a day. Comments: 3,036 total, peak 46 in a day. Stars: 1,149 total, peak 177 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
hash-data2.1K600173791
shubham19may1K190109344
ImDoubD-datazip73228844220
vaibhav-datazip65016428279
vishalm050952921123164
vikaxsh43117422153
vikash3903061923445
saksham-datazip237107670
badalprasadsingh2211061356
zriyanshdz133351151
nayanj981326382
tanishaAtDatazip13251734
github-actions[bot]1280024
piyushdatazip108681818
mrmagicpotato0078201451
manish-singh-bisht620239
CLAassistant550055
schitizsharma5315720
mihir-datazip472209
siiddhantt440130

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1,149 stars here means stars gained during the window, not the repo's star count.