| tig_stack | dbplyr | |
|---|---|---|
| 1 | 1 | |
| 0 | 458 | |
| - | 0.7% | |
| 10.0 | 8.7 | |
| over 1 year ago | 23 days ago | |
| Shell | 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.
tig_stack
Posts with mentions or reviews of tig_stack.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-01-29.
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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.
I have actually got to dabble with TIG stack recently for a friend who had a similar usecase. They needed to monitor power usage of network routers and switches, and already had the data in an MQTT storage. Here's the work-in-progress example if you want to take a look: https://github.com/ratulotron/tig_stack
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.
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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 tig_stack and dbplyr you can also consider the following projects:
DBI - A database interface (DBI) definition for communication between R and RDBMSs
bigrquery - An interface to Google's BigQuery from R.