ta VS pandas-ta

Compare ta vs pandas-ta and see what are their differences.

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ta pandas-ta
10 17
3,999 4,628
- -
6.9 0.0
9 days ago 12 days ago
Jupyter Notebook Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

ta

Posts with mentions or reviews of ta. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-15.

pandas-ta

Posts with mentions or reviews of pandas-ta. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-23.

What are some alternatives?

When comparing ta and pandas-ta you can also consider the following projects:

ta-lib-python - Python wrapper for TA-Lib (http://ta-lib.org/).

RSI-divergence-detector - RSI divergence detector finds regular and hidden bullish and bearish divergences

node-talib - A technical analysis library for node.js

finta - Common financial technical indicators implemented in Pandas.

py-market-profile - A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

python-binance - Binance Exchange API python implementation for automated trading

fundamental-analysis - Screen stocks on fundamentals and estimate their intrinsic value

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

tuneta - Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

static-frame - Immutable and statically-typeable DataFrames with runtime type and data validation

nepse-api - NEPSE API wrapper fetches the data from Nepali Stock Site and provides them in a pythonic and usable way.