Specification and reference implementation of audformat.
audformat stores media data, such as audio, video, or text together with corresponding annotations in a pre-defined way. This makes it easy to combine or replace databases in machine learning projects.
An audformat database is a folder that contains media files together with a header YAML file and one or several files storing the annotations. The database is represented as an audformat.Database object and can be loaded with audformat.Database.load() or written to disk with audformat.Database.save().
Have a look at the installation and usage instructions and the format specifications as a starting point.
Metadata
Release files for audformat 1.4.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| audformat-1.4.2.tar.gz | 158.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| audformat-1.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 233.2 kB
Release files / audformat-1.4.2.tar.gz
| Download URL | audformat-1.4.2.tar.gz |
|---|---|
| Size | 158.3 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
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Transparency logRelease files / audformat-1.4.2-py3-none-any.whl
| Download URL | audformat-1.4.2-py3-none-any.whl |
|---|---|
| Size | 74.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3a90c37923406e11be60ec22783b710461799df3be6068f9c12716a52a27021b
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|
BLAKE2b-256 checksum How to use checksums |
223bf50d547b7e7aab4c4a215f0b8a3c9cb3710a64d90bcf6e7115188196904e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
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 May 12, 2026.
Transparency log