tekst
A collaborative research platform for resources on natural language texts
Science Score: 65.0%
This score indicates how likely this project is to be science-related based on various indicators:
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✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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✓Institutional organization owner
Organization vedawebproject has institutional domain (vedaweb.uni-koeln.de) -
○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.0%) to scientific vocabulary
Keywords
Repository
A collaborative research platform for resources on natural language texts
Basic Info
- Host: GitHub
- Owner: VedaWebProject
- License: agpl-3.0
- Language: Python
- Default Branch: main
- Homepage: https://vedawebproject.github.io/Tekst/
- Size: 12.5 MB
Statistics
- Stars: 10
- Watchers: 1
- Forks: 1
- Open Issues: 52
- Releases: 0
Topics
Metadata Files
README.md
Tekst <!-- omit in toc -->
A collaborative, web-based research platform for aligning, linking, publishing, exploring and enriching resources on natural language texts.
[!IMPORTANT] Tekst is still in development. We're currently testing Tekst internally and implementing the last missing bits. As soon as we're ready for it, the new VedaWeb platform will become the first public instance of Tekst. Until then, you are welcome to follow the development in this very repository.
Tekst is developed within the scope of the VedaWeb 2.0 research project on Old Indic texts, where it constitutes the technical basis of the research platform "VedaWeb", which will be launched in its new form as part of the project's efforts.
Manual
You are looking for information on concepts, use cases, features, setup, deployment or administration of the Tekst platform?
📖 Click here for the Tekst manual!
Publications
We presented our vision for a collaborative text research platform at the DH2023 conference (Digital Humanities 2023. Collaboration as Opportunity, Graz, Austria, 10-14 July 2023). You can find the abstract of our presentation here!
Contributing
Please see the contributing guidelines.
Development
Projects and technologies
This is a monorepo containing the codebases of the following parts of the Tekst platform:
| Directory | Technologies |
| --- | --- |
| Tekst-API/ (server) | Python, Pydantic, FastAPI, FastAPI-Users, Beanie, MongoDB, Elasticsearch, ... |
| Tekst-Web/ (client) | TypeScript, Vue.js 3, Pinia, Naive UI, Vue I18n, OpenAPI-TypeScript & OpenAPI-Fetch, ... |
| docs/ (Documentation and user manual, to be found here) | MkDocs, Material for MkDocs, PyMdown Extensions |
Where applicable, the different project directories contain their own respective README.md files covering the development tooling and overall project setup.
Owner
- Name: VedaWeb Project
- Login: VedaWebProject
- Kind: organization
- Location: Cologne (DE), Wuppertal (DE), Würzburg (DE), Freiburg (DE)
- Website: https://vedaweb.uni-koeln.de
- Repositories: 10
- Profile: https://github.com/VedaWebProject
A web-based, open-access platform for linguistic research on old indic texts
Citation (CITATION.cff)
# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Tekst
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Börge
family-names: Kiss
orcid: 'https://orcid.org/0000-0002-2649-1747'
affiliation: CCeH, University of Cologne
repository-code: 'https://github.com/VedaWebProject/Tekst'
url: 'https://vedawebproject.github.io/Tekst'
abstract: >-
Tekst is a collaborative, web-based research platform for
aligning, displaying, linking, exploring, and enriching
resources on natural language texts.
keywords:
- research software
- linguistics
- platform
- collaboration
license: AGPL-3.0
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 276
- Total pull requests: 341
- Average time to close issues: 28 days
- Average time to close pull requests: about 21 hours
- Total issue authors: 1
- Total pull request authors: 3
- Average comments per issue: 0.29
- Average comments per pull request: 0.01
- Merged pull requests: 257
- Bot issues: 0
- Bot pull requests: 319
Past Year
- Issues: 177
- Pull requests: 332
- Average time to close issues: 10 days
- Average time to close pull requests: about 22 hours
- Issue authors: 1
- Pull request authors: 3
- Average comments per issue: 0.29
- Average comments per pull request: 0.02
- Merged pull requests: 248
- Bot issues: 0
- Bot pull requests: 319
Top Authors
Issue Authors
- bkis (442)
- renovate[bot] (6)
- an-fischer (5)
Pull Request Authors
- renovate[bot] (478)
- bkis (54)
- an-fischer (2)
- schlusslicht (2)