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)

ruby-cff

A Ruby library for manipulating CITATION.cff files. (by citation-file-format)
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FinancePy ruby-cff
62 1
1,317 38
- -
8.3 4.8
2 days ago 3 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.

We haven't tracked posts mentioning FinancePy yet.
Tracking mentions began in Dec 2020.

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.

We haven't tracked posts mentioning ruby-cff yet.
Tracking mentions began in Dec 2020.

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.

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

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.

gs-quant - Python toolkit for quantitative finance

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

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

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

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.)

alphalens - Performance analysis of predictive (alpha) stock factors

resistance - Pre-crisis Risk Management for Personal Finance

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

Shrine - File Attachment toolkit for Ruby applications