adding tools and editing CONTRIBUTING.md for quick venv setup (#763)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>

Author: arnodelorme

CONTRIBUTING.md

@@ -28,6 +28,17 @@ For some quality checks and rare operations, you will need node.js and npm. -->
 Even though this is not required,
 having `make` installed will make it easier to easily serve the website locally.
 
+### Quick setup with venv
+
+For a minimal setup using Python's venv:
+
+```bash
+python -m venv .venv
+source .venv/bin/activate  # On Windows: .venv\Scripts\activate
+pip install -r requirements.txt
+mkdocs serve
+```
+
 ### Install and serve
 
 Fork and clone the repository and its submodules

data/tools/converters.yml

@@ -279,21 +279,25 @@
     comment: A tool for converting raw EEG and iEEG data into the BIDS standard data structure, prepared for LORIS (Longitudinal Online Research and Imaging
         System).
 
--   name: EEGLAB
+-   name: EEGLAB EEG-BIDS
     repo_url: https://github.com/sccn/eeglab
     status: active
     data_types:
     -   MEG
     -   EEG
+    -   iEEG
     expected_input:
     -   EDF
     -   BDF
     -   Brain Vision Exchange Format
     -   EEGLAB .set files
+    -   BIDS
     language:
     -   MATLAB
+    -   Compiled
     documentation: https://eeglab.org/tutorials/04_Import/BIDS.html
-    comment: <a href='https://github.com/arnodelorme/bids-MATLAB-tools'>See plugins</a>
+    comment: EEGLAB with <a href='https://eeglab.org/plugins/EEG-BIDS/'>EEG-BIDS plugin</a> for importing and exporting BIDS datasets. Supports export to
+        NWB format for iEEG data. A compiled standalone version is also available.
 
 -   name: Explore ASL
     repo_url: https://github.com/ExploreASL/ExploreASL

data/tools/tools.yml

@@ -38,6 +38,55 @@
     category: analysis
     description: MEG/EEG analysis package
 
+-   name: EEGLAB EEG-BIDS plugin
+    repo_url: https://github.com/sccn/EEG-BIDS
+    documentation: https://github.com/sccn/EEG-BIDS/wiki
+    url: https://eeglab.org/plugins/EEG-BIDS/
+    language:
+    -   MATLAB
+    category: analysis
+    description: EEGLAB plugin for importing and exporting BIDS-formatted experiments. Handles conversion from multiple data formats including EEGLAB .set
+        files, EDF, BDF, and Brain Vision Exchange Format. Supports EEG, iEEG, and MEG data with export to NWB format for iEEG data.
+
+-   name: EEGBIDS standalone
+    repo_url: https://github.com/sccn/EEG-BIDS
+    documentation: https://github.com/sccn/EEG-BIDS/wiki
+    url: https://eeglab.org/plugins/EEG-BIDS/
+    language:
+    -   MATLAB
+    -   executable
+    category: file handling
+    description: Standalone compiled MATLAB version of the EEG-BIDS plugin with a graphic interface wizard. Available as part of the compiled EEGLAB distribution
+        (EEGBIDS executable on Mac, EEGBIDS.bat on Windows). Does not require a paid MATLAB license. Allows importing and exporting BIDS-formatted EEG/MEG/iEEG
+        data and converting BIDS to NWB format for iEEG data.
+
+-   name: EEGPrep
+    repo_url: https://github.com/sccn/eegprep
+    documentation: https://eegprep.org/
+    url: https://eegprep.org/
+    language:
+    -   Python
+    category: analysis
+    description: Python library to import and process BIDS datasets and output valid derivative BIDS. Implements the EEGLAB default pipeline in Python with
+        Clean_rawdata and ICLabel for artifact removal, channel cleaning, and automated component classification. Made by the developers of EEGLAB.
+    distribution:
+    -   name: pypi
+        url: https://pypi.org/project/eegprep/
+
+-   name: EEGDash
+    repo_url: https://github.com/sccn/EEG-Dash-Data
+    documentation: https://eegdash.org/
+    url: https://eegdash.org/
+    language:
+    -   Python
+    category: index and query
+    description: Data-sharing resource for MEEG (EEG, MEG, iEEG) data enabling large-scale computational advancements. Aggregates datasets from 25 laboratories
+        with over 27,000 participants including healthy subjects and clinical populations. Provides dataset catalog, search capabilities, and comprehensive
+        API for programmatic access. Returns PyTorch Datasets for machine learning applications with support for BIDS-formatted datasets.
+    distribution:
+    -   name: pypi
+        url: https://pypi.org/project/eegdash/
+
 -   name: File mapper
     repo_url: https://github.com/DCAN-Labs/file-mapper
     language:
@@ -65,7 +114,7 @@
 
 -   name: Hierarchical Event Descriptors (HED) Python tools
     repo_url: https://github.com/hed-standard/hed-Python
-    documentation: https://www.hed-resources.org
+    documentation: https://www.hedtags.org/
     language:
     -   Python
     category: data annotation
@@ -76,7 +125,7 @@
 
 -   name: Hierarchical Event Descriptors (HED) online tools
     url: https://hedtools.org/hed
-    documentation: https://www.hed-resources.org
+    documentation: https://www.hedtags.org
     language:
     -   website
     category: data annotation