3rd release of neuro-conda with a few updates.
Added
- ephyviewer 1.5
Updated
- dataconf 2.1 → 2.5
- dipy 1.7 → 1.8
- elephant 0.14 → 1.0
- esi-acme 2023.4 → 2023.12
- esi-syncopy 2023.5 → 2023.9
- h5py 3.9 → 3.10
- mne 1.5 → 1.6
- mne-icalabel 0.4 → 0.6
- mne-nirs 0.5 → 0.6
- neo 0.12 → 0.13
- pywavelets 1.4 → 1.5
- scikit-image 0.20 → 0.22
- scikit-learn 1.3 → 1.4
- scipy 1.11 → 1.12
- spikeinterface 0.98 → 0.100
- tensorflow 2.14 → 2.15
- torch 2.1 → 2.2
Removed
- r-base
- r-irkernel
2nd release of neuro-conda with a few new packages and updates.
Added
- spikeinterface-gui (#21)
- neurotic (#22)
- spyking-circuse (#24)
- black, pylint, flake, pep8-naming (#34)
- mat73 (#35)
- pynapple (#37)
- suite2p (#39)
- brian2 (#40)
- neurokit2 (#41)
- tensorflow-datasets
- sbxreader
Updated
- numpy 1.23 → 1.24
- scipy 1.10 → 1.11
- matplotlib 3.6 → 3.7
- pandas 1.5 → 2.1
- dipy 1.5 → 1.7
- mne 1.3 → 1.5
- mne-realtime 0.2 → 0.3
- mne-rsa 0.8 → 0.9
- mne-features 0.2 → 0.3
- mne-bids-pipeline 1.1 → 1.4
- eelbrain 0.38 → 0.39
- pytest 7.2 → 7.4
- h5py 3.8 → 3.9
- pynwb 2.3 → 2.5
- esi-acme 2022.12 → 2023.4
- esi-syncopy 2022.12 → 2023.5
- dask 2022.10 → 2023.3
- elephant 0.11 → 0.14
- viziphant 0.2 → 0.3
- foof 1.0 → 1.1
- bycycle 1.0 → 1.1
- spikeinterface 0.97 → 0.98
- torch 1.13 → 2.1
- torchvision 0.14.1 → 0.16
- torchaudio 0.13.1 → 2.1
- opencv 4.7 → 4.8
- tensorflow 2.11 → 2.14
- scikit-learn 1.2 → 1.3
- pybids 0.15 → 0.16
- nitime 0.9 → 0.10
Initial release of neuro-conda including
- bycycle
- dipy
- elephant + viziphant
- esi-syncopy
- fooof
- intensity-normalization
- mne including the extensions alphaCSC, eelbrain, invertmeeg (only on Linux), mne-ari, mne-bids, mne-bids-pipeline, mne-connectivity, mne-features, mne-icalabel, mnelab, mne-microstates, mne-nirs, mne-realtime, mne-rsa, pactools, pyprep, sesameeg
- neo
- neurodsp
- nibabel + napari-nibabel
- nilearn
- nipype
- nitime (only on Windows and Linux)
- nixio
- pybids
- pydicom + deid
- pynwb
- spikeinterface
Other included non-neuroscience packages are (see the environment files for details)
On Linux, several machine-learning tools are installed as well: