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/
- https://boyter.org/posts/why-count-lines-of-code/
- https://boyter.org/posts/sloc-cloc-code-revisited/
- https://boyter.org/posts/sloc-cloc-code-performance/
A new review of scc
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 other code counting projects 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
Sloc, Cloc and Code. Count lines of code in a directory with complexity estimation.
Usage:
scc [flags]
Flags:
--avg-wage int average wage value used for basic COCOMO calculation (default 56286)
--binary disable binary file detection
--by-file display output for every file
--cocomo remove COCOMO calculation output
--debug enable debug output
--exclude-dir strings directories to exclude (default [.git,.hg,.svn])
--file-gc-count int number of files to parse before turning the GC on (default 10000)
-f, --format string set output format [tabular, wide, json, csv] (default "tabular")
-h, --help help for scc
-i, --include-ext strings limit to file extensions [comma separated list: e.g. go,java,js]
-l, --languages print supported languages and extensions
-c, --no-complexity skip calculation of code complexity
-d, --no-duplicates remove duplicate files from stats and output
-M, --not-match string ignore files and directories matching regular expression
-o, --output string output filename (default stdout)
-s, --sort string column to sort by [files, name, lines, blanks, code, comments, complexity] (default "files")
-t, --trace enable trace output. Not recommended when processing multiple files
-v, --verbose verbose output
--version version for scc
-w, --wide wider output with additional statistics (implies --complexity)
Output should look something like the below for the redis project
$ scc .
───────────────────────────────────────────────────────────────────────────────
Language Files Lines Code Comments Blanks Complexity
───────────────────────────────────────────────────────────────────────────────
C 249 143701 103269 24163 16269 25906
C Header 199 27537 18543 5768 3226 1557
TCL 98 16865 14098 954 1813 1404
Shell 36 1106 775 215 116 89
Lua 20 525 387 70 68 65
Autoconf 18 10821 8469 1326 1026 951
gitignore 11 151 135 0 16 0
Makefile 9 1031 722 100 209 50
Markdown 8 1886 1363 0 523 0
Ruby 8 722 580 69 73 107
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 2 219 162 18 39 68
C++ Header 1 9 5 3 1 0
Smarty Template 1 44 43 0 1 5
m4 1 562 393 53 116 0
Plain Text 1 23 16 0 7 0
Batch 1 28 26 0 2 3
───────────────────────────────────────────────────────────────────────────────
Total 682 215645 158421 32767 24457 30236
───────────────────────────────────────────────────────────────────────────────
Estimated Cost to Develop $5,513,136
Estimated Schedule Effort 29.350958 months
Estimated People Required 22.250054
───────────────────────────────────────────────────────────────────────────────
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 are run on fresh 32 CPU Optimised Digital Ocean Virtual Machine 2018/09/19 all done using hyperfine with 3 warm-up runs and 10 timed runs.
scc v1.10.0
tokei v8.0.0 (compiled with Rust 1.29)
loc v0.4.1 (compiled with Rust 1.29)
polyglot v0.5.13
gocloc commit b3aa5f37096bbbfa22803a532214a11dbefa0206
Redis commit 7cdf272d46ad9b658ef8f5d8485af0eeb17cae6d https://github.com/antirez/redis/
| Program | Runtime |
|---|---|
| scc | 38.1 ms ± 1.2 ms |
| scc (no complexity) | 27.2 ms ± 1.7 ms |
| tokei | 17.2 ms ± 3.0 ms |
| loc | 31.5 ms ± 23.5 ms |
| polyglot | 15.2 ms ± 1.3 ms |
| gocloc | 129.3 ms ± 2.1 ms |
| Program | Runtime |
|---|---|
| scc | 69.8 ms ± 2.7 ms |
| scc (no complexity) | 55.9 ms ± 2.6 ms |
| tokei | 65.9 ms ± 6.4 ms |
| loc | 104.0 ms ± 58.4 ms |
| polyglot | 84.3 ms ± 8.4 ms |
| gocloc | 787.2 ms ± 7.1 ms |
Linux Kernel commit 7876320f88802b22d4e2daf7eb027dd14175a0f8 https://github.com/torvalds/linux
| Program | Runtime |
|---|---|
| scc | 623.5 ms ± 22.1 ms |
| scc (no complexity) | 471.1 ms ± 18.0 ms |
| tokei | 549.7 ms ± 30.8 ms |
| loc | 556.7 ms ± 145.7 ms |
| polyglot | 953.1 ms ± 31.0 ms |
| gocloc | 12.083 s ± 0.030 s |
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 -ldflags="-s -w" && zip -r9 scc-1.0.0-x86_64-apple-darwin.zip scc
GOOS=darwin GOARCH=386 go build -ldflags="-s -w" && zip -r9 scc-1.0.0-i386-apple-darwin.zip scc
GOOS=windows GOARCH=amd64 go build -ldflags="-s -w" && zip -r9 scc-1.0.0-x86_64-pc-windows.zip scc.exe
GOOS=windows GOARCH=386 go build -ldflags="-s -w" && zip -r9 scc-1.0.0-i386-pc-windows.zip scc.exe
GOOS=linux GOARCH=amd64 go build -ldflags="-s -w" && zip -r9 scc-1.0.0-x86_64-unknown-linux.zip scc
GOOS=linux GOARCH=386 go build -ldflags="-s -w" && zip -r9 scc-1.0.0-i386-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)
Android Interface Definition Language (aidl)
Arvo (avdl,avpr,avsc)
AsciiDoc (adoc)
ASP (asa,asp)
ASP.NET (asax,ascx,asmx,aspx,master,sitemap,webinfo)
Assembly (s,asm)
ATS (dats,sats,ats,hats)
Autoconf (in)
AutoHotKey (ahk)
AWK (awk)
BASH (bash,.bash_login,bash_login,.bash_logout,bash_logout,.bash_profile,bash_profile,.bashrc,bashrc)
Basic (bas)
Batch (bat,btm,cmd)
Bazel (bzl,build.bazel,build,workspace)
Bitbake (bb,bbappend,bbclass)
Boo (tex)
Brainfuck (bf)
BuildStream (bst)
C (c,ec,pgc)
C Header (h)
C Shell (csh,.cshrc)
C# (cs)
C++ (cc,cpp,cxx,c++,pcc)
C++ Header (hh,hpp,hxx,inl,ipp)
Cabal (cabal)
Cargo Lock (cargo.lock)
Cassius (cassius)
Ceylon (ceylon)
Clojure (clj)
ClojureScript (cljs)
Closure Template (soy)
CMake (cmake,cmakelists.txt)
COBOL (cob,cbl,ccp,cobol,cpy)
CoffeeScript (coffee)
Cogent (cogent)
ColdFusion (cfm)
ColdFusion CFScript (cfc)
Coq (v)
Creole (creole)
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)
FIDL (fidl)
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)
Fragment Shader File (fsh)
Freemarker Template (ftl)
Game Maker Language (gml)
Game Maker Project (yyp)
GDScript (gd)
Gherkin Specification (feature)
gitignore (.gitignore)
GLSL (vert,tesc,tese,geom,frag,comp)
GN (gn,gni)
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,webidl,widl)
Idris (idr,lidr)
Intel HEX (ihex)
Isabelle (thy)
Jade (jade)
JAI (jai)
Java (java)
JavaScript (js,mjs)
JavaServer Pages (jsp)
Jenkins Buildfile (jenkinsfile)
Jinja (jinja,j2,jinja2)
JSON (json)
JSONL (jsonl)
JSX (jsx)
Julia (jl)
Julius (julius)
Jupyter (ipynb,jpynb)
Just (justfile)
Korn Shell (ksh,.kshrc)
Kotlin (kt,kts)
LaTeX (tex)
LD Script (lds)
Lean (lean,hlean)
LESS (less)
LEX (l)
License (license,licence,copying,copying3,unlicense,unlicence,license-mit,licence-mit)
Lisp (lisp,lsp)
LOLCODE (lol,lols)
Lua (lua)
Lucius (lucius)
m4 (m4)
Macromedia eXtensible Markup Language (mxml)
Madlang (mad)
Makefile (makefile,mak,mk,bp)
Mako (mako,mao)
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)
nuspec (nuspec)
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)
Powershell (ps1,psm1)
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,.tcshrc)
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)
Stylus (styl)
SVG (svg)
Swift (swift)
Swig (i)
Systemd (automount,device,link,mount,path,scope,service,slice,socket,swap,target,timer)
SystemVerilog (sv,svh)
TaskPaper (taskpaper)
TCL (tcl)
TeX (tex,sty)
Thrift (thrift)
TOML (toml)
Twig Template (twig)
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)
Vertex Shader File (vsh)
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,.zshenv,zshenv,.zlogin,zlogin,.zlogout,zlogout,.zprofile,zprofile,.zshrc,zshrc)