DCF VS dash

Compare DCF vs dash and see what are their differences.

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DCF dash
1 56
349 20,502
- 1.6%
4.4 9.6
8 months ago 3 days ago
Python Python
- 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.

DCF

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

dash

Posts with mentions or reviews of dash. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-13.

What are some alternatives?

When comparing DCF and dash you can also consider the following projects:

FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

streamlit - Streamlit — A faster way to build and share data apps.

degiro-trading-tracker - Simplified tracking of your investments

fastapi - FastAPI framework, high performance, easy to learn, fast to code, ready for production

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

panel - Panel: The powerful data exploration & web app framework for Python

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

uvicorn - An ASGI web server, for Python. 🦄

zipline - Zipline, a Pythonic Algorithmic Trading Library

Flask - The Python micro framework for building web applications.

Business-Valuation-with-Discounted-Cash-Flow-In-Python - Stocks and Assets Valuation via Discounted Cash Flow with Python

nicegui - Create web-based user interfaces with Python. The nice way.