A tool similar to cloc, sloccount and tokei. For counting physical the lines of code, blank lines, comment lines, and physical lines of source code in many programming languages.
Goal is to be the fastest code counter possible, but also perform COCOMO calculation like sloccount and to estimate code complexity similar to cyclomatic complexity calculators. In short one tool to rule them all and the one I wish I had before I wrote it.
Also it has a very short name which is easy to type scc.
Dual-licensed under MIT or the UNLICENSE.
Read all about how it came to be along with performance benchmarks https://boyter.org/posts/sloc-cloc-code/ or why use a code counting tool https://boyter.org/posts/why-count-lines-of-code/
For performance see the Performance section
Other similar projects,
- https://github.com/Aaronepower/tokei
- https://github.com/AlDanial/cloc
- https://www.dwheeler.com/sloccount/
- https://github.com/cgag/loc
- https://github.com/hhatto/gocloc/
- https://github.com/vmchale/polyglot
Interesting reading about about code counting about tokei, loc and polyglot
- https://www.reddit.com/r/rust/comments/59bm3t/a_fast_cloc_replacement_in_rust/
- https://www.reddit.com/r/rust/comments/82k9iy/loc_count_lines_of_code_quickly/
- http://blog.vmchale.com/article/polyglot-comparisons
Further reading about processing files on the disk performance
Why use scc?
- It is very fast and gets faster the more CPU you throw at it
- Accurate
- Works very well across multiple platforms without slowdown (Windows, Linux, macOS)
- Large language support
- Can ignore duplicate files
- Has complexity estimations
Why not use scc?
- Unable to tell the difference between Coq and Verilog (currently, if enough people raise a bug it will be resolved)
- You don't like Go for some reason
- You are working on a Linux system with less than 4 CPU cores and really need the fastest counter possible (use loc or polyglot)
Command line usage of scc is designed to be as simple as possible.
Full details can be found in scc --help.
$ scc --help
NAME:
scc - Sloc, Cloc and Code. Count lines of code in a directory with complexity estimation.
USAGE:
scc DIRECTORY
VERSION:
1.9.0
COMMANDS:
help, h Shows a list of commands or help for one command
GLOBAL OPTIONS:
--languages Print out supported languages and their extensions
--format value, -f value Set output format [possible values: tabular, wide, json, csv] (default: "tabular")
--output FILE, -o FILE Set output file if not set will print to stdout FILE
--pathblacklist value, --pbl value Which directories should be ignored as comma separated list (default: ".git,.hg,.svn")
--sort value, -s value Sort languages / files based on column [possible values: files, name, lines, blanks, code, comments, complexity] (default: "files")
--whitelist value, --wl value Restrict file extensions to just those provided as a comma separated list E.G. go,java,js
--files Set to specify you want to see the output for every file
--verbose, -v Set to enable verbose output
--duplicates, -d Set to check for and remove duplicate files from stats and output
--complexity, -c Set to skip complexity calculations note will be overridden if wide is set
--wide, -w Set to check produce more output such as complexity and code vs complexity ranking. Same as setting format to wide
--averagewage value, --aw value Set as integer to set the average wage used for basic COCOMO calculation (default: 56286)
--cocomo, --co Set to check remove COCOMO calculation output
--filegccount value, --fgc value How many files to parse before turning the GC on (default: 10000)
--binary Set to disable binary file detection
--debug Set to enable debug output
--trace Set to enable trace output, not recommended for multiple files
--help, -h show help
--version, --ver Print the version
Output should look something like the below for the redis project
$ scc .
-------------------------------------------------------------------------------
Language Files Lines Code Comments Blanks Complexity
-------------------------------------------------------------------------------
C 248 142725 102653 23885 16187 25729
C Header 199 27451 18485 5746 3220 1554
TCL 97 16356 13713 893 1750 1313
Shell 36 1103 772 215 116 86
Lua 20 525 387 70 68 65
Autoconf 18 10817 8467 1325 1025 950
gitignore 11 151 135 0 16 0
Makefile 9 1031 722 100 209 50
Markdown 8 1886 1363 0 523 0
Ruby 8 2423 1905 323 195 292
HTML 5 9658 8791 12 855 0
C++ 5 311 244 16 51 31
YAML 4 273 254 0 19 0
License 3 66 55 0 11 0
CSS 2 107 91 0 16 0
Python 2 219 160 19 40 67
Batch 1 28 26 0 2 3
m4 1 562 393 53 116 0
C++ Header 1 9 5 3 1 0
Smarty Template 1 44 43 0 1 5
Plain Text 1 23 16 0 7 0
-------------------------------------------------------------------------------
Total 680 215768 158680 32660 24428 30145
-------------------------------------------------------------------------------
Estimated Cost to Develop $5,522,600
Estimated Schedule Effort 29.370095 months
Estimated People Required 22.273729
-------------------------------------------------------------------------------
scc uses a small state machine in order to determine what state the code is when it reaches a newline \n. As such it is aware of and able to count
- Single Line Comments
- Multi Line Comments
- Strings
- Multi Line Strings
- Blank lines
Because of this it is able to accurately determine if a comment is in a string or is actually a comment.
It also attempts to count the complexity of code. This is done by checking for branching operations in the code. For example, each of the following for if switch while else || && != == if encountered in Java would increment that files complexity by one.
Generally scc will be very close to the runtime of tokei or faster than any other code counter out there. It is designed to scale to as many CPU's cores as you can provide.
However if you want greater performance and you have RAM to spare you can disable the garbage collector like the following on linux GOGC=-1 scc . which should speed things up considerably.
Benchmarks run on fresh 32 CPU Optimised Digital Ocean Virtual Machine 2018/08/12 all done using hyperfine with 3 warm-up runs and 10 timed runs.
scc v1.6.0
tokei v7.0.3 (compiled with Rust 1.27)
loc v0.4.1 (compiled with Rust 1.27)
polyglot v0.4.60
sloccount v2.26
cloc v1.6.0
Redis commit 39c70e728b5af0c50989ffbc05e568099f3e081b https://github.com/antirez/redis/
| Tool | Command | Time |
|---|---|---|
| scc (default) | scc redis |
20.1 ms ± 3.0 ms |
| scc (performance mode) | GOGC=-1 scc -c -co redis |
17.3 ms ± 2.2 ms |
| tokei | tokei redis |
20.9 ms ± 3.6 ms |
| loc | loc redis |
70.9 ms ± 31.7 ms |
| polyglot | polyglot redis |
24.5 ms ± 3.6 ms |
| sloccount | sloccount redis |
1.002 s ± 0.012 s |
| cloc | cloc redis |
1.883 s ± 0.022 s |
Django commit d3449faaa915a08c275b35de01e66a7ef6bdb2dc https://github.com/django/django
| Tool | Command | Time |
|---|---|---|
| scc (default) | scc django |
53.5 ms ± 3.2 ms |
| scc (performance mode) | GOGC=-1 scc -c -co django |
49.5 ms ± 3.3 ms |
| tokei | tokei django |
73.5 ms ± 5.0 ms |
| loc | loc django |
328.2 ms ± 64.0 ms |
| polyglot | polyglot django |
90.4 ms ± 3.1 ms |
| sloccount | sloccount django |
2.644 s ± 0.026 s |
| cloc | cloc django |
14.711 s ± 0.228 s |
Linux Kernel commit ec0c96714e7ddeda4eccaa077f5646a0fd6e371f https://github.com/torvalds/linux
| Tool | Command | Time |
|---|---|---|
| scc (default) | scc linux |
1.212 s ± 0.055 s |
| scc (performance mode) | GOGC=-1 scc -c -co linux |
658.0 ms ± 30.3 ms |
| tokei | tokei linux |
559.7 ms ± 27.7 ms |
| loc | loc linux |
1.649 s ± 0.184 s |
| polyglot | polyglot linux |
1.034 s ± 0.031 s |
| sloccount | sloccount linux |
61.602 s ± 5.231 s |
| cloc | cloc linux |
178.112 s ± 12.129 s |
To run scc as quickly as possible use the command GOGC=-1 scc . which should run in a time comparable to tokei for most repositories. If you enable duplicate detection expect performance to fall by about 50%
The core part of scc which is the counting engine is exposed publicly to be integrated into other Go applications. See https://github.com/pinpt/ripsrc for an example of how to do this.
To add or modify a language you will need to edit the languages.json file in the root of the project, and then run go generate to build it into the application. You can then go install or go build as normal to produce the binary with your modifications.
Its possible that you may see the counts vary between runs. This usually means one of two things. Either something is changing or locking the files under scc, or that you are hitting ulimit restrictions. To change the ulimit see the following links.
- https://superuser.com/questions/261023/how-to-change-default-ulimit-values-in-mac-os-x-10-6#306555
- https://unix.stackexchange.com/questions/108174/how-to-persistently-control-maximum-system-resource-consumption-on-mac/221988#221988
- https://access.redhat.com/solutions/61334
- https://serverfault.com/questions/356962/where-are-the-default-ulimit-values-set-linux-centos
- https://www.tecmint.com/increase-set-open-file-limits-in-linux/
To help identify this issue run scc like so scc -v . and look for the message too many open files in the output. If it is there you can rectify it by setting your ulimit to a higher value.
If you are running scc in a low memory environment < 512 MB of RAM you may need to set --filegccount or --fgc to a lower value such as 0 to force the garbage collector to be on at all times.
A sign that this is required will be scc crashing with panic errors.
scc is pretty well tested with many unit, integration and benchmarks to ensure that it is fast and complete.
Run go build for windows and linux then the following in linux, keep in mind need to update the version
GOOS=darwin GOARCH=amd64 go build && zip -r9 scc-1.0.0-x86_64-apple-darwin.zip scc
GOOS=windows GOARCH=amd64 go build && zip -r9 scc-1.0.0-x86_64-pc-windows.zip scc.exe
GOOS=linux GOARCH=amd64 go build && zip -r9 scc-1.0.0-x86_64-unknown-linux.zip scc
List of supported languages. Note that this is always assumed that you built from master, and it might trail behind what is actually supported. To see what your version of scc supports run scc --languages
ABAP (abap)
ActionScript (as)
Ada (ada,adb,ads,pad)
Agda (agda)
Alex (x)
AsciiDoc (adoc)
ASP (asa,asp)
ASP.NET (asax,ascx,asmx,aspx,master,sitemap,webinfo)
Assembly (s,asm)
ATS (dats)
Autoconf (in)
AutoHotKey (ahk)
AWK (awk)
BASH (bash)
Basic (bas)
Batch (bat,btm,cmd)
Boo (tex)
Brainfuck (bf)
C (c,ec,pgc)
C Header (h)
C Shell (csh)
C# (cs)
C++ (cc,cpp,cxx,c++,pcc)
C++ Header (hh,hpp,hxx,inl,ipp)
Cabal (cabal)
Cassius (cassius)
Ceylon (ceylon)
Clojure (clj)
ClojureScript (cljs)
CMake (cmake,cmakelists.txt)
COBOL (cob,cbl,ccp,cobol,cpy)
CoffeeScript (coffee)
Cogent (cogent)
ColdFusion (cfm)
ColdFusion CFScript (cfc)
Coq (v)
Crystal (cr)
CSS (css)
CSV (csv)
Cython (pyx)
D (d)
Dart (dart)
Device Tree (dts,dtsi)
Dhall (dhall)
Dockerfile (dockerfile,dockerignore)
Document Type Definition (dtd)
Elixir (ex,exs)
Elm (elm)
Emacs Dev Env (ede)
Emacs Lisp (el)
Erlang (erl,hrl)
Expect (exp)
Extensible Stylesheet Language Transformations (xslt)
F# (fs,fsi,fsx,fsscript)
F* (fst)
Fish (fish)
Forth (4th,forth,fr,frt,fth,f83,fb,fpm,e4,rx,ft)
FORTRAN Legacy (f,for,ftn,f77,pfo)
FORTRAN Modern (f03,f08,f90,f95)
Freemarker Template (ftl)
GDScript (gd)
Gherkin Specification (feature)
gitignore (.gitignore)
GLSL (vert,tesc,tese,geom,frag,comp)
Go (go)
Go Template (tmpl)
Gradle (gradle)
Groovy (groovy,grt,gtpl,gvy)
Hamlet (hamlet)
Handlebars (hbs,handlebars)
Happy (y,ly)
Haskell (hs)
Haxe (hx)
HEX (hex)
HTML (html,htm)
IDL (idl)
Idris (idr,lidr)
Intel HEX (ihex)
Isabelle (thy)
Jade (jade)
JAI (jai)
Java (java)
JavaScript (js,mjs)
JavaServer Pages (jsp)
Jenkins Buildfile (jenkinsfile)
JSON (json)
JSX (jsx)
Julia (jl)
Julius (julius)
Korn Shell (ksh)
Kotlin (kt,kts)
LaTeX (tex)
LD Script (lds)
Lean (lean,hlean)
LESS (less)
LEX (l)
License (license,licence,copying,copying3,unlicense,unlicence)
Lisp (lisp,lsp)
LOLCODE (lol,lols)
Lua (lua)
Lucius (lucius)
m4 (m4)
Macromedia eXtensible Markup Language (mxml)
Madlang (mad)
Makefile (makefile,mak,mk)
Markdown (md,markdown)
Meson (meson.build,meson_options.txt)
Modula3 (m3,mg,ig,i3)
Module-Definition (def)
MQL Header (mqh)
MQL4 (mq4)
MQL5 (mq5)
MSBuild (csproj,vbproj,fsproj,props,targets)
MUMPS (mps)
Mustache (mustache)
Nim (nim)
Nix (nix)
Objective C (m)
Objective C++ (mm)
OCaml (ml,mli)
Opalang (opa)
Org (org)
Oz (oz)
Pascal (pas)
Patch (patch)
Perl (pl,pm)
PHP (php)
PKGBUILD (pkgbuild)
Plain Text (text,txt)
Polly (polly)
Processing (pde)
Prolog (p,pro)
Properties File (properties)
Protocol Buffers (proto)
PSL Assertion (psl)
Puppet (pp)
PureScript (purs)
Python (py)
QCL (qcl)
QML (qml)
R (r)
Rakefile (rake,rakefile)
Razor (cshtml)
Report Definition Language (rdl)
ReStructuredText (rst)
Robot Framework (robot)
Ruby (rb)
Ruby HTML (rhtml)
Rust (rs)
SAS (sas)
Sass (sass,scss)
Scala (sc,scala)
Scheme (scm,ss)
Scons (csig,sconstruct,sconscript)
sed (sed)
Shell (sh)
SKILL (il)
Smarty Template (tpl)
Softbridge Basic (sbl)
SPDX (spdx)
Specman e (e)
Spice Netlist (ckt)
SQL (sql)
SRecode Template (srt)
Standard ML (SML) (sml)
Stata (do,ado)
SVG (svg)
Swift (swift)
SystemVerilog (sv,svh)
TCL (tcl)
TeX (tex,sty)
Thrift (thrift)
TOML (toml)
TypeScript (ts,tsx)
TypeScript Typings (d.ts)
Unreal Script (uc,uci,upkg)
Ur/Web (ur,urs)
Ur/Web Project (urp)
Vala (vala)
Varnish Configuration (vcl)
Verilog (vg,vh)
Verilog Args File (irunargs,xrunargs)
VHDL (vhd)
Vim Script (vim)
Visual Basic (vb)
Vue (vue)
Wolfram (nb,wl)
XAML (xaml)
XCode Config (xcconfig)
XML (xml)
XML Schema (xsd)
Xtend (xtend)
YAML (yaml,yml)
Zig (zig)
Zsh (zsh)