bin123apple/AutoCoder

We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

850 72 +0/wk

GitHub

code-generation code-interpreter humaneval llm nlp nlp-machine-learning text-generation

Trend 0

Star & Fork Trend (41 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 850

forks 72

Growth Velocity

bin123apple/AutoCoder 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	AutoCoder	pipeless	LM-LSTM-CRF	PIXIU
Stars	850	849	849	848
Forks	72	53	205	114
Weekly Growth	+0	+0	+0	+0
Language	Python	Rust	Python	Jupyter Notebook
Sources	1	1	1	1
License	Apache-2.0	Apache-2.0	Apache-2.0	MIT

Capability Radar vs pipeless

AutoCoder

pipeless

Maintenance Activity 0

Last code push 641 days ago.

Community Engagement 42

Fork-to-star ratio: 8.5%. Lower fork ratio may indicate passive usage.

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.