panopticas
Discover insights into the types of data and functions used in your code.
Inspired by tools like enry and linguist
Features: language detector and metadata identifiers, based on the filename extension, filename details and the shebang line. Detects build configurations, dependency manifests, CI pipeline files, and binary file types.
The official documentation can be found at panopticas.io
Installation
pip install panopticas
Usage
Change into the directory you want to check the file types of and then run:
panopticas assess
To check a single file and get some metadata:
panopticas file FILENAME
To find URLs in files:
panopticas urls /path/to/directory
To find AI coding agent files and directories:
panopticas ai
panopticas ai /path/to/directory
panopticas ai --all-files
Development
If you want to check out the panopticas repo and work on bug fixes, use the pip "editable" install:
pip install -e .
Running Tests
pytest -v
Building and Publishing
python -m build
twine upload dist/*
Changelog
See CHANGELOG.md for version history.
License
MIT
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file panopticas-0.0.18.tar.gz.
File metadata
- Download URL: panopticas-0.0.18.tar.gz
- Upload date:
- Size: 23.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
94e892b84d45a005733ffff033f3fb70b4fc34e3c38f73ff1be92d49daffe38e
|
|
| MD5 |
9f35135a87c32ed21df34119da1cef20
|
|
| BLAKE2b-256 |
8f60478358dc9fd051fef4318955507f31281efa2e18ccbe7aa631a22f7e4735
|
File details
Details for the file panopticas-0.0.18-py3-none-any.whl.
File metadata
- Download URL: panopticas-0.0.18-py3-none-any.whl
- Upload date:
- Size: 14.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/7.0.0 CPython/3.14.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
61200f0c918b9aeaf8299990a798e66a13d7d59e64e753d7cdaf4e6f9b60d00a
|
|
| MD5 |
503ace2af6a689e3e2ccb3ec9cdef0bf
|
|
| BLAKE2b-256 |
77af1f76f1841d2adfcacc925a8626902534af0639a2e89284f1b19ad09d74aa
|
