FinancePy VS ruby-cff

Compare FinancePy vs ruby-cff and see what are their differences.

FinancePy

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives. (by domokane)
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FinancePy ruby-cff
97 1
1,898 47
- -
8.8 4.4
29 days ago 2 months ago
Jupyter Notebook Ruby
GNU General Public License v3.0 only Apache License 2.0
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.

FinancePy

Posts with mentions or reviews of FinancePy. We have used some of these posts to build our list of alternatives and similar projects.

ruby-cff

Posts with mentions or reviews of ruby-cff. We have used some of these posts to build our list of alternatives and similar projects.
  • Enhanced support for citations on GitHub | The GitHub Blog
    1 project | /r/programming | 21 Aug 2021
    So the date accessed is the entire year of 2021. It includes the version, at least, but not an actual Git hash, so it really only applies if you use a released version. And then only if they keep their cff file updated, because that isn't actually automatic -- the version is just another field checked in with this file, alongside "date released".

What are some alternatives?

When comparing FinancePy and ruby-cff you can also consider the following projects:

DCF - Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

citation-file-format - The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

feedparser - feedparser gem - (universal) web feed parser and normalizer (XML w/ Atom or RSS, JSON Feed, HTML w/ Microformats e.g. h-entry/h-feed or Feed.HTML, Feed.TXT w/ YAML, JSON or INI & Markdown, etc.)

gs-quant - Python toolkit for quantitative finance

ruby-advisory-db - A database of vulnerable Ruby Gems

dcf-basic - Basic DCF model to quickly value public companies.

Shrine - File Attachment toolkit for Ruby applications

alphalens - Performance analysis of predictive (alpha) stock factors

QuickStore - Simple local key-value store based on YAML::Store.

okama - Investment portfolio and stocks analyzing tools for Python with free historical data

citelang - markdown syntax and credit system for software!