Skip to main content

Travis build Build status Test coverage

odmltools

odmltools is a package collecting convenience scripts for the odML python-project. The Python odML library is available on GitHub.

The open metadata Markup Language is a file based format (XML, JSON, YAML) for storing metadata in an organised human- and machine-readable way. odML is an initiative to define and establish an open, flexible, and easy-to-use format to transport metadata.

Convenience scripts

Currently the package contains a convenience script to import DataCite XML files to odML:

The script is automatically installed and available via the command line. It provides detailed usage descriptions by adding the help flag to the command.

odmlimportdatacite -h

Building from source

To download the odmltools library please either use git and clone the repository from GitHub:

  $ git clone https://github.com/G-Node/odmltools.git

If you don't want to use git download the ZIP file also provided on GitHub to your computer (e.g. as above on your home directory under a "toolbox" folder).

To install the Python-odML library, enter the corresponding directory and run:

  $ cd odmltools
  $ python setup.py install

Documentation

More information about the project including related projects as well as tutorials and examples can be found at our odML project page.

Bugs & Questions

Should you find a behaviour that is likely a bug or feel there is something missing, just create an issue over at the GitHub odmltools issue tracker.

Metadata

Release files for odmltools 1.0.0

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

Source distribution (sdist)

Source distribution for odmltools 1.0.0
File Size Uploaded Provenance Actions
odmltools-1.0.0.tar.gz 12.5 kB Without provenance Details for odmltools-1.0.0.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for odmltools 1.0.0
File Interpreter ABI Platform Actions
odmltools-1.0.0-py3.5.egg Legacy Egg format - - Details for odmltools-1.0.0-py3.5.egg

Total release size: 29.9 kB

Release files / odmltools-1.0.0.tar.gz

Download URL odmltools-1.0.0.tar.gz
Size 12.5 kB
Tags Source
SHA-256 checksum
How to use checksums
e21a1d8703bc6095eb30dd72d690ba06dc128db03c8cbd5acb44874d8304b899
BLAKE2b-256 checksum
How to use checksums
e4d01d940dd193c6f3c2e106347b73b2f4a116372422d982fed185e45a817e7c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

Release files / odmltools-1.0.0-py3.5.egg

Download URL odmltools-1.0.0-py3.5.egg
Size 17.4 kB
Tags Egg
SHA-256 checksum
How to use checksums
8ceaa13fa07b006394f0320e6381b79988c54c884e3723feba2cbdefa99dda21
BLAKE2b-256 checksum
How to use checksums
42345ab2545f45d548b186df8ef979cc31bcba728ea65f91e7488705f67c3568
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/1.13.0 pkginfo/1.5.0.1 requests/2.18.4 setuptools/39.2.0 requests-toolbelt/0.8.0 tqdm/4.19.5 CPython/3.6.5

Security for odmltools 1.0.0

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.

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files No provenance

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