rwrap
Seamlessly integrate R packages into Python. (by kpj)
soothsayer
High-level analysis package for (bio-)informatics (by jolespin)
rwrap | soothsayer | |
---|---|---|
3 | 1 | |
21 | 9 | |
- | - | |
1.9 | 4.3 | |
about 1 year ago | 3 months ago | |
Python | Python | |
MIT License | 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.
rwrap
Posts with mentions or reviews of rwrap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-18.
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python for bioinformatics
R? Python? why not both? https://github.com/kpj/rwrapthere are many wrappers on both sides. Programming language is a tool and it should be a matter of choice, not a restriction.
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For computational biology/bioinformatics, do I really need to be proficient in both Python and R? Or can I just pick one (I'm thinking Python 3) and then just specialize in it?
rwrap could potentially help simplify writing these rpy2 wrappers. Here's an example of how it can work.
soothsayer
Posts with mentions or reviews of soothsayer.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-08-11.