datapackage-to-datasette
Import Frictionless Data Datapackages into SQLite and generate Datasette metadata.
Setup
pip install datapackage-to-datasette
Usage
On the console
Import a datapackage from a local file
datapackage-to-datasette mydatabase.db /path/to/datapackage.json metadata.json
or from a URL
datapackage-to-datasette mydatabase.db https://pkgstore.datahub.io/core/co2-ppm/10/datapackage.json metadata.json
If the datasette metadata file already exists, you can pass
--write-mode replace or --write-mode merge to overwrite
or merge with the existing datasette metadata file.
As a library
from datapackage_to_datasette import datapackage_to_datasette, DataImportError
try:
datapackage_to_datasette(
'mydatabase.db',
'/path/to/datapackage.json',
'metadata.json',
write_mode='replace'
)
except DataImportError:
raise
Release files for datapackage-to-datasette 0.4.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| datapackage_to_datasette-0.4.1.tar.gz | 3.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| datapackage_to_datasette-0.4.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.2 kB
Release files / datapackage_to_datasette-0.4.1.tar.gz
| Download URL | datapackage_to_datasette-0.4.1.tar.gz |
|---|---|
| Size | 3.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c0c6f5024acabc40b4de03108d6fba161bc3265ed812ffa3727b81733773f5ec
|
|
BLAKE2b-256 checksum How to use checksums |
2d072964395f8067ee753c8a4885ebdf12a632cc7c90aa3558818d20f27f4b30
|
| Upload date | |
|
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 Oct 22, 2025.
Transparency logRelease files / datapackage_to_datasette-0.4.1-py3-none-any.whl
| Download URL | datapackage_to_datasette-0.4.1-py3-none-any.whl |
|---|---|
| Size | 4.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f37758c336b4ffee4cbef96b4f8199510d006e3cf1e971b4c9932c542c7c0632
|
|
BLAKE2b-256 checksum How to use checksums |
8482d04646c67ef1129d1c13db9f0e753af17ed3290892b30d2c7f9f2267d274
|
| Upload date | |
|
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 Oct 22, 2025.
Transparency log