| r-polars | tpch | |
|---|---|---|
| 5 | 5 | |
| 390 | 56 | |
| 1.8% | - | |
| 9.8 | 8.4 | |
| about 6 hours ago | 9 days ago | |
| R | C | |
| GNU General Public License v3.0 or later | 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.
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.
r-polars
Posts with mentions or reviews of r-polars.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2024-01-08.
- Polars R Package
- Polars
-
Transitioning from R to Python
I'm an R/python user and just wanted to let you know that polars also exist in R here
-
Pandas 2.0 Released
I am not sure. The R support of polars is entirely picked up by the R community and @sorhawell in particular. You can get certainly more information on that repo: https://github.com/pola-rs/r-polars
-
Why Polars uses less memory than Pandas
Recently there is also a work in progress implementation of Polars rust bindings to R: https://github.com/pola-rs/r-polars
tpch
Posts with mentions or reviews of tpch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-04-03.
- pandas 2.0 is coming out soon
-
Pandas 2.0 Released
I did run the benchmarks on TPC-H: https://github.com/pola-rs/tpch/pull/36
-
Pandas v2.0 Released
Polars author here. I have run the TPC-H benchmark against polars and pandas 2.0 backed by arrow types.
https://github.com/pola-rs/tpch/pull/36
Pandas having arrow as backend is great and will make interop with the arrow community (and polars) much better.
However, if you need performance, polars remains orders of magnitudes faster on whole queries, changing to the arrow memory format does not change that.
- Polars vs Pandas
-
From NumPy to Arrow: How Pandas 2.0 is Changing Data Processing for the Better
/u/ritchie46 maintains a repo using the more realistic TPC-H benchmarks. He just merged a PR with the pandas-back-by-arrow numbers (https://github.com/pola-rs/tpch/pull/36) and still, `polars` is miles ahead in terms of performance.
What are some alternatives?
When comparing r-polars and tpch you can also consider the following projects:
polars - Dataframes powered by a multithreaded, vectorized query engine, written in Rust
jupysql - Better SQL in Jupyter. 📊