MSL-IO
msl-io follows the data model used by HDF5 to read and write data files — where there are Groups and Datasets and each item has Metadata
The tree structure is similar to the file-system structure used by operating systems. Groups are analogous to directories (where Root is the root Group) and Datasets are analogous to files.
The data files that can be read or written are not restricted to HDF5 files, but any file format that has a Reader implemented can be read and data files can be created using any of the Writers.
Install
msl-io is available for installation via the Python Package Index
pip install msl-io
Dependencies
Documentation
The documentation for msl-io can be found here.
Metadata
Release files for msl-io 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 | |
|---|---|---|---|
| msl_io-0.4.0.tar.gz | 157.4 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| msl_io-0.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 336.2 kB
Release files / msl_io-0.4.0.tar.gz
| Download URL | msl_io-0.4.0.tar.gz |
|---|---|
| Size | 157.4 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Jun 30, 2026.
Transparency logRelease files / msl_io-0.4.0-py3-none-any.whl
| Download URL | msl_io-0.4.0-py3-none-any.whl |
|---|---|
| Size | 178.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
34b4b82b5b522966fc7fcb1f348feb0acbeaba05f1f0453c4f10c35536b67de3
|
|
BLAKE2b-256 checksum How to use checksums |
19b87607d15ce8c5f0739a95ca02349e25fb347bf8b3055ea0aa99dac34b85f9
|
| 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 Jun 30, 2026.
Transparency log