working ta-lib in python 3.11
212
A lightweight Docker image with Python 3.11, TA-Lib 0.6.1, and NumPy 1.26.4 preinstalled ā built to save you hours of debugging TA-Lib build issues on modern Python versions.
š What's Inside
-> Python 3.11
-> TA-Lib 0.6.1 (compiled with C library)
-> NumPy 1.26.4 (compatible with TA-Lib 0.6.1)
š„ Quick Start -> docker pull techtrader/python-ta-lib
Use it in your Dockerfile:
FROM techtrader/python-ta-lib
WORKDIR /app COPY . . RUN pip install -r requirements.txt CMD ["python", "app.py"]
ā Perfect for -> Crypto apps using TA-Lib indicators
-> Trading strategy backtesting environments
-> Jupyter notebooks with TA-Lib support
-> Lightweight Python environments for technical analysis
š Why This Exists TA-Lib can be difficult to compile on recent Python versions, especially inside Docker containers. This image provides a pre-built and ready-to-use setup, saving developers time and effort.
š³ Docker Hub š techtrader/python-ta-lib
Content type
Image
Digest
sha256:c778fa86cā¦
Size
212.6 MB
Last updated
over 1 year ago
docker pull techtrader/python-ta-lib:3.11