Skip to main content

Define schemas for your data or configurations, and validate and normalize them in one step.

Metadata

Release files for python-dataschema 0.1.5

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for python-dataschema 0.1.5
File Size Uploaded Provenance
python-dataschema-0.1.5.tar.gz 12.9 kB Without provenance Details

Built distribution (wheel)

Table of built distributions (wheels) for python-dataschema 0.1.5
File Interpreter ABI Platform
python_dataschema-0.1.5-py3-none-any.whl Python 3 none any Details

Total release size: 26.3 kB

Release files / python-dataschema-0.1.5.tar.gz

Download URL python-dataschema-0.1.5.tar.gz
Size 12.9 kB
Tags Source
SHA-256 checksum
How to use checksums
fe4834dad4740e53a5418d5791eb8bd3dc9b9eea436e3a0dc279b316ff7d7284
BLAKE2b-256 checksum
How to use checksums
5fc45b1d96588381bff00550c0aa1b1d15ac9f10c7760f5b32c542742397b1db
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.2

Release files / python_dataschema-0.1.5-py3-none-any.whl

Download URL python_dataschema-0.1.5-py3-none-any.whl
Size 13.4 kB
Tags Python 3
SHA-256 checksum
How to use checksums
827e30a71d7e12ba5ca340c3b9fc566122788ed26f5c669fc57f388c8d61476f
BLAKE2b-256 checksum
How to use checksums
541f510b86905759987446656ccdce4232920bce1de7e7d394bac48a78051c56
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.9.2

Security for python-dataschema 0.1.5

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.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page