Environment:TA Lib Ta lib python Python Build Environment
| Knowledge Sources | |
|---|---|
| Domains | Infrastructure, Financial_Analysis |
| Last Updated | 2026-02-09 22:00 GMT |
Overview
Python 3.9+ environment with NumPy, Cython 3.2.4, and a C compiler for building the TA-Lib Python wrapper extension module.
Description
This environment provides the build and runtime context for the TA-Lib Python wrapper. It requires a C compiler toolchain (GCC on Linux, Clang on macOS, MSVC on Windows) to compile the Cython-generated C extension (`talib/_ta_lib.c`). The build system uses setuptools with a custom `NumpyBuildExt` command that injects NumPy's include directory into the compilation step. At runtime, the compiled extension links against the TA-Lib C shared library and requires NumPy for array operations. Optional support for Pandas and Polars DataFrames/Series is provided through a wrapper decorator that transparently converts between these types and NumPy arrays.
Usage
Use this environment for building from source, running, or developing the TA-Lib Python wrapper. This is the mandatory prerequisite for all Implementation pages in this repository. If installing from a pre-built wheel (available since version 0.6.5), the C compiler and Cython are not required at install time, but Python 3.9+ and NumPy remain required at runtime.
System Requirements
| Category | Requirement | Notes |
|---|---|---|
| OS | Linux, macOS, Windows, BSD, SunOS | Platform detection in `setup.py:16-49` |
| Hardware | Any x86_64, x86, arm64, aarch64 | Wheels built for all architectures |
| C Compiler | GCC (Linux), Clang (macOS), MSVC (Windows) | Required only for source builds |
| Build Tools | CMake, Make | Required for building TA-Lib C library from source |
| Disk | Minimal | No large dataset or model storage required |
Dependencies
System Packages
- C compiler toolchain (GCC / Clang / MSVC)
- `cmake` (for building TA-Lib C library)
- `make` (for building TA-Lib C library)
- `curl` and `unzip` (for downloading TA-Lib C source)
- `python3-dev` (Linux, for Python headers)
Python Packages (Build)
- `setuptools` (build backend)
- `wheel` (wheel packaging)
- `Cython` >= 3.2.4 (Cython-to-C compilation)
- `numpy` (build-time include headers and runtime dependency)
- `build` (PEP 517 build frontend)
Python Packages (Runtime)
- `numpy` (required)
- `pandas` (optional, for DataFrame/Series integration)
- `polars` (optional, for DataFrame/Series integration)
Python Packages (Test)
- `pytest`
- `pandas`
- `polars`
Python Packages (Development)
- `beautifulsoup4`
- `mistune`
- `Pygments`
- `build`
- `cython`
- `flake8` (linting)
Credentials
No credentials or API keys are required. All dependencies are publicly available.
Quick Install
# Install from pre-built wheel (easiest, no C compiler needed)
pip install TA-Lib
# OR install from source (requires TA-Lib C library + C compiler)
pip install numpy Cython setuptools wheel build
pip install TA-Lib --no-binary :all:
# Install optional DataFrame support
pip install pandas polars
# Install test dependencies
pip install -r requirements_test.txt
Code Evidence
Platform detection from `setup.py:16-49`:
if any(s in sys.platform for s in ['darwin', 'linux', 'bsd', 'sunos']):
platform_supported = True
include_dirs = [
'/usr/include',
'/usr/local/include',
'/opt/include',
'/opt/local/include',
'/opt/homebrew/include',
'/opt/homebrew/opt/ta-lib/include',
]
elif sys.platform == "win32":
platform_supported = True
lib_talib_name = 'ta-lib-static'
include_dirs = [
r"c:\ta-lib\c\include",
r"c:\Program Files\TA-Lib\include",
r"c:\Program Files (x86)\TA-Lib\include",
]
Environment variable override from `setup.py:51-55`:
if 'TA_INCLUDE_PATH' in os.environ:
include_dirs = os.environ['TA_INCLUDE_PATH'].split(os.pathsep)
if 'TA_LIBRARY_PATH' in os.environ:
library_dirs = os.environ['TA_LIBRARY_PATH'].split(os.pathsep)
Unsupported platform error from `setup.py:57-58`:
if not platform_supported:
raise NotImplementedError(sys.platform)
Python version requirement from `pyproject.toml:40`:
requires-python = '>=3.9'
Build system requirements from `pyproject.toml:2`:
requires = ["setuptools", "wheel", "Cython", "numpy"]
Cython fallback from `setup.py:71-76`:
try:
from Cython.Distutils import build_ext
has_cython = True
except ImportError:
from setuptools.command.build_ext import build_ext
has_cython = False
Common Errors
| Error Message | Cause | Solution |
|---|---|---|
| `Cannot find ta-lib library, installation may fail.` | TA-Lib C library not installed or not found in search paths | Install TA-Lib C library, or set `TA_LIBRARY_PATH` and `TA_INCLUDE_PATH` environment variables |
| `NotImplementedError: <platform>` | Unsupported operating system | Only Linux, macOS, Windows, BSD, SunOS are supported |
| `fatal error: ta-lib/ta_defs.h: No such file or directory` | TA-Lib C library headers not found | Install TA-Lib C library or set `TA_INCLUDE_PATH` |
| `fatal error: pyconfig.h: No such file or directory` | Python development headers missing | Install `python3-dev` package (e.g., `sudo apt-get install python3-dev`) |
| `unresolved external symbol TA_SetUnstablePeriod` | Linker cannot find TA-Lib C library | Install TA-Lib C library; on Windows, ensure 32/64-bit match |
| Build hangs | Insufficient memory on VM | Use at least 1-2 GB RAM; create a swapfile if needed |
| `No such file or directory` during `make` | Directory path contains spaces | Move source to a path without spaces |
Compatibility Notes
- Windows: Uses static library name `ta-lib-static` instead of `ta-lib`. Does not set `runtime_library_dirs`.
- macOS (Apple Silicon): May require explicit architecture with `arch -arm64 brew install ta-lib` and setting `TA_INCLUDE_PATH`/`TA_LIBRARY_PATH` via Homebrew prefix.
- macOS code signing: May encounter code signature errors; use `xcrun codesign` to fix.
- Linux ARM64: May need `./configure --build=aarch64-unknown-linux-gnu` or updated `config.guess` for TA-Lib C.
- Pre-built wheels: Available since v0.6.5 for Linux (x86_64, arm64), macOS (x86_64, arm64), Windows (x86_64, x86, arm64), Python 3.9-3.14.
- PyPy: Not supported (skipped in wheel builds via `CIBW_SKIP: "pp*"`).
- Free-threaded Python: Not supported (`cp313t*` and `cp314t*` skipped in wheel builds).
- Conda: Can install via `conda install -c conda-forge ta-lib` and the C library via `conda install -c conda-forge libta-lib`.
Related Pages
- Implementation:TA_Lib_Ta_lib_python_Setup_Py_Build
- Implementation:TA_Lib_Ta_lib_python_Pip_Install_TA_Lib
- Implementation:TA_Lib_Ta_lib_python_Build_TA_Lib_C
- Implementation:TA_Lib_Ta_lib_python_Indicator_Function_API
- Implementation:TA_Lib_Ta_lib_python_Wrapper_Decorator
- Implementation:TA_Lib_Ta_lib_python_Stream_Function_API
- Implementation:TA_Lib_Ta_lib_python_Abstract_Function_Constructor
- Implementation:TA_Lib_Ta_lib_python_TA_Initialize_Shutdown