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文档Sloc Cloc and Code (scc)
<img alt="scc" src=https://github.com/boyter/scc/raw/master/scc.jpg>
A tool similar to cloc, sloccount and tokei. For counting 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, estimate code complexity similar to cyclomatic complexity calculators and produce unique lines of code or DRYness metrics. In short one tool to rule them all.
Also it has a very short name which is easy to type scc.
If you don't like sloc cloc and code feel free to use the name Succinct Code Counter.
Licensed under MIT licence.
Support
Using scc commercially? If you want priority support for scc you can purchase a years worth https://boyter.gumroad.com/l/kgenuv which entitles you to priority direct email support from the developer.
Install
Go Get
If you are comfortable using Go and have >= 1.17 installed:
go install github.com/boyter/scc/v3@latest
or bleeding edge with
go install github.com/boyter/scc@master
Snap
A snap install exists thanks to Ricardo.
$ sudo snap install scc
NB Snap installed applications cannot run outside of /home https://askubuntu.com/questions/930437/permission-denied-error-when-running-apps-installed-as-snap-packages-ubuntu-17 so you may encounter issues if you use snap and attempt to run outside this directory.
Homebrew
Or if you have Homebrew installed
$ brew install scc
MacPorts
On macOS, you can also install via MacPorts
$ sudo port install scc
Scoop
Or if you are using Scoop on Windows
$ scoop install scc
Chocolatey
Or if you are using Chocolatey on Windows
$ choco install scc
FreeBSD
On FreeBSD, scc is available as a package
$ pkg install scc
Or, if you prefer to build from source, you can use the ports tree
$ cd /usr/ports/devel/scc && make install clean
Run in Docker
Go to the directory you want to run scc from.
Run the command below to run the latest release of scc on your current working directory:
docker run --rm -it -v "$PWD:/pwd" ghcr.io/lhoupert/scc:master scc /pwd
Manual
Binaries for Windows, GNU/Linux and macOS for both i386 and x86_64 machines are available from the releases page.
GitLab
https://about.gitlab.com/blog/2023/02/15/code-counting-in-gitlab/
Other
If you would like to assist with getting scc added into apt/chocolatey/etc... please submit a PR or at least raise an issue with instructions.
Background
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/
- https://boyter.org/posts/sloc-cloc-code-performance-update/
Some reviews of scc
- https://nickmchardy.com/2018/10/counting-lines-of-code-in-koi-cms.html
- https://www.feliciano.tech/blog/determine-source-code-size-and-complexity-with-scc/
- https://metaredux.com/posts/2019/12/13/counting-lines.html
A talk given at the first GopherCon AU about scc (press S to see speaker notes)
For performance see the Performance section
Other similar projects,
- SLOCCount the original sloc counter
- cloc, inspired by SLOCCount; implemented in Perl for portability
- gocloc a sloc counter in Go inspired by tokei
- loc rust implementation similar to tokei but often faster
- loccount Go implementation written and maintained by ESR
- ployglot ATS sloc counter
- tokei fast, accurate and written in rust
- sloc coffeescript code counter
Interesting reading about other code counting projects tokei, loc, polyglot and loccount
- 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
- http://esr.ibiblio.org/?p=8270
Further reading about processing files on the disk performance
Using scc to process 40 TB of files from GitHub/Bitbucket/GitLab
Pitch
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
- You need to tell the difference between Coq and Verilog in the same directory
- cloc yaml output support so potentially a drop in replacement for some users
- Can identify or ignore minified files
- Able to identify many #! files ADVANCED! https://github.com/boyter/scc/issues/115
- Can ignore large files by lines or bytes
- Can calculate the ULOC or unique lines of code by file, language or project
- Supports multiple output formats for integration, CSV, SQL, JSON, HTML and more
Why not use scc?
- You don't like Go for some reason
- It cannot count D source with different nested multi-line comments correctly https://github.com/boyter/scc/issues/27
Differences
There are some important differences between scc and other tools that are out there. Here are a few important ones for you to consider.
Blank lines inside comments are counted as comments. While the line is technically blank the decision was made that once in a comment everything there should be considered a comment until that comment is ended. As such the following,
/* blank lines follow
*/
Would be counted as 4 lines of comments. This is noticeable when comparing scc's output to other tools on large repositories.
scc is able to count verbatim strings correctly. For example in C# the following,
private const string BasePath = @"a:\";
// The below is returned to the user as a version
private const string Version = "1.0.0";
Because of the prefixed @ this string ends at the trailing " by ignoring the escape character \ and as such should be counted as 2 code lines and 1 comment. Some tools are unable to deal with this and instead count up to the "1.0.0" as a string which can cause the middle comment to be counted as code rather than a comment.
scc will also tell you the number of bytes it has processed (for most output formats) allowing you to estimate the
cost of running some static analysis tools.
Usage
Command line usage of scc is designed to be as simple as possible.
Full details can be found in scc --help or scc -h. Note that the below reflects the state of master not a release, as such
features listed below may be missing from your installation.
Sloc, Cloc and Code. Count lines of code in a directory with complexity estimation.
Version 3.3.4
Ben Boyter <ben@boyter.org> + Contributors
Usage:
scc [flags] [files or directories]
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
-m, --character calculate max and mean characters per line
--ci enable CI output settings where stdout is ASCII
--cocomo-project-type string change COCOMO model type [organic, semi-detached, embedded, "custom,1,1,1,1"] (default "organic")
--count-as string count extension as language [e.g. jsp:htm,chead:"C Header" maps extension jsp to html and chead to C Header]
--count-ignore set to allow .gitignore and .ignore files to be counted
--currency-symbol string set currency symbol (default "$")
--debug enable debug output
-a, --dryness calculate the DRYness of the project (implies --uloc)
--eaf float the effort adjustment factor derived from the cost drivers (1.0 if rated nominal) (default 1)
--exclude-dir strings directories to exclude (default [.git,.hg,.svn])
-x, --exclude-ext strings ignore file extensions (overrides include-ext) [comma separated list: e.g. go,java,js]
-n, --exclude-file strings ignore files with matching names (default [package-lock.json,Cargo.lock,yarn.lock,pubspec.lock,Podfile.lock,pnpm-lock.yaml])
--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, json2, csv, csv-stream, cloc-yaml, html, html-table, sql, sql-insert, openmetrics] (default "tabular")
--format-multi string have multiple format output overriding --format [e.g. tabular:stdout,csv:file.csv,json:file.json]
--gen identify generated files
--generated-markers strings string markers in head of generated files (default [do not edit,<auto-generated />])
-h, --help help for scc
-i, --include-ext strings limit to file extensions [comma separated list: e.g. go,java,js]
--include-symlinks if set will count symlink files
-l, --languages print supported languages and extensions
--large-byte-count int number of bytes a file can contain before being removed from output (default 1000000)
--large-line-count int number of lines a file can contain before being removed from output (default 40000)
--min identify minified files
-z, --min-gen identify minified or generated files
--min-gen-line-length int number of bytes per average line for file to be considered minified or generated (default 255)
--no-cocomo remove COCOMO calculation output
-c, --no-complexity skip calculation of code complexity
-d, --no-duplicates remove duplicate files from stats and output
--no-gen ignore generated files in output (implies --gen)
--no-gitignore disables .gitignore file logic
--no-ignore disables .ignore file logic
--no-large ignore files over certain byte and line size set by max-line-count and max-byte-count
--no-min ignore minified files in output (implies --min)
--no-min-gen ignore minified or generated files in output (implies --min-gen)
--no-size remove size calculation output
-M, --not-match stringArray ignore files and directories matching regular expression
-o, --output string output filename (default stdout)
--overhead float set the overhead multiplier for corporate overhead (facilities, equipment, accounting, etc.) (default 2.4)
-p, --percent include percentage values in output
--remap-all string inspect every file and remap by checking for a string and remapping the language [e.g. "-*- C++ -*-":"C Header"]
--remap-unknown string inspect files of unknown type and remap by checking for a string and remapping the language [e.g. "-*- C++ -*-":"C Header"]
--size-unit string set size unit [si, binary, mixed, xkcd-kb, xkcd-kelly, xkcd-imaginary, xkcd-intel, xkcd-drive, xkcd-bakers] (default "si")
--sloccount-format print a more SLOCCount like COCOMO calculation
-s, --sort string column to sort by [files, name, lines, blanks, code, comments, complexity] (default "files")
--sql-project string use supplied name as the project identifier for the current run. Only valid with the --format sql or sql-insert option
-t, --trace enable trace output (not recommended when processing multiple files)
-u, --uloc calculate the number of unique lines of code (ULOC) for the project
-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 redis
───────────────────────────────────────────────────────────────────────────────
Language Files Lines Blanks Comments Code Complexity
───────────────────────────────────────────────────────────────────────────────
C 296 180267 20367 31679 128221 32548
C Header 215 32362 3624 6968 21770 1636
TCL 143 28959 3130 1784 24045 2340
Shell 44 1658 222 326 1110 187
Autoconf 22 10871 1038 1326 8507 953
Lua 20 525 68 70 387 65
Markdown 16 2595 683 0 1912 0
Makefile 11 1363 262 125 976 59
Ruby 10 795 78 78 639 116
gitignore 10 162 16 0 146 0
YAML 6 711 46 8 657 0
HTML 5 9658 2928 12 6718 0
C++ 4 286 48 14 224 31
License 4 100 20 0 80 0
Plain Text 3 185 26 0 159 0
CMake 2 214 43 3 168 4
CSS 2 107 16 0 91 0
Python 2 219 12 6 201 34
Systemd 2 80 6 0 74 0
BASH 1 118 14 5 99 31
Batch 1 28 2 0 26 3
C++ Header 1 9 1 3 5 0
Extensible Styleshe… 1 10 0 0 10 0
Smarty Template 1 44 1 0 43 5
m4 1 562 116 53 393 0
───────────────────────────────────────────────────────────────────────────────
Total 823 271888 32767 42460 196661 38012
───────────────────────────────────────────────────────────────────────────────
Estimated Cost to Develop (organic) $6,918,301
Estimated Schedule Effort (organic) 28.682292 months
Estimated People Required (organic)
