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https://issues.apache.org/jira/browse/ARROW-1978?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16321198#comment-16321198
]
ASF GitHub Bot commented on ARROW-1978:
---------------------------------------
wesm closed pull request #1465: ARROW-1978: [Website] Consolidate Powered By
project list, add more visibly to front page
URL: https://github.com/apache/arrow/pull/1465
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):
diff --git a/site/index.html b/site/index.html
index ffa8d54af..87995cbab 100644
--- a/site/index.html
+++ b/site/index.html
@@ -38,6 +38,10 @@ <h2>Standard</h2>
projects, including Calcite, Cassandra, Drill, Hadoop, HBase, Ibis,
Impala, Kudu, Pandas, Parquet, Phoenix, Spark, and Storm making it
the de-facto standard for columnar in-memory analytics.</p>
+
+ <p>Learn more about projects that are <a href="{{ site.baseurl
+ }}/powered_by/">Powered By Apache Arrow</a></p>
+
</div>
</div> <!-- close "row" div -->
diff --git a/site/powered_by.md b/site/powered_by.md
index 56f6e2bce..403320267 100644
--- a/site/powered_by.md
+++ b/site/powered_by.md
@@ -43,11 +43,9 @@ names, etc.) like "arrow-foo". These are permitted.
Nominative use of trademarks
in descriptions is also always allowed, as in "BigCoProduct is a widget for
Apache Arrow".
-### Open Source Projects
-
-To add yourself to the list, please email [email protected] with your
+To add yourself to the list, please open a pull request adding your
organization name, URL, a list of which Arrow components you are using, and a
-short description of your use case.
+short description of your use case. See the following for some examples.
* **[Apache Parquet][3]:** A columnar storage format available to any project
in the Hadoop ecosystem, regardless of the choice of data processing
@@ -61,10 +59,23 @@ short description of your use case.
* **[Dask][15]:** Python library for parallel and distributed execution of
dynamic task graphs. Dask supports using pyarrow for accessing Parquet
files
+* **[Dremio][9]:** A self-service data platform. Dremio makes it easy for
+ users to discover, curate, accelerate, and share data from any source.
+ It includes a distributed SQL execution engine based on Apache Arrow.
+ Dremio reads data from any source (RDBMS, HDFS, S3, NoSQL) into Arrow
+ buffers, and provides fast SQL access via ODBC, JDBC, and REST for BI,
+ Python, R, and more (all backed by Apache Arrow).
* **[GeoMesa][8]:** A suite of tools that enables large-scale geospatial query
and analytics on distributed computing systems. GeoMesa supports query
results in the Arrow IPC format, which can then be used for in-browser
visualizations and/or further analytics.
+* **[GOAI][19]:** Open GPU-Accelerated Analytics Initiative for Arrow-powered
+ analytics across GPU tools and vendors
+* **[Graphistry][18]:** Supercharged Visual Investigation Platform used by
+ teams for security, anti-fraud, and related investigations. The Graphistry
+ team uses Arrow in its NodeJS GPU backend and client libraries, and is an
+ early contributing member to GOAI and Arrow\[JS\] focused on bringing these
+ technologies to the enterprise.
* **[libgdf][14]:** A C library of CUDA-based analytics functions and GPU IPC
support for structured data. Uses the Arrow IPC format and targets the Arrow
memory layout in its analytic functions. This work is part of the [GPU Open
@@ -75,6 +86,9 @@ short description of your use case.
* **[pandas][12]:** data analysis toolkit for Python programmers. pandas
supports reading and writing Parquet files using pyarrow. Several pandas
core developers are also contributors to Apache Arrow.
+* **[Quilt Data][13]:** Quilt is a data package manager, designed to make
+ managing data as easy as managing code. It supports Parquet format via
+ pyarrow for data access.
* **[Ray][5]:** A flexible, high-performance distributed execution framework
with a focus on machine learning and AI applications. Uses Arrow to
efficiently store Python data structures containing large arrays of numerical
@@ -91,29 +105,6 @@ short description of your use case.
Arrow Tables and RecordBatches in addition to the Python Database API
Specification 2.0.
-### Companies and Organizations
-
-To add yourself to the list, please email [email protected] with your
-organization name, URL, a list of which Arrow components you are using, and a
-short description of your use case.
-
-* **[Dremio][9]:** A self-service data platform. Dremio makes it easy for
- users to discover, curate, accelerate, and share data from any source.
- It includes a distributed SQL execution engine based on Apache Arrow.
- Dremio reads data from any source (RDBMS, HDFS, S3, NoSQL) into Arrow
- buffers, and provides fast SQL access via ODBC, JDBC, and REST for BI,
- Python, R, and more (all backed by Apache Arrow).
-* **[GOAI][19]:** Open GPU-Accelerated Analytics Initiative for Arrow-powered
- analytics across GPU tools and vendors
-* **[Graphistry][18]:** Supercharged Visual Investigation Platform used by
- teams for security, anti-fraud, and related investigations. The Graphistry
- team uses Arrow in its NodeJS GPU backend and client libraries, and is an
- early contributing member to GOAI and Arrow\[JS\] focused on bringing these
- technologies to the enterprise.
-* **[Quilt Data][13]:** Quilt is a data package manager, designed to make
- managing data as easy as managing code. It supports Parquet format via
- pyarrow for data access.
-
[1]: https://www.apache.org/foundation/marks/
[2]: https://www.apache.org/foundation/marks/faq/
[3]: https://parquet.apache.org/
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> [Website] Add more visible link to "Powered By" page to front page, simplify
> Powered By
> ---------------------------------------------------------------------------------------
>
> Key: ARROW-1978
> URL: https://issues.apache.org/jira/browse/ARROW-1978
> Project: Apache Arrow
> Issue Type: Improvement
> Components: Website
> Reporter: Wes McKinney
> Assignee: Wes McKinney
> Labels: pull-request-available
> Fix For: 0.9.0
>
>
> There can be a fine line between what is an open source project and what is a
> company and what is a product or organization, so to keep things simple I
> have consolidated things into a single list without passing any judgments. I
> have also added a link to the Powered By page that is visible without digging
> into any menus on the front page
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