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8	8
9	9	=== Find data ===
10	10
11		-|(% style="width:33%" %)**[[EBRAINS Knowledge Graph>>url:https://kg.ebrains.eu/]]**
12		-A user-driven, data-sharing and data-management infrastructure accelerating scientific progress by providing access to large collections of curated, heterogeneous neuroscience data.|(% style="width:33%" %)**[[KnowledgeSpace>>https://knowledge-space.org/documentation/#what_is_ks]]**
13		-Encyclopedia and open data access portal for neuroscience that serves as a framework where large-scale neuroscience projects can expose their data to the neuroscience community-at-large.|(% style="width:33%" %)**[[fairgraph>>url:https://fairgraph.readthedocs.io/en/latest/]]**
	11	+|**[[EBRAINS Knowledge Graph>>url:https://kg.ebrains.eu/]]**
	12	+A user-driven, data-sharing and data-management infrastructure accelerating scientific progress by providing access to large collections of curated, heterogeneous neuroscience data.|**[[KnowledgeSpace>>https://knowledge-space.org/documentation/#what_is_ks]]**
	13	+Encyclopedia and open data access portal for neuroscience that serves as a framework where large-scale neuroscience projects can expose their data to the neuroscience community-at-large.|**[[fairgraph>>url:https://fairgraph.readthedocs.io/en/latest/]]**
14	14	Python API for the Human Brain Project Neural Activity Resource, capable of changing, and working with Metadata|
15	15
16	16	=== Share data ===
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63	63	Web application for viewing of series of high-resolution 2D images that have been anchored to reference atlases.|**[[BluePyEfe>>url:https://bluepyefe.readthedocs.io/en/latest/]]**
64	64	BluePyEfe eases the process of reading and extracting electircal features from experimental recordings.|
65	65
66		-|(% style="width:33%" %)**[[eFEL: Electrophys Feature Extraction Library>>url:https://efel.readthedocs.io/en/latest]]**
67		-Automatically extract eFeatures from time series data recorded from neurons, both in vitro and in silico.|(% style="width:33%" %) |
68		-
69	69	=== Simulation ===
70	70
71		-|**[[Arbor>>url:https://docs.arbor-sim.org]]**
	68	+|[[**Arbor**~>~>url:https://docs.arbor-sim.org]]
72	72	Arbor is a library for implementing performance portable network simulations of multi-compartment neuron models.|**[[BluePyMM>>url:https://bluepymm.readthedocs.io/en/latest/index.html]]**
73	73	Model Management Python Library|**[[BluePyOpt>>url:https://bluepyopt.readthedocs.io/en/latest/]]**
74	74	BluePyOpt is an extensible framework for data-driven model parameter optimisation that wraps and standardizes several existing open-source tools.|