Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Update Mars to Xorbits #362

Open
wants to merge 1 commit into
base: main
Choose a base branch
from
Open

Update Mars to Xorbits #362

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
9 changes: 7 additions & 2 deletions spec/purpose_and_scope.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -47,6 +47,11 @@ library originally built on [Ray](https://github.com/ray-project/ray), but has
a more modular way, that allows it to also use Dask as a scheduler, or replace the
pandas-like public API by a SQLite-like one.

[Xorbits](https://github.com/xorbitsai/xorbits) is a scalable data science toolkit
to scale NumPy and pandas and to keep APIs compatibility with their original ones.
It is somewhat similar to Dask as a task scheduler, but there are significant
differences in the implementation of the distributed engine compared to Dask or Modin.

[cuDF](https://github.com/rapidsai/cudf) is a GPU dataframe library built on top
of Apache Arrow and RAPIDS. It provides an API similar to pandas.

Expand Down Expand Up @@ -180,7 +185,7 @@ The list of known Python dataframe libraries at the time of writing this documen
- [Grizzly](https://github.com/weld-project/weld#grizzly)
- [Ibis](https://ibis-project.org/)
- [Koalas](https://github.com/databricks/koalas)
- [Mars](https://docs.pymars.org/en/latest/)
- [Xorbits](https://github.com/xorbitsai/xorbits)
- [Modin](https://github.com/modin-project/modin)
- [pandas](https://pandas.pydata.org/)
- [polars](https://www.pola.rs/)
Expand Down Expand Up @@ -209,7 +214,7 @@ Authors of libraries that provide functionality used by dataframes.
A non-exhaustive list of upstream categories is next:

- Data formats, protocols and libraries for data analytics (e.g. Apache Arrow, NumPy)
- Task schedulers (e.g. Dask, Ray, Mars)
- Task schedulers (e.g. Dask, Ray, Xorbits)
- Big data systems (e.g. Spark, Hive, Impala, Presto)
- Libraries for database access (e.g. SQLAlchemy)

Expand Down