target-csv
A Singer target that generates CSV files.
Built with the Meltano SDK for Singer Taps and Targets.
Capabilities
target
Settings
| Setting | Required | Default | Description |
|---|---|---|---|
| output_path | False | None | Filesystem path where to store output files. By default, the current working directory will be used. When specified, the output directory will be created automatically. |
| file_naming_scheme | False | {stream_name}.csv | The scheme with which output files will be named. Naming scheme may leverage any of the following substitutions: - {stream_name}- {datestamp}- {timestamp} |
| datestamp_format | False | %Y-%m-%d | A python format string to use when outputting the {datestamp} string. For reference, see: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes |
| timestamp_format | False | %Y-%m-%d.T%H%M%S | A python format string to use when outputting the {timestamp} string. For reference, see: https://docs.python.org/3/library/datetime.html#strftime-and-strptime-format-codes |
| timestamp_timezone | False | UTC | The timezone code or name to use when generating {timestamp} and {datestamp}. Defaults to 'UTC'. For a list of possible values, please see: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones |
| stream_maps | False | None | Allows inline stream transformations and aliasing. For more information see: https://sdk.meltano.com/en/latest/stream_maps.html |
| record_sort_property_name | False | None | A property in the record which will be used as a sort key. If this property is omitted, records will not be sorted. |
| overwrite_behavior | False | replace_file | Determines the overwrite behavior if destination file already exists. Must be one of the following string values: - append_records (default) - append records at the insertion point- replace_file - replace entire file using default_CSV_template |
| escape_characters | False | None | A string of characters to escape when writing CSV files. |
A full list of supported settings and capabilities is available by running: target-csv --about
Installation
uv tool install --from meltanolabs-target-csv target-csv
Usage
You can easily run target-csv by itself or in a pipeline using Meltano.
Executing the Target Directly
target-csv --version
target-csv --help
# Test using the "Carbon Intensity" sample:
tap-carbon-intensity | target-csv --config /path/to/target-csv-config.json
# Test using the "Smoke Test" tap:
tap-smoke-test --config=tap-smoke-test-config.json | target-csv
Developer Resources
-
Developer TODO:As a first step, scan the entire project for the text "TODO:" and complete any recommended steps, deleting the "TODO" references once completed.
Initialize your Development Environment
uv sync
Create and Run Tests
Create tests within the target_csv/tests subfolder and
then run:
uv run pytest
You can also test the target-csv CLI interface directly using uv run:
uv run target-csv --help
Testing with Meltano
Note: This target will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.
Your project comes with a custom meltano.yml project file already created. Open the meltano.yml and follow any "TODO" items listed in
the file.
Next, install Meltano (if you haven't already) and any needed plugins:
uv tool install meltano
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke target-csv --version
# OR run a test `elt` pipeline with the Carbon Intensity sample tap:
meltano run tap-smoke-test target-csv
# Or with debug logging:
meltano --log-level=debug run tap-smoke-test target-csv
SDK Dev Guide
See the dev guide for more instructions on how to use the Meltano SDK to develop your own Singer taps and targets.
Metadata
Release files for meltanolabs-target-csv 0.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| meltanolabs_target_csv-0.5.0.tar.gz | 110.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| meltanolabs_target_csv-0.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 122.7 kB
Release files / meltanolabs_target_csv-0.5.0.tar.gz
| Download URL | meltanolabs_target_csv-0.5.0.tar.gz |
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| Size | 110.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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| Download URL | meltanolabs_target_csv-0.5.0-py3-none-any.whl |
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| Size | 11.8 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Sep 24, 2026.
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