Skip to main content

datalad-core: core library for the DataLad framework

PyPI version fury.io Documentation Status Hatch project

Developing with datalad_core

API stability is important, just as adequate semantic versioning, and informative changelogs.

Public vs internal API

Anything that can be imported directly from any of the sub-packages in datalad_core is considered to be part of the public API. Changes to this API determine the versioning, and development is done with the aim to keep this API as stable as possible. This includes signatures and return value behavior.

As an example: from datalad_core.abc import xyz imports a part of the public API, but from datalad_core.abc.def import xyz does not.

Use of the internal API

Developers can obviously use parts of the non-public API. However, this should only be done with the understanding that these components may change from one release to another, with no guarantee of transition periods, deprecation warnings, etc.

Developers are advised to never reuse any components with names starting with _ (underscore). Their use should be limited to their individual subpackage.

Contributing

Contributions to this library are welcome! Please see the contributing guidelines for details on scope and style of potential contributions.

Metadata

Release files for datalad-core 0.3.0

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

Source distribution (sdist)

Source distribution for datalad-core 0.3.0
File Size Uploaded Provenance Actions
datalad_core-0.3.0.tar.gz 108.9 kB Without provenance Details for datalad_core-0.3.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for datalad-core 0.3.0
File Interpreter ABI Platform Actions
datalad_core-0.3.0-py3-none-any.whl Python 3 none any Details for datalad_core-0.3.0-py3-none-any.whl

Total release size: 240.0 kB

Release files / datalad_core-0.3.0.tar.gz

Download URL datalad_core-0.3.0.tar.gz
Size 108.9 kB
Tags Source
SHA-256 checksum
How to use checksums
3a3721cce5b8cb8f516e6ca8ad03a444f2db5d4be628a95d82bdea8d716db639
BLAKE2b-256 checksum
How to use checksums
f2cce67d5dbce2924184bb680e97f8270328b462c6dc41859969c325fc9f70df
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via Hatch/1.17.0 {"ci":null,"cpu":"x86_64","distro":{"id":"forky","libc":{"lib":"glibc","version":"2.42"},"name":"Debian GNU/Linux","version":"n/a"},"implementation":{"name":"CPython","version":"3.12.11"},"installer":{"name":"hatch","version":"1.17.0"},"openssl_version":"OpenSSL 3.0.16 11 Feb 2025","python":"3.12.11","system":{"name":"Linux","release":"7.1.3+deb14-amd64"}} HTTPX2/2.3.0

Release files / datalad_core-0.3.0-py3-none-any.whl

Download URL datalad_core-0.3.0-py3-none-any.whl
Size 131.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ddf377c1e568314336221782c5a59273bb0f91f8cf85b24542c62750622e807e
BLAKE2b-256 checksum
How to use checksums
6d94b7123440be1490730cbef0b2e01b9d47c6d4a1b206c87289a1ca9a6cdebb
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via Hatch/1.17.0 {"ci":null,"cpu":"x86_64","distro":{"id":"forky","libc":{"lib":"glibc","version":"2.42"},"name":"Debian GNU/Linux","version":"n/a"},"implementation":{"name":"CPython","version":"3.12.11"},"installer":{"name":"hatch","version":"1.17.0"},"openssl_version":"OpenSSL 3.0.16 11 Feb 2025","python":"3.12.11","system":{"name":"Linux","release":"7.1.3+deb14-amd64"}} HTTPX2/2.3.0

Security for datalad-core 0.3.0

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.

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