Brainlit
Summary
This repository is used for various tasks in processing, and analyzing light microscopy images of brains for the purpose of studing neuron morphology. Documentation can be found here.
Brainlit is a product of the neurodata lab and the Neuro Data Design course. It is actively maintained by Thomas Athey (@tathey1). We strive to follow the same code of conduct that applies to the Microsoft open source community.
Contributing and Questions
We welcome all contributors, and encourage them to follow our contribution guidelines gound in CONTRIBUTING.md. Issues with the "good first issue" tag are meant for contributors that are either new to open source coding, or new to the package. Additionally, users are encouraged to use issues not only to discuss code-related problems, but for more general discussions or questions about the package.
2 maintainers
Metadata
2 maintainers
Release files for brainlit 0.3.6
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| brainlit-0.3.6.tar.gz | 89.9 kB | Without provenance | Details for brainlit-0.3.6.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| brainlit-0.3.6-py3-none-any.whl | Python 3 | none | any | Details for brainlit-0.3.6-py3-none-any.whl |
Total release size: 190.0 kB
Release files / brainlit-0.3.6.tar.gz
| Download URL | brainlit-0.3.6.tar.gz |
|---|---|
| Size | 89.9 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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No |
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twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10
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Release files / brainlit-0.3.6-py3-none-any.whl
| Download URL | brainlit-0.3.6-py3-none-any.whl |
|---|---|
| Size | 100.1 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
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twine/3.4.2 importlib_metadata/4.6.4 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.8.10
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Security for brainlit 0.3.6
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