Cassandra vs ScyllaDB: source lines of code compared

This page compares the source lines of code (SLOC) of apache/cassandra and scylladb/scylladb using cached OctoCounts reports. Code size is not code quality: a larger count only means more source material, not a better or worse project.

As of 2026-09-05, apache/cassandra contains 807,208 total lines (535,394 code) across 3,533 files, while scylladb/scylladb contains 525,137 total lines (389,563 code) across 1,924 files as of 2026-08-26. apache/cassandra is about 1.4x the size of scylladb/scylladb by code lines. Code size is not code quality: a larger count only means more source material, not a better or worse project.

Metricapache/cassandrascylladb/scylladb
Files3,5331,924
Total lines807,208525,137
Code lines535,394389,563
Comment lines172,77268,820
Blank lines99,04266,754
Languages counted1212

Top languages in apache/cassandra: Java (95.2% of code), SVG (2.1% of code), Python (1.5% of code). Top languages in scylladb/scylladb: C++ (61.3% of code), C++ Header (27.8% of code), Python (4.0% of code). Python appears in both top language lists; Java, SVG, XML, Shell appear only in apache/cassandra's top languages; C++, C++ Header, JSON, C Header appear only in scylladb/scylladb's top languages.

Methodology: both counts come from cached OctoCounts reports generated with tokei. apache/cassandra was counted at ref e4d83b3bb74c4c9be3c8e5e1119709d1aa585eb7 (commit e4d83b3bb74c) on 2026-09-05; scylladb/scylladb was counted at ref master (commit ed37251ab8e1) on 2026-08-26. See the counting methodology for ignored directories and analysis options.

Evidence and next steps:

Note: code size is not code quality. OctoCounts only reports reproducible line counts and makes no claim that either project is better.

Compare FAQ

Which has more lines of code, apache/cassandra or scylladb/scylladb?

apache/cassandra has more code: 535,394 code lines versus 389,563 for scylladb/scylladb, about 1.4x as much, based on cached OctoCounts reports as of 2026-09-05.

Does more source lines of code mean more complexity?

Not necessarily. SLOC measures size, not complexity, quality, or maintainability. A larger codebase can mean more features, more generated or vendored code, more verbose language idioms, or more tests — none of which imply the code is harder to work with. Use SLOC to gauge the scale of what you'd be reading or maintaining, not as a quality signal for apache/cassandra, scylladb/scylladb, or any repository.

How is this comparison calculated?

Methodology: both counts come from cached OctoCounts reports generated with tokei. apache/cassandra was counted at ref e4d83b3bb74c4c9be3c8e5e1119709d1aa585eb7 (commit e4d83b3bb74c) on 2026-09-05; scylladb/scylladb was counted at ref master (commit ed37251ab8e1) on 2026-08-26. See the counting methodology for ignored directories and analysis options.

Can I compare a different branch, tag, or commit?

Yes. This page shows the default branch for each repository. Use the interactive comparison tool to pick any public GitHub repository, branch, tag, or commit SHA for both sides and get a fresh side-by-side report.