Scripts
importeddevices/scripts
:microscope::cocktail: Home of the ImageJ BAR: A collection of Broadly Applicable Routines for ImageJ
Machine-generated from the listed sources and not yet reviewed by a human.
- Category
- Devices & Hardware
- Subcategory
- unknown
- License
- GPL-3.0(osi)
- Status
- dormant
- Maturity
- deployed
- Organization
- unknown
- Country
- unknown
- Homepage
- imagej.net/BAR
- Repository
- github.com/tferr/Scripts
- Documentation
- unknown
- Tags
- beanshell · clojure · groovy · ijm · image-analysis · imagej · imagej2 · java
- Regulatory
- unknown
Top contributors by commit count, from the project’s public repository. Avatars are served by their origin, not stored here. To be removed from this list, open an issue.
Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.
- BioImagerimagej
A .NET microscopy imaging application based on Bio library. Supports various microscopes by using imported libraries & GUI automation. Supports XInput game controllers to move stage, take images,…
- hermesclojure
A library and microservice implementing the health and care terminology SNOMED CT with support for cross-maps, inference, fast full-text search, autocompletion, compositional grammar and the…
- pipehatclojure
Read and write vertical bar encoded HL7 v2.x messages.
- BioGTKimagej
A cross platform version of Bio library & program. Bio is a library & program for annotating, & editing various microscopy imaging formats using Bioformats supported images. including whole slide,…
- cdkbookgroovy
Groovy Cheminformatics with the Chemistry Development Kit
- flikaimagej
An interactive image processing program for biologists written in Python.
- api.github.com/repos/tferr/Scriptsretrieved 2026-08-05 · via github-api
Machine-imported from GitHub search. Last push 2022-06-03, 26 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.
Not yet verified by a human. Correct this record →
/v1/entries/27.json→ .entries["scripts"]
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