SlicerGitSVNArchive

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SlicerGitSVNArchive is an open-source software tool for visualization and image computing. It is multi-platform and designed to support software development, though it is marked as obsolete.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is SlicerGitSVNArchive?

SlicerGitSVNArchive is a multi-platform, free, and open-source software package specifically designed for visualization and image analysis. While marked as obsolete, it historically served as a foundational tool for developers in the medical imaging and computing fields. It supports various platforms including Windows, Linux, and Mac OS X, and provides resources for community announcements, support, documentation, and tutorials. The project's codebase is primarily in C++ and Python, indicating its technical nature and utility for complex image processing tasks. It was developed with contributions from institutions like the National Institutes of Health (NIH) and Kitware, highlighting its scientific and research-oriented background.

Best used for

Ideal for developers and data scientists who need to conduct multi-platform image analysis, scientific visualization, and medical image computing. Especially valuable for those working on research projects in neuroimaging, segmentation, and 3D printing applications within an open-source framework.

Common actions

perform image analysis

visualize data

develop scientific software

process medical images

collaborationopen-sourceworkflowsface swappinggithub copilotlow-code/no-code"AI Agents"deepfakeautomated workflow

Capabilities

Key features

Multi-platform support
Image analysis
Visualization
Open-source software
C++/Python codebase

Target Audience

developerdata scientist

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

Is SlicerGitSVNArchive still actively maintained?

No, the project is explicitly marked as 'OBSOLETE' on its GitHub repository. While the code is still available, it is no longer actively developed or supported, and users should look for more current alternatives for their projects.

What kind of image computing tasks can SlicerGitSVNArchive handle?

Historically, it was designed for multi-platform visualization and image analysis, including tasks like medical imaging, registration, neuroimaging, and segmentation. It also supported applications in 3D printing and image-guided therapy.

What programming languages are primarily used in SlicerGitSVNArchive?

The project's codebase is predominantly written in C++ (82.9%) and Python (9.5%), with smaller contributions in CMake, C, Shell, and Tcl. This indicates its technical depth and flexibility for developers.

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Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

Data & Analytics › Data Visualization

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