tap-grib
tap-grib is a Singer tap for Grib files extractions. It has been tested on ERA5 datasets so far but could be extended to more use cases.
Built with the Meltano Tap SDK for Singer Taps.
Installation
Install from PyPI:
uv tool install tap-grib
Install from GitHub:
uv tool install git+https://github.com/ORG_NAME/tap-grib.git@main
Capabilities
catalogdiscover
Supported Python Versions
- 3.10
- 3.11
- 3.12
- 3.13
- 3.14
Configuration
Note: Use a tool like ECCODES to view the grib structure and associate proper configurations. E.g.
grib_ls ./data/test.grib | less
Accepted Config Options
Settings
| Setting | Required | Default | Description |
|---|---|---|---|
| paths | True | None | List of GRIB file path definitions (supports globs). |
| stream_maps | False | None | Config object for stream maps capability. For more information check out Stream Maps. |
| stream_maps.else | False | None | Currently, only setting this to __NULL__ is supported. This will remove all other streams. |
| stream_map_config | False | None | User-defined config values to be used within map expressions. |
| faker_config | False | None | Config for the Faker instance variable fake used within map expressions. Only applicable if the plugin specifies faker as an additional dependency (through the singer-sdk faker extra or directly). |
| faker_config.seed | False | None | Value to seed the Faker generator for deterministic output: https://faker.readthedocs.io/en/master/#seeding-the-generator |
| faker_config.locale | False | None | One or more LCID locale strings to produce localized output for: https://faker.readthedocs.io/en/master/#localization |
| flattening_enabled | False | None | 'True' to enable schema flattening and automatically expand nested properties. |
| flattening_max_depth | False | None | The max depth to flatten schemas. |
A full list of supported settings and capabilities for this tap is available by running:
tap-grib --about --format=markdown
Examples
config:
paths:
# all values in a table
- path: ./data/test.grib
# optional bboxes filter, skip records outside the bbox
# format for bbox is [north_lat, west_lon, south_lat, east_lon]
bboxes:
- [7.0, 45.0, 12.0, 48.0] # Western Europe
# optional table name, defaults to file name
table_name: my_table
# skip the listed columns
ignore_fields:
- ensemble
- grid_type
- centre
- edition
# drop messages from the past
skip_past: True
# drop messages before this reference date, defaults to now
# skip_past_reference: 2025-01-01
# test with local docker compose (eg. docker compose up)
- path: s3://local-data/test.grib
table_name: s3_test
ignore_fields:
- ensemble
- grid_type
- centre
- edition
To use an S3-based storage ensure to provide those envirnoment variables:
S3_ACCESS_KEY_ID,S3_SECRET_ACCESS_KEYaccess key/secret pairS3_ENDPOINT_URLCustom S3 endpoint such as minio or compatible interface
Example:
S3_ACCESS_KEY_ID=minioadmin S3_SECRET_ACCESS_KEY=minioadmin S3_ENDPOINT_URL=http://localhost:19000 meltano run tap-grib target-jsonl
Configure using environment variables
This Singer tap will automatically import any environment variables within the working directory's
.env if the --config=ENV is provided, such that config values will be considered if a matching
environment variable is set either in the terminal context or in the .env file.
Usage
You can easily run tap-grib by itself or in a pipeline using Meltano.
Executing the Tap Directly
tap-grib --version
tap-grib --help
tap-grib --config CONFIG --discover > ./catalog.json
Developer Resources
Follow these instructions to contribute to this project.
Initialize your Development Environment
Prerequisites:
- Python 3.10+
- uv
uv sync
Create and Run Tests
Create tests within the tests subfolder and
then run:
uv run pytest
You can also test the tap-grib CLI interface directly using uv run:
uv run tap-grib --help
Testing with Meltano
Note: This tap will work in any Singer environment and does not require Meltano. Examples here are for convenience and to streamline end-to-end orchestration scenarios.
Next, install Meltano (if you haven't already) and any needed plugins:
# Install meltano
uv tool install meltano
# Initialize meltano within this directory
cd tap-grib
meltano install
Now you can test and orchestrate using Meltano:
# Test invocation:
meltano invoke tap-grib --version
# OR run a test ELT pipeline:
meltano run tap-grib target-jsonl
SDK Dev Guide
See the dev guide for more instructions on how to use the SDK to develop your own taps and targets.
Metadata
Release files for tap-grib 1.5.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| tap_grib-1.5.0.tar.gz | 229.6 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tap_grib-1.5.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 245.5 kB
Release files / tap_grib-1.5.0.tar.gz
| Download URL | tap_grib-1.5.0.tar.gz |
|---|---|
| Size | 229.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / tap_grib-1.5.0-py3-none-any.whl
| Download URL | tap_grib-1.5.0-py3-none-any.whl |
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| Size | 16.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
b4957237f6f0d8b461d9fd86047138132dc2d1ee5b6a20ea20a0cc6f9b114555
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.7
|
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 Dec 25, 2025.
Transparency logSecurity for tap-grib 1.5.0
Provenance
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Full provenance
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Attestation for tap_grib-1.5.0.tar.gz
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 Dec 25, 2025.
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