I made a tool myself [0] with slightly different tools. It answers two questions: Who are the relevant coders and what parts of the code are the hotspots? Here

I made a tool myself [0] with slightly different tools. It answers two questions: Who are the relevant coders and what parts of the code are the hotspots? Here is an example run on sqlite: Top Committers (of 28 authors): D. Richard Hipp 13359 commits during 19 years until 2019-09-17 Dan Kennedy 5813 commits during 17 years until 2019-09-16 together these authors have 80+% of the commits (19172/20987) Files with most commits: 1143 commits: src/sqlite.h.in during 19 years until 2019-09-16 1331 commits: src/where.c during 19 years until 2019-09-03 1360 commits: src/btree.c during 18 years until 2019-08-24 1650 commits: src/vdbe.c during 19 years until 2019-09-16 1893 commits: src/sqliteInt.h during 19 years until 2019-09-14 Files with most authors: 11 authors: src/main.c 11 authors: src/sqliteInt.h 12 authors: configure.ac 12 authors: src/shell.c 15 authors: Makefile.in By file extension: .test: 1333 files .c: 379 files together these make up 80+% of the files (1712/2138) [0] https://github.com/qznc/dot/blob/master/bin/git-overview https://github.com/qznc/dot/blob/master/bin/git-overview