Environment:TA Lib Ta lib python TA Lib C Library
| Knowledge Sources | |
|---|---|
| Domains | Infrastructure, Financial_Analysis |
| Last Updated | 2026-02-09 22:00 GMT |
Overview
TA-Lib C library version 0.6.4, the underlying native shared library that provides 150+ technical analysis indicator functions.
Description
The TA-Lib C library is the mandatory native dependency for the TA-Lib Python wrapper. It provides the core implementation of all technical analysis indicators (SMA, RSI, BBANDS, MACD, candlestick patterns, etc.) as C functions. The Python wrapper links against this library at compile time and calls into it at runtime through a Cython-generated extension module. The library must be built and installed before the Python package can be compiled from source. On Windows, the static library variant (`ta-lib-static`) is used instead of the shared library.
Usage
This environment is required before building or installing the TA-Lib Python wrapper from source. If using pre-built binary wheels (available since v0.6.5), this library is bundled inside the wheel and does not need separate installation. This is the foundational dependency for all indicator computation, streaming, and pattern recognition implementations.
System Requirements
| Category | Requirement | Notes |
|---|---|---|
| OS | Linux, macOS, Windows | BSD and SunOS also supported |
| Build Tools | CMake, Make (Unix) or MSVC (Windows) | Required for building from source |
| Network | Internet access for download | Source archive from GitHub releases |
| Disk | ~10 MB source, ~5 MB installed | Lightweight native library |
Dependencies
System Packages (Linux)
- `cmake`
- `make`
- `gcc` or `g++`
- `curl`
- `unzip`
System Packages (macOS)
- `cmake`
- `make`
- Xcode Command Line Tools (provides `clang`)
- Or simply: `brew install ta-lib`
System Packages (Windows)
- MSVC (Visual Studio Build Tools)
- Or download pre-built MSI installer
Credentials
No credentials required. The TA-Lib C library source is publicly available on GitHub.
Quick Install
# === macOS (Homebrew) ===
brew install ta-lib
# === macOS (Apple Silicon, explicit arch) ===
arch -arm64 brew install ta-lib
export TA_INCLUDE_PATH="$(brew --prefix ta-lib)/include"
export TA_LIBRARY_PATH="$(brew --prefix ta-lib)/lib"
# === Linux (from source using CMake) ===
TALIB_C_VER=0.6.4
curl -L -o talib-${TALIB_C_VER}.zip \
https://github.com/TA-Lib/ta-lib/archive/refs/tags/v${TALIB_C_VER}.zip
unzip -q talib-${TALIB_C_VER}.zip
cd ta-lib-${TALIB_C_VER}
mkdir -p include/ta-lib/ && cp include/*.h include/ta-lib/
mkdir -p _build && cd _build
cmake -G "Unix Makefiles" -DCMAKE_BUILD_TYPE=Release \
-DCMAKE_INSTALL_PREFIX=/usr/local ..
make && sudo make install
# === Linux (from source using configure/make) ===
tar -xzf ta-lib-0.6.4-src.tar.gz
cd ta-lib-0.6.4/
./configure --prefix=/usr
make
sudo make install
# === Windows ===
# Download and run: ta-lib-0.6.4-windows-x86_64.msi
# Or download ZIP and extract to c:\ta-lib
# === Conda ===
conda install -c conda-forge libta-lib
Code Evidence
Library search and warning from `setup.py:60-68`:
for path in library_dirs:
try:
files = os.listdir(path)
if any(lib_talib_name in f for f in files):
break
except OSError:
pass
else:
warnings.warn('Cannot find ta-lib library, installation may fail.')
Library name differs on Windows from `setup.py:14,39`:
lib_talib_name = 'ta-lib' # the name as of TA-Lib 0.6.1
# ... inside win32 block:
lib_talib_name = 'ta-lib-static'
C library version used in build scripts from `tools/build_talib_linux.sh:3`:
TALIB_C_VER="${TALIB_C_VER:=0.6.4}"
TA-Lib initialization at import from `talib/__init__.py:144-145`:
_ta_initialize()
atexit.register(_ta_shutdown)
Environment variable path overrides 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)
Common Errors
| Error Message | Cause | Solution |
|---|---|---|
| `Cannot find ta-lib library, installation may fail.` | Library not found in default search paths | Install TA-Lib C or set `TA_LIBRARY_PATH` |
| `fatal error: ta-lib/ta_defs.h: No such file or directory` | C headers not installed | Install TA-Lib C or set `TA_INCLUDE_PATH` |
| `unresolved external symbol TA_Initialize` | Linker cannot find the library | On Windows, ensure 32/64-bit architecture matches Python |
| `make` fails with `No such file or directory` | Path contains spaces | Use a path without spaces |
| `make -jX` fails on first run | Parallel make race condition | Re-run `make -jX` followed by `make install` |
| ARM64 `configure` fails | Outdated `config.guess` file | Use `./configure --build=aarch64-unknown-linux-gnu` or copy newer `config.guess` |
| `Permission denied` on headers | Insufficient permissions to `/usr/include` | Install to user-accessible location or use `sudo` |
Compatibility Notes
- Version branches: TA-Lib C 0.6.1+ changed library name from `ta_lib` to `ta-lib`. This affects which Python wrapper version to use:
- `ta-lib-python` 0.4.x supports `ta-lib` C 0.4.x + NumPy 1
- `ta-lib-python` 0.5.x supports `ta-lib` C 0.4.x + NumPy 2
- `ta-lib-python` 0.6.x supports `ta-lib` C 0.6.x + NumPy 2
- Windows: Uses static linking (`ta-lib-static`) and does not use `runtime_library_dirs`.
- macOS: `DYLD_LIBRARY_PATH` must be set for wheel repair; `delocate-wheel` bundles the library into wheels.
- Linux: `LD_LIBRARY_PATH` must include the library path at runtime when not installed to standard locations. `auditwheel repair` bundles the library into manylinux/musllinux wheels.
- Conda: The `libta-lib` package from conda-forge provides the C library as an alternative to manual installation.
Related Pages
- Implementation:TA_Lib_Ta_lib_python_Build_TA_Lib_C
- 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_TA_Initialize_Shutdown
- Implementation:TA_Lib_Ta_lib_python_Indicator_Function_API
- Implementation:TA_Lib_Ta_lib_python_Stream_Function_API
- Implementation:TA_Lib_Ta_lib_python_CDL_Function_API