STACKQUADRANT

tigerlab-ai/tiger

Fine-tuning Tools

Open Source LLM toolkit to build trustworthy LLM applications. TigerArmor (AI safety), TigerRAG (embedding, RAG), TigerTune (fine-tuning)

4.3
GitHub Metrics
Stars
401
Forks
27
Open Issues
7
Watchers
9
Contributors
8
Weekly Commits
0
Language
Jupyter Notebook
License
Apache-2.0
Last Commit
Dec 2, 2023
Created
Oct 23, 2023
Latest Release
Release Date
Synced: Apr 16, 2026
Quality Scores
Documentation Qualityw: 20%
5.9

Has docs site (https://www.tigerlab.ai). Description: 137 chars. Stars signal: 401. Contributors: 8. Score: 5.9/10

Community Healthw: 20%
3.8

Stars: 401. Contributors: 8. Watchers: 9. Forks: 27. Issue ratio: 1.7%. Score: 3.8/10

Maintenance Velocityw: 15%
1.0

Last commit: 866d ago. Weekly commits: 0. No releases published. Maturity bonus: 2.5y old. Score: 1/10

API Design & DXw: 20%
7.1

Stars/issues ratio: 57. Has documentation site. Permissive license: Apache-2.0. Popularity signal: 401 stars. Score: 7.1/10

Production Readinessw: 15%
2.3

Battle-tested: 401 stars. Peer review: 8 contributors. No versioned releases. Licensed: Apache-2.0. Age: 2.5 years. Maintenance: last commit 866d ago. Score: 2.3/10

Ecosystem Integrationw: 10%
4.8

Fork interest: 27. Ecosystem: Jupyter Notebook. Integration-friendly: Apache-2.0. Adoption: 401 stars. Has web presence. Score: 4.8/10

Tags
ai-safetyaisafetyclassificationdata-augmentationfine-tuninglarge-language-modelsllmllm-trainingrag
Radar
Documentation Quality
Community Health
Maintenance Velocity
API Design & DX
Production Readiness
Ecosystem Integration