Abra Eye-tracking ver.1.3
Abra is an open-source python eye tracking data analysis tool which provides a simple interface for managing .edf files generated by EyeLink eye trackers.
Installation
Python 3:
pip install abra
Check out the documentation here: https://abra-eyetracking.github.io/
1 maintainer
Metadata
1 maintainer
Release files for abra 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 | Provenance | |
|---|---|---|---|---|
| abra-1.4.2.tar.gz | 11.3 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| abra-1.4.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 25.5 kB
Release files / abra-1.4.2.tar.gz
| Download URL | abra-1.4.2.tar.gz |
|---|---|
| Size | 11.3 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? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.6.8
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Release files / abra-1.4.2-py3-none-any.whl
| Download URL | abra-1.4.2-py3-none-any.whl |
|---|---|
| Size | 14.2 kB |
| Tags | Python 3 |
|
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? |
No |
| Uploaded via |
twine/3.3.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/50.3.0 requests-toolbelt/0.9.1 tqdm/4.42.1 CPython/3.6.8
|
Security for abra 1.4.2
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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