Python 3-based commandline converter YAML ↔ JSON ↔ PLIST
Yaplon is a versatile command-line tool for converting between various common structured data formats: JSON, YAML, Property Lists (PLIST, both binary and XML), XML, and CSV (read-only for CSV input). It’s designed for developers, data analysts, system administrators, or anyone who needs to quickly and easily transform data from one format to another.
In a world of diverse applications and services, data often needs to be exchanged and processed in different formats. Yaplon simplifies this by providing:
Install the latest stable release from the Python Package Index (PyPI):
pip3 install --user --upgrade yaplon
Download pre-built binaries for your platform from the releases page:
yaplon-{version}-linux-x64yaplon-{version}-windows-x64.exeyaplon-{version}-macos-x64Make the binary executable and add it to your PATH.
To install the latest development version directly from GitHub:
pip3 install --user --upgrade git+https://github.com/twardoch/yaplon
If you want to contribute to Yaplon or modify it:
git clone https://github.com/twardoch/yaplon.git
cd yaplon
make install-dev
This installs the package in editable mode with all development dependencies.
For detailed build and development instructions, see BUILD.md. For GitHub Actions setup, see GITHUB_SETUP.md.
Yaplon can be invoked using the main yaplon command followed by a conversion subcommand (e.g., j2y for JSON to YAML), or by using dedicated shortcut scripts (e.g., json22yaml).
yaplon <command> -i <input_file> -o <output_file> [options]
<command>: Specifies the conversion type (see “Conversion Commands” below).-i <input_file>: Input file. If omitted or specified as -, Yaplon reads from standard input (stdin).-o <output_file>: Output file. If omitted or specified as -, Yaplon writes to standard output (stdout). This allows for easy piping.The following commands define the input and output formats:
c2j: CSV to JSONc2p: CSV to PLISTc2x: CSV to XMLc2y: CSV to YAMLj2p: JSON to PLISTj2x: JSON to XMLj2y: JSON to YAMLp2j: PLIST to JSONp2x: PLIST to XMLp2y: PLIST to YAMLx2j: XML to JSONx2p: XML to PLISTx2y: XML to YAMLy2j: YAML to JSONy2p: YAML to PLISTy2x: YAML to XMLYaplon supports JSON input with C-style comments (// ... and /* ... */) and trailing commas in objects/arrays (similar to JSON5).
These options are available for most conversion commands:
-i <input_file>, --in <input_file>: Specify the input file. Defaults to stdin.-o <output_file>, --out <output_file>: Specify the output file. Defaults to stdout.-s, --sort: Sort data before conversion. For dictionaries/maps, keys are sorted alphabetically. This helps in producing consistent output, especially for version control.-m, --mini: Minify output. The specific effect depends on the format (e.g., no indents or newlines in JSON/XML, flow style in YAML).*2p (to Plist):
-b, --bin: Output a binary Plist file. By default, an XML Plist is generated.p2j, y2j (from Plist/YAML to JSON):
-b, --bin: Preserve binary data (e.g., from Plist <data> or YAML !!binary) as a simple base64 encoded string in JSON. The default behavior is to represent binary data as a special dictionary: {"__bytes__": true, "base64": "..."}.*2x (to XML):
-R <name>, --root <name>: Specify the root tag name for the XML document. This is particularly useful if the input data is a list or if you want to override the default root tag (which is often ‘root’ or derived from a single top-level key). This option uses the xmltodict backend for XML generation.-t <name>, --tag <name>: Wrap the entire output in the specified tag. This option uses the dict2xml backend, which may produce a simpler XML structure, especially for lists. If -t is used, the -R option is ignored.x2* (from XML):
-N, --namespaces: Process XML namespaces. If enabled, tag names in the resulting data structure will include namespace prefixes.c2* (from CSV):
-H, --header: Treat the first row of the CSV as a header row. The CSV data will be read as a list of dictionaries (where keys are header names) instead of a list of lists.-d <dialect>, --dialect <dialect>: Specify the CSV dialect (e.g., ‘excel’, ‘excel-tab’, ‘unix’). If not specified, Yaplon attempts to sniff the dialect.-k <key_index>, --key <key_index>: (Requires -H or implies it) Use the values from the column specified by key_index (a 1-based integer) as keys for a top-level dictionary. The values of this dictionary will be the row dictionaries (with the key column itself removed from the row dictionary).For convenience, Yaplon also installs shortcut scripts that correspond directly to the conversion commands:
csv22json, csv22plist, csv22xml, csv22yamljson22plist, json22xml, json22yamlplist22json, plist22xml, plist22yamlxml22json, xml22plist, xml22yamlyaml22json, yaml22plist, yaml22xmlNote: These scripts use 22 (e.g., json22yaml) instead of 2 to avoid potential conflicts with other similarly named conversion tools you might have installed.
JSON to YAML (file to file using dedicated tool):
json22yaml -i input.json -o output.yaml
JSON to YAML (using pipes and main yaplon command):
cat input.json | yaplon j2y > output.yaml
PLIST to JSON (minified, preserving binary as base64 strings):
yaplon p2j -m -b -i input.plist -o output.json
CSV with header to XML (using a specific column as key and custom root tag):
yaplon c2x -H -k 1 --root "Entries" -i data.csv > data.xml
This section describes the internal workings of Yaplon.
Yaplon’s conversion process generally follows these steps:
reader.py): The input data is parsed into a standardized Python data structure, primarily using collections.OrderedDict. This preserves key order from the source format where applicable.
reader.sort_ordereddict function can be invoked via the -s/--sort CLI option to recursively sort these OrderedDicts by key.writer.py): The Python OrderedDict object is then serialized into the target output format.The Command Line Interface (CLI) is built using the Click library.
yaplon.ojson.read_json. This module supports JSON5-like features such as C-style comments (//, /* */) and trailing commas. These are stripped by yaplon.file_strip.json.sanitize_json before parsing with Python’s standard json module (using object_pairs_hook=OrderedDict).yaplon.ojson.json_dump. Can produce regular or minified JSON. Binary data is handled based on the -b flag (see “Binary Data Representation” below).yaplon.oplist.read_plist, which wraps Python’s standard plistlib. It parses both XML and binary Plists. Plist <data> elements are converted to Python bytes objects, and <date> elements become datetime.datetime objects.yaplon.oplist.plist_dumps (for XML Plist) and yaplon.oplist.plist_binary_dumps (for binary Plist, via -b flag). These also use plistlib.yaplon.oyaml.read_yaml, which uses the PyYAML library. It employs custom constructors to load YAML !!binary tags into Python bytes objects and !!timestamp tags into datetime.datetime objects. Data is loaded into OrderedDict to preserve order.yaplon.oyaml.yaml_dumps. Uses a custom dumper for OrderedDict to maintain key order and for bytes to serialize them as !!binary tags. Supports minified (flow style) output with the -m flag.yaplon.reader.xml, which uses the xmltodict library to parse XML into an OrderedDict. Namespace processing can be enabled with the -N flag.yaplon.writer.xml. This function is noted as potentially “primitive and buggy” for complex cases. It can use two different backends:
xmltodict.unparse: Used by default or when the -R/--root option is specified. This backend is generally more feature-rich for representing complex data structures.dict2xml.Converter: Used when the -t/--tag option is specified. This backend might produce simpler XML, especially for lists, and wraps the entire structure in a single user-defined tag.bytes are converted to base64 encoded strings, and datetime.datetime objects are converted to ISO 8601 strings.yaplon.reader.csv using Python’s standard csv module.
-H/--header is used, a list of OrderedDicts.-d).-k/--key option allows restructuring the data into a top-level OrderedDict keyed by values from a specified column.collections.OrderedDict is used as the primary internal data structure after parsing to ensure that key order from formats like YAML or sorted JSON is preserved and can be maintained in the output.bytes objects.<data> tags.!!binary tag.{"__bytes__": true, "base64": "..."} (a dictionary indicating binary content).-b flag (for p2j, y2j): A simple base64 encoded string.While not a formalized plugin system, adding support for a new format would conceptually involve:
yaplon/reader.py and yaplon/writer.py respectively.OrderedDict (or list of OrderedDicts, etc.).OrderedDict and serialize it to the new format.yaplon/__main__.py.Contributions to Yaplon are welcome! Whether it’s bug reports, feature suggestions, documentation improvements, or code contributions, your help is appreciated.
Please refer to the “Installation > For Development” section above for instructions on how to clone the repository and set up a development environment.
git checkout -b my-feature-branch.make install-dev
tests/ directory.make dev # format + lint + test-fast
make test
git push origin my-feature-branch.master branch of the twardoch/yaplon repository.The project uses a modern build system with automated testing and releases:
make dev for quick development workflowmake test for full test suite, make test-fast for quick testsmake build for packages, make build-binary for binariespython scripts/release.py --bump patch --message "msg"For detailed information, see BUILD.md and USAGE.md.
TODO.md file in the repository for a list of known tasks and planned enhancements.For significant changes, please add an entry to the CHANGELOG.md file, describing the change and referencing the relevant issue or PR if applicable.
Yaplon uses Black for code formatting and Flake8 for linting. Please ensure your contributions adhere to these standards by running make format and make lint.
The project uses pytest for testing. New features should include corresponding tests, and bug fixes should ideally include a test that demonstrates the bug and verifies the fix.
See CHANGELOG.md for a history of changes to the project.
Yaplon is distributed under the MIT License.
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