[](https://pypi.org/project/pygount/)
[](https://www.python.org/downloads/)
[](https://github.com/roskakori/pygount/actions/workflows/build.yml)
[](https://coveralls.io/r/roskakori/pygount?branch=master)
[](https://github.com/psf/black)
[](https://opensource.org/licenses/BSD-3-Clause)
# pygount
Pygount is a command line tool to scan folders for source code files and
count the number of source code lines in it. It is similar to tools like
[sloccount](https://www.dwheeler.com/sloccount/) and
[cloc](https://github.com/AlDanial/cloc) but uses the
[pygments](https://pygments.org/)
package to analyze the source code and consequently can analyze any
[programming language supported by pygments](https://pygments.org/languages/).
The name is a combination of pygments and count.
Pygount is open source and distributed under the
[BSD license](https://opensource.org/licenses/BSD-3-Clause). The source
code is available from https://github.com/roskakori/pygount.
## Quickstart
For installation run
```bash
$ pip install pygount
```
To get a list of line counts for a projects stored in a certain folder run for
example:
```bash
$ pygount ~/projects/example
```
To limit the analysis to certain file types identified by their suffix:
```bash
$ pygount --suffix=cfg,py,yml ~/projects/example
```
To get a summary of each programming language with sum counts and percentage:
```bash
$ pygount --format=summary ~/projects/example
```
To analyze a remote git repository directly without having to clone it first:
```bash
$ pygount --format=summary https://github.com/roskakori/pygount.git
```
You can pass a specific revision at the end of the remote URL:
```bash
$ pygount --format=summary https://github.com/roskakori/pygount.git/v1.5.1
```
This example results in the following summary output:
```
┏━━━━━━━━━━━━━━━━━━┳━━━━━━━┳━━━━━━━┳━━━━━━┳━━━━━━┳━━━━━━━━━┳━━━━━━┓
┃ Language ┃ Files ┃ % ┃ Code ┃ % ┃ Comment ┃ % ┃
┡━━━━━━━━━━━━━━━━━━╇━━━━━━━╇━━━━━━━╇━━━━━━╇━━━━━━╇━━━━━━━━━╇━━━━━━┩
│ Python │ 18 │ 47.4 │ 2132 │ 63.6 │ 418 │ 12.5 │
│ TOML │ 2 │ 5.3 │ 1204 │ 82.7 │ 1 │ 0.1 │
│ reStructuredText │ 9 │ 23.7 │ 566 │ 64.8 │ 1 │ 0.1 │
│ Markdown │ 3 │ 7.9 │ 53 │ 49.1 │ 0 │ 0.0 │
│ Batchfile │ 1 │ 2.6 │ 24 │ 68.6 │ 1 │ 2.9 │
│ Text only │ 2 │ 5.3 │ 24 │ 82.8 │ 0 │ 0.0 │
│ Bash │ 2 │ 5.3 │ 12 │ 80.0 │ 3 │ 20.0 │
│ Makefile │ 1 │ 2.6 │ 9 │ 45.0 │ 7 │ 35.0 │
├──────────────────┼───────┼───────┼──────┼──────┼─────────┼──────┤
│ Sum │ 38 │ 100.0 │ 4024 │ 68.4 │ 431 │ 7.3 │
└──────────────────┴───────┴───────┴──────┴──────┴─────────┴──────┘
```
Plenty of tools can post process SLOC information, for example the
[SLOCCount plug-in](https://wiki.jenkins-ci.org/display/JENKINS/SLOCCount+Plugin)
for the [Jenkins](https://jenkins.io/) continuous integration server.
A popular format for such tools is the XML format used by cloc, which pygount
also supports and can store in an output file:
```bash
$ pygount --format=cloc-xml --out=cloc.xml ~/projects/example
```
To get a short description of all available command line options use:
```bash
$ pygount --help
```
For more information and examples read the documentation chapter on
[Usage](https://pygount.readthedocs.io/en/latest/usage.html).
## Contributions
To report bugs, visit the
[issue tracker](https://github.com/roskakori/pygount/issues).
In case you want to play with the source code or contribute improvements, see
[CONTRIBUTING](https://pygount.readthedocs.io/en/latest/contributing.html).
## Version history
See [CHANGES](https://pygount.readthedocs.io/en/latest/changes.html).
Raw data
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