IndoNLP/indonlu

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)

640 213 +0/wk

GitHub

aacl bahasa benchmark bert datasets indo4b indobert indobert-lite indobert-models indonesian indonlp indonlu

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 640

forks 213

Growth Velocity

IndoNLP/indonlu has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	indonlu	autoprompt	BERT4doc-Classification	GITM
Stars	640	640	641	638
Forks	213	87	101	25
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Python	Python	N/A
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	Apache-2.0	N/A

Capability Radar vs autoprompt

indonlu

autoprompt

Maintenance Activity 0

Last code push 508 days ago.

Community Engagement 100

Fork-to-star ratio: 33.3%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.