tidyquant
Bringing financial analysis to the tidyverse (by business-science)
RdplyrSelects
By evergreentype
| tidyquant | RdplyrSelects | |
|---|---|---|
| 2 | 1 | |
| 831 | 0 | |
| -0.1% | - | |
| 7.5 | 0.0 | |
| 4 days ago | over 2 years ago | |
| R | R | |
| GNU General Public License v3.0 or later | - |
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.
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.
tidyquant
Posts with mentions or reviews of tidyquant.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-05-27.
-
How do i fix this error message?
i looked up ur error and found this check if there is a package u need to update
- Yesterday I came across Awesome-Quant repository and it was great. I went ahead and dig through all the backtesting & AI repos from Python and created a list of repo which are most updated & maintained. Let me know if I missed your favorite.
RdplyrSelects
Posts with mentions or reviews of RdplyrSelects.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Wrote a function that combines dplyr's SELECT and MUTATE into one
If you are interested, here is the GitHub repository: https://github.com/Ilyumzhinov/RdplyrSelects
What are some alternatives?
When comparing tidyquant and RdplyrSelects you can also consider the following projects:
finta - Common financial technical indicators implemented in Pandas.
dtplyr - Data table backend for dplyr
Intraday-stock-prices - A python function for getting real-time stock prices
alpha_vantage - A python wrapper for Alpha Vantage API for financial data.
Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
tidyquery - Query R data frames with SQL
Econometrics-on-Stock-Data - R finance guide - Algotrading101
tidylog - Tidylog provides feedback about dplyr and tidyr operations. It provides wrapper functions for the most common functions, such as filter, mutate, select, and group_by, and provides detailed output for joins.