Web Annotation Working Group repository, see README for links to specs
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Web Annotation Working Group repository, see README for links to specs
SpeCT - Speech Corpus Toolkit for Praat. Documentation: https://lennes.github.io/spect/
Evidence & Conclusion Ontology development site: Use ISSUES to request terms. See WIKI for how to request terms. See README for how to cite ECO. Visit our website for more project info.
A tool for domain based annotation with databases from the Conserved Domains Database
🦋 an experimental writing and publishing application for materials-based composition
Stand-off Text Annotation Model (STAM) is a data model for stand-off-text annotation where any information on a text is represented as an annotation. This repository contains the model's full specification, extensions, schemas, examples and documentation.
SPECCER was originally created to simplify documenting components in a design system, but it can be used to annotate or highlight any HTML element on a webpage. If you need to draw attention to elements, SPECCER is your tool!
A simple script to create a customizable html file from an AnnotSV output.
A framework to annotate SVs with previous known SVs (vcf file) and or with genomic features (gff and or bed files)
A platform for targeted annotation of (meta)genomic and (meta)transcriptomic datasets using HMM sets.
Web-based tool for straight-forward class annotation of audio files
Annotate signal, timeseries, waveforms...
Yet another single-cell analysis toolkit
Annotation Tool for Instance Segmentation of Grid Structures (deprecated in favour of Grid Annotation Tool 2)
An online annotation platform for teaching and learning in the humanities.
Site de présentation du projet PIAF: pour une IA francophone
Ontology for the semantic annotation of natural history collections
Metfrag for Galaxy
datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.
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