{"id":20956447,"url":"https://github.com/bluebrain/circuit-model-suite","last_synced_at":"2025-12-29T02:17:12.176Z","repository":{"id":80075261,"uuid":"500867624","full_name":"BlueBrain/circuit-model-suite","owner":"BlueBrain","description":null,"archived":false,"fork":false,"pushed_at":"2024-06-04T06:04:07.000Z","size":34,"stargazers_count":3,"open_issues_count":0,"forks_count":4,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-01-19T23:38:39.250Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/BlueBrain.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-07T14:08:43.000Z","updated_at":"2025-01-13T06:05:17.000Z","dependencies_parsed_at":"2024-06-03T09:43:57.676Z","dependency_job_id":"4a7acf32-8b50-4475-8d3d-6730a6dc7e6f","html_url":"https://github.com/BlueBrain/circuit-model-suite","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BlueBrain%2Fcircuit-model-suite","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BlueBrain%2Fcircuit-model-suite/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BlueBrain%2Fcircuit-model-suite/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/BlueBrain%2Fcircuit-model-suite/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/BlueBrain","download_url":"https://codeload.github.com/BlueBrain/circuit-model-suite/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":243352037,"owners_count":20276916,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-19T01:26:01.927Z","updated_at":"2025-12-29T02:17:12.128Z","avatar_url":"https://github.com/BlueBrain.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Circuit Model Suite\nA suite to build, analyze and visualize circuits.\n\n- [Neurodamus](#neurodamus) - BBP Simulation Control application for NEURON.\n- [CoreNeuron](#coreneuron) — Optimised simulator engine for NEURON.\n- [Snap](#snap) — Blue Brain Simulation and Neural network Analysis Productivity layer.\n- [BlueETL](#blueetl) - Multiple simulations analysis tool.\n- [ConnectomeUtilities](#connectomeutilities) — Complex network representation and analysis layer.\n- [ConnectomeManipulator](#connectomemanipulator) - A connectome manipulation framework for SONATA circuits .\n- [Functionalizer](#functionalizer) - Create a functional connectome from physical connections between cells.\n- [Brayns](#brayns) — Visualizer for large-scale and interactive ray-tracing of neurons.\n- [libsonata](#libsonata) — C++ / Python reader for SONATA circuit files.\n- [BioExplorer](#bioexplorer) - Extract and analyze scientific data for visualization and interactive exploration.\n\n\n\n## [Neurodamus](https://github.com/BlueBrain/Neurodamus)\n\u003cimg alt=\"neurodamus Banner\" src=\"https://github.com/BlueBrain/neurodamus/blob/publication/nbS1-2023/docs/img/neurodamus_banner_230701.png\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/neurodamus),\n[Documentation](https://github.com/BlueBrain/neurodamus#readme).\n\n**BBP Simulation Control application for NEURON**\n\nNeurodamus is a BBP Simulation Control application for the NEURON simulator. The Python implementation offers a comprehensive Python API for fine tunning of the simulation, defined by a configuration file in SONATA format.\n\n\n## [CoreNeuron](https://github.com/BlueBrain/CoreNeuron)\n\u003cimg alt=\"CoreNEURON Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/CoreNeuron/master/docs/_static/bluebrain_coreneuron.jpg\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/CoreNeuron),\n[Documentation](https://github.com/BlueBrain/CoreNeuron#readme).\n\n**Optimised simulator engine for NEURON**\n\nCoreNEURON is a compute engine for the NEURON simulator optimized for both memory usage and computational speed. Its goal is to simulate large cell networks with small memory footprint and optimal performance.\n\n\n## [Snap](https://github.com/BlueBrain/snap)\n\u003cimg alt=\"Snap Banner\" src=\"https://github.com/BlueBrain/snap/raw/master/doc/source/_images/BlueBrainSNAP.jpg\" width=\"600\"/\u003e\n\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/snap),\n[Documentation](https://bluebrainsnap.readthedocs.io/).\n\n**Blue Brain Simulation and Neural network Analysis Productivity layer (Blue Brain SNAP)**\n\nBlue Brain SNAP is a Python library for accessing BlueBrain circuit models represented in SONATA format.\n\n\n## [BlueETL](https://github.com/BlueBrain/blueetl)\n\u003cimg alt=\"BlueETL Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/blueetl/main/doc/source/_images/BlueETL.jpeg\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/blueetl),\n[Documentation](https://blueetl.readthedocs.io/).\nCore transformations:\n[GitHub repo](https://github.com/BlueBrain/blueetl-core),\n[Documentation](https://blueetl-core.readthedocs.io/).\n\n**Multiple simulations analysis tool**\n\n\n## [ConnectomeUtilities](https://github.com/BlueBrain/ConnectomeUtilities)\n\u003cimg alt=\"ConnectomeUtilities Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/ConnectomeUtilities/main/banner-ConnectomeUtilities.jpg\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/ConnectomeUtilities)\n\n**Complex network representation and analysis layer**\n\nIt simplifies running topological analyses on detailed models of networks by providing a bridge between existing analyses and the model representation.\n\n## [ConnectomeManipulator](https://github.com/BlueBrain/connectome-manipulator)\n\u003cimg alt=\"ConnectomeManipulator Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/connectome-manipulator/main/BPP-Connectome-Manipulator-Banner.jpg\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/connectome-manipulator)\n\n**Connectome manipulation framework for SONATA circuits**\n\nThe framework allows for rapid connectome manipulations of biophysically detailed network models in SONATA format, the standard for large-scale network models. Manipulations can be targeted to entire models, specific sub-networks, or even single neurons, ranging from insertion or removal of specific motifs to complete rewiring based on stochastic connectivity models at various levels of complexity.\n\n## [Functionalizer](https://github.com/BlueBrain/functionalizer)\n\u003cimg alt=\"Functionalizer Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/functionalizer/main/doc/source/_static/banner.jpg\" width=\"600\"/\u003e\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/functionalizer)\n\n**Create a functional connectome from physical connections between cells**\n\nFunctionalizer is a tool for filtering the output of a touch detector (the \"touches\") according to morphological models, given in in the form of recipe prescription as described in the SONATA extension.\n\n\n## [Brayns](https://github.com/BlueBrain/Brayns)\n\u003cimg alt=\"Brayns Banner\" src=\"https://raw.githubusercontent.com/BlueBrain/Brayns/master/doc/banner.jpg\" width=\"600\"/\u003e\n\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/Brayns),\n[Documentation](https://github.com/BlueBrain/Brayns#readme).\n\n**Visualizer for large-scale and interactive ray-tracing of neurons**\n\nBrayns is a minimalistic visualizer that can perform ray-traced rendering of neurons. It provides an abstraction of the underlying rendering engines so that the best possible acceleration libraries can be used for the relevant hardware.\n\n\n## [libsonata](https://github.com/BlueBrain/libsonata)\n\u003cimg alt=\"Snap Banner\" src=\"https://github.com/BlueBrain/libsonata/raw/master/docs/source/_images/libSonataLogo.jpg\" width=\"600\"/\u003e\n\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/libsonata),\n[Documentation](https://github.com/BlueBrain/libsonata#readme).\n\n**C++ / Python reader for SONATA circuit files**\n\n## [BioExplorer](https://github.com/BlueBrain/BioExplorer)\n\u003cimg alt=\"BioExplorer Banner\" src=\"https://github.com/BlueBrain/BioExplorer/raw/master/bioexplorer/pythonsdk/notebooks/bioexplorer_banner.png\" width=\"600\"/\u003e\n\n**The Blue Brain BioExplorer is a tool for scientists to extract and analyze scientific data for visualization and interactive exploration**\n\nExploration relies on building software that combines data integration, analysis and interactive visualization to build, modify and navigate through large scientific datasets. For this, Blue Brain built and open-sourced the Blue Brain BioExplorer. It was originally developed to answer key scientific questions related to the Coronavirus as a use case and to deliver a visualization tool. Today, the BioExplorer allows to reconstruct, visualize, explore, and describe in detail the structure and function of highly-detailed biological structures such as molecular systems, neurons, astrocytes, blood vessels, and more. You can see the first application of the BioExplorer in [A Machine-Generated View of the Role of Blood Glucose Levels in the Severity of COVID-19](https://www.frontiersin.org/articles/10.3389/fpubh.2021.695139/full?utm_source=F-NTF\u0026utm_medium=EMLX\u0026utm_campaign=PRD_FEOPS_20170000_ARTICLE) study.\n\nUseful links:\n[GitHub repo](https://github.com/BlueBrain/BioExplorer),\n[Documentation](https://bluebrain.github.io/BioExplorer/).\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbluebrain%2Fcircuit-model-suite","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fbluebrain%2Fcircuit-model-suite","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fbluebrain%2Fcircuit-model-suite/lists"}