DBI
A database interface (DBI) definition for communication between R and RDBMSs (by r-dbi)
dbplyr
Database (DBI) backend for dplyr (by tidyverse)
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| DBI | dbplyr | |
|---|---|---|
| 1 | 1 | |
| 282 | 456 | |
| 0.7% | 0.2% | |
| 9.2 | 8.9 | |
| 5 days ago | 9 days ago | |
| R | R | |
| GNU Lesser General Public License v3.0 only | 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.
DBI
Posts with mentions or reviews of DBI.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-29.
-
Personal project: I'm logging sensor data to Sqlite on a Raspberry Pi. I want to make some pretty visuals with R using the data, but unsure about my options for making the data accessible to R.
You can query the database directly from an R session. My preferred approach is to use the DBI package. I would also recommend using the dbplyr package to write dplyr-style data transformations instead of trying to do a bunch of SQL string formatting.
dbplyr
Posts with mentions or reviews of dbplyr.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-29.
-
Personal project: I'm logging sensor data to Sqlite on a Raspberry Pi. I want to make some pretty visuals with R using the data, but unsure about my options for making the data accessible to R.
You can query the database directly from an R session. My preferred approach is to use the DBI package. I would also recommend using the dbplyr package to write dplyr-style data transformations instead of trying to do a bunch of SQL string formatting.
What are some alternatives?
When comparing DBI and dbplyr you can also consider the following projects:
bigrquery - An interface to Google's BigQuery from R.
tig_stack
ggplot2 - An implementation of the Grammar of Graphics in R
ChineseNames - 🀄 Chinese Name Database (1930-2008).