===================================================
Nitime: timeseries analysis for neuroscience data
===================================================
Nitime contains a core of numerical algorithms for time-series analysis both in
the time and spectral domains, a set of container objects to represent
time-series, and auxiliary objects that expose a high level interface to the
numerical machinery and make common analysis tasks easy to express with compact
and semantically clear code.
Website
=======
Current information can always be found at the NIPY website is located
here::
http://nipy.org/nitime
Mailing Lists
=============
Please see the developer's list here::
https://mail.python.org/mailman/listinfo/neuroimaging
Code
====
You can find our sources and single-click downloads:
* `Main repository`_ on Github.
* Documentation_ for all releases and current development tree.
* Download as a tar/zip file the `current trunk`_.
* Downloads of all `available releases`_.
.. _main repository: http://github.com/nipy/nitime
.. _Documentation: http://nipy.org/nitime
.. _current trunk: http://github.com/nipy/nitime/archives/master
.. _available releases: http://github.com/nipy/nitime/downloads
License information
===================
Nitime is licensed under the terms of the new BSD license. See the file
"LICENSE" for information on the history of this software, terms & conditions
for usage, and a DISCLAIMER OF ALL WARRANTIES.
All trademarks referenced herein are property of their respective holders.
Copyright (c) 2006-2023, NIPY Developers
All rights reserved.
Release files for nitime 0.11
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nitime-0.11.tar.gz | 6.2 MB | Details |
Built distributions (wheels)
Total release size:121.0 MB
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Release files / nitime-0.11-cp312-cp312-win_amd64.whl
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twine/5.1.0 CPython/3.12.4
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Release files / nitime-0.11-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | nitime-0.11-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 Linux glibc 2.5+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / nitime-0.11-cp38-cp38-macosx_11_0_arm64.whl
| Download URL | nitime-0.11-cp38-cp38-macosx_11_0_arm64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | CPython 3.8 macOS 11.0+ ARM64 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.0 CPython/3.12.4
|
Release files / nitime-0.11-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | nitime-0.11-cp38-cp38-macosx_10_9_x86_64.whl |
|---|---|
| Size | 4.1 MB |
| Tags | CPython 3.8 macOS 10.9+ x86-64 |
|
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/5.1.0 CPython/3.12.4
|
