TA-Lib
Official TA-Lib Core observed · 2026-08-28
Health v2 · maintenance only
96/100
- Activity 99
- Release rhythm 91
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 7.5
- age_days: 3665
- days_rel: 61
- days_push: 7
- n_releases_24m: 5
Adoption not part of the score
1660 stars · 296 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
TA-Lib is a C/C++ library of 200+ battle-tested technical analysis functions (indicators like ADX, MACD, RSI, Bollinger Bands, plus candlestick pattern recognition) for financial market data. ta-lib-python is the most widely used binding, built with Cython and NumPy for 2-4x faster performance than the original SWIG bindings, with Pandas and Polars support.
Use cases
- calculate RSI and MACD indicators on stock price data
- detect candlestick patterns in OHLC time series
- compute Bollinger Bands for a trading strategy backtest
- perform technical analysis on financial market data in Python
- build quantitative finance signals with 200+ indicators
- efficiently compute moving averages over large numpy arrays
When to choose
- you need industry-standard, production-proven technical analysis indicators
- you want fast NumPy/Pandas/Polars integration for large market datasets
- you need candlestick pattern recognition (CDL* functions)
- you want a stable, BSD-licensed library battle-tested since 2001
When to avoid
- you need a pure-Python solution with no C library dependency
- you want modern indicators beyond the classic 200 (consider pandas-ta)
- you need streaming/real-time tick processing (streaming API is still in development)
- you're not working with financial time-series data
Facets
library · maturity active
math data-science sdk fintech data-science python cross-platform cpp technical-analysis financial-indicators candlestick-patterns cython numpy pandas polars trading quantitative-finance algorithms
7 sources
- readme: https://github.com/TA-Lib/ta-lib · fetched 2026-08-28 · cb5ba98e2c63
- homepage: https://ta-lib.org/ · fetched 2026-08-29 · cfd156274e1e
- site_page: https://ta-lib.org/install · fetched 2026-08-29 · 85c4a75289a4
- site_page: https://ta-lib.org/about · fetched 2026-08-29 · b5f0232f5f45
- site_page: https://ta-lib.org/install/c · fetched 2026-08-29 · 5637eceecedd
- site_page: https://ta-lib.org/functions · fetched 2026-08-29 · 0a43e30f496d
- site_page: https://ta-lib.org/faq · fetched 2026-08-29 · ecbbc680e7f9
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| TA-Lib/ta-lib | main | 96 |
| TA-Lib/ta-lib-python | sdk | 95 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem