{"id":48289524,"url":"https://github.com/datadrivenconstruction/visualbim","last_synced_at":"2026-04-04T23:01:53.927Z","repository":{"id":189533187,"uuid":"433945250","full_name":"datadrivenconstruction/VisualBIM","owner":"datadrivenconstruction","description":null,"archived":false,"fork":false,"pushed_at":"2023-12-18T15:04:17.000Z","size":31,"stargazers_count":12,"open_issues_count":0,"forks_count":3,"subscribers_count":1,"default_branch":"main","last_synced_at":"2023-12-18T16:43:26.769Z","etag":null,"topics":["bigdata","construction","dash","data-visualization","ifc","plotly","plotly-dash","revit","visualization","visualization-tools"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/datadrivenconstruction.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2021-12-01T18:43:30.000Z","updated_at":"2023-12-18T16:43:29.872Z","dependencies_parsed_at":"2023-12-18T16:43:29.729Z","dependency_job_id":"aaba09bf-8fc3-456f-9065-3bf5e89f4901","html_url":"https://github.com/datadrivenconstruction/VisualBIM","commit_stats":null,"previous_names":["opendatabim/visualbim","datadrivenconstruction/visualbim"],"tags_count":0,"template":null,"template_full_name":null,"purl":"pkg:github/datadrivenconstruction/VisualBIM","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadrivenconstruction%2FVisualBIM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadrivenconstruction%2FVisualBIM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadrivenconstruction%2FVisualBIM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadrivenconstruction%2FVisualBIM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/datadrivenconstruction","download_url":"https://codeload.github.com/datadrivenconstruction/VisualBIM/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/datadrivenconstruction%2FVisualBIM/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31418287,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-04T20:09:54.854Z","status":"ssl_error","status_checked_at":"2026-04-04T20:09:44.350Z","response_time":60,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"can_crawl_api":true,"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":["bigdata","construction","dash","data-visualization","ifc","plotly","plotly-dash","revit","visualization","visualization-tools"],"created_at":"2026-04-04T23:01:44.896Z","updated_at":"2026-04-04T23:01:53.917Z","avatar_url":"https://github.com/datadrivenconstruction.png","language":"Python","readme":"# Parametric visualization of your project data for Revit and IFC files\nAny medium-sized construction project is a source of big data with hundreds of thousands of different elements, which in turn have tens or hundreds of different parameters or properties. Up from now to properly understand this data you can use the BIMEXCEL format to visualize all the information on all elements and its properties as a multidimensional point cloud.\n\nOpen App:  http://visualbim.bimopensource.com/\n\n### Screenshots\n![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/12/ezgif.com-gif-maker-_2_.gif)\n\n#  Seeing changes visually\n\nIn the first version of the project within the visualization on the left is the sum of volumes for the foundation Bearing Footing – 700×230 – 11 m³. In the second version of the project, the dimensions of the foundations were changed, which affected the total volume – 147 m³ of the position and is displayed in the visualization by an enlarged group symbol. \n\n\n![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/12/Unbenannt-2.png)\n## Find data outliers and insights\nSuch a visual matrix of projects can be compared to a snapshot of the lung or unique DNA of a particular project or project area.\n\nHaving a large base of such images (or DNA), we can by similarity (approximation), as machine algorithms do it from lung images or images of people for lidars, to determine cost or time characteristics for similar parts or whole new projects that will consist of similar pieces of old projects.\n\n![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/10/Ein-bisschen-Text-hinzufugen-3.png)\n\n\n## Built With\n\n-   [Dash](https://dash.plot.ly/)  - Main server and interactive components\n-   [Plotly Python](https://plot.ly/python/)  - Used to create the interactive plots\n\n\n## Requirements\n\nWe suggest you to create a separate virtual environment running Python 3 for this app, and install all of the required dependencies there. Run in Terminal/Command Prompt:\n\n```\ngit clone https://github.com/DataDrivenConstruction/VisualBIM.git\ncd VisualBIM\npython3 -m virtualenv venv\n\n```\n\nIn UNIX system:\n\n```\nsource venv/bin/activate\n\n```\n\nIn Windows:\n\n```\nvenv\\Scripts\\activate\n\n```\n\nTo install all of the required packages to this environment, simply run:\n\n```\npip install -r requirements.txt\n\n```\n\nand all of the required  `pip`  packages, will be installed, and the app will be able to run.\n\n## [](https://github.com/plotly/dash-sample-apps/tree/main/apps/dash-manufacture-spc-dashboard#how-to-use-this-app)How to use this app\n\nRun this app locally by:\n\n```\npython index.py\n\n```\n\nOpen  [http://0.0.0.0:3000/](http://0.0.0.0:3000/)  in your browser, you will see a live-updating dashboard.\n\n# DataDrivenConstruction\nhttps://DataDrivenConstruction.io/\n\n\nBIMEXCEL is a format for transferring information to another party without the need for external guarantors or trusted ‘third parties’, enabling data to be exchanged within 3D-7D systems and between construction parties directly, bypassing any third-party companies controlling data storage and transfer. BIMEXCEL data – allows you to automate work with project data. In order to get automatic data from thousands of projects automatically, you need to build the pipeline once on the open tools.\n\nDataDrivenConstruction - You Way to Free Tools in Construction.\n\n### Go to  BIM 2.0  go to  Open Data\n![enter image description here](https://DataDrivenConstruction.io/wp-content/uploads/2021/10/BIM20.jpg)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadrivenconstruction%2Fvisualbim","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdatadrivenconstruction%2Fvisualbim","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdatadrivenconstruction%2Fvisualbim/lists"}