<https://github.com/datapackages/datapackage-py> instead. This repository is
just for historical purposes.**
# datapackage-validate-py
Validate [Data Package][] datapackage.json files against a jsonschema.
[Data Package]: http://data.okfn.org/doc/data-package
## Usage
```python
import datapackage_validate
try:
datapackage_validate.validate(datapackage, schema)
except datapackage_validate.exceptions.DataPackageValidateException as e:
e.errors # List with validation errors
```
The `datapackage` can be a json string or python dict.
The `schema` can be a json string, python dict, or a schema id corresponding with a schema from the registry of [Data Package Profiles][]. `schema` is optional, and will default to the `base` schema id if not provided.
`validate()` returns None. If there were errors during validation, it raises a
`datapackage_validate.exceptions.DataPackageValidateException` with a list of
the validation errors in its `.errors` property.
[Data Package Profiles]: https://github.com/dataprotocols/registry
5 maintainers
Metadata
5 maintainers
Release files for datapackage-validate 0.4.0
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 | Actions |
|---|---|---|---|---|
| datapackage-validate-0.4.0.tar.gz | 4.6 kB | Without provenance | Details for datapackage-validate-0.4.0.tar.gz |
Release files / datapackage-validate-0.4.0.tar.gz
| Download URL | datapackage-validate-0.4.0.tar.gz |
|---|---|
| Size | 4.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
015028485a5b23d8e53179011626df2318572602cba9fb283e02a69735535bff
|
|
BLAKE2b-256 checksum How to use checksums |
3d7810e657ebbf2773c9b774395c19b474f45002cb2270226cf1dbcad8933a32
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
Security for datapackage-validate 0.4.0
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.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
