pandas-ta VS FinanceDatabase

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

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pandas-ta FinanceDatabase
17 147
4,628 2,745
- -
0.0 9.5
11 days ago 8 days ago
Python Jupyter Notebook
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.

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.

FinanceDatabase

Posts with mentions or reviews of FinanceDatabase. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-14.
  • What is the funnest project you worked on?
    10 projects | /r/Python | 14 Mar 2023
    I think I am a little bit of an odd one out but since I have a strong background in Finance and a passion for programming in Python being able to combine that in projects like [OpenBB Terminal](https://github.com/OpenBB-finance/OpenBBTerminal) and my own [FinanceDatabase](https://github.com/JerBouma/FinanceDatabase) is just amazing.
  • I made a Finance Database with over 300.000 tickers to make Investment Decisions easier
    7 projects | /r/Python | 8 Mar 2023
    **Insert the FinanceDatabase.** This is a database of over 300.000 symbols (155k+ companies, 36k+ ETFs, 57k+ Funds, 3k+ Cryptocurrencies and more) that is fully categorised per country, industry, sector, category and more. It includes a package, written in Python and installable with `pip install financedatabase`, that gives access to the data with ease. You can obtain the entire dataset per asset class, search through it and filter based on specific options. Have a look at this Notebook to have an idea what it is offering.
    7 projects | /r/Python | 8 Mar 2023
    Yes, that article is used to do the analysis too. It's really all about the file size, read speed is not as relevant. See this Notebook: https://github.com/JerBouma/FinanceDatabase/blob/main/compression/compression.ipynb
    7 projects | /r/Python | 8 Mar 2023
    You get about 3000 different companies but only 73 are fully categorised. I'd love to invite you to make an update here if you do find a credible source!
  • Stocks command won't load anything
    3 projects | /r/openBB | 9 Dec 2022
    I found out about FinanceDatabase here - https://github.com/JerBouma/FinanceDatabase
  • I made a Finance Database with over 180.000 tickers to make Investment Decisions easier
    7 projects | /r/Python | 4 Feb 2021
    Check my methodology here. Should explain what you are looking for. Indeed, you can't just export a file that has all ETFs in there. One of this reasons I went to work on this.
    7 projects | /r/Python | 4 Feb 2021
    I explain my methodology here. When Apple moves their headquarters it will not be reflected in the database. The data is static and has no engine running constantly to update it. Therefore, re-running the database generation every few months should be worthwhile.
    7 projects | /r/Python | 4 Feb 2021
    It features 108 different countries actually. See the Database folder to get an idea of what is available.
    7 projects | /r/Python | 4 Feb 2021
    Not entirely but very similar, it's based on Yahoo Finance's sectors and industries. See industries and sectors.
    7 projects | /r/Python | 4 Feb 2021
    Yeah, I have a folder that describes the methodology here. So if this is taken down I will just release that as a package. Then it's not distributing just explaining how to get the database.

What are some alternatives?

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

ta - Technical Analysis Library using Pandas and Numpy

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.

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

Python-NSE-Option-Chain-Analyzer - The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

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.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more