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     new 8ec57c93d3 Publish built docs triggered by 
b9517a1a08c573af2ee0e8814413eb5d96b2e5bd
8ec57c93d3 is described below

commit 8ec57c93d3694666b3f66723b7f801fac63b1e90
Author: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
AuthorDate: Fri Sep 19 14:10:59 2025 +0000

    Publish built docs triggered by b9517a1a08c573af2ee0e8814413eb5d96b2e5bd
---
 _sources/user-guide/introduction.md.txt | 44 ++++++++++++++++-----------------
 user-guide/introduction.html            |  4 +--
 2 files changed, 24 insertions(+), 24 deletions(-)

diff --git a/_sources/user-guide/introduction.md.txt 
b/_sources/user-guide/introduction.md.txt
index 2696891bad..62351b865c 100644
--- a/_sources/user-guide/introduction.md.txt
+++ b/_sources/user-guide/introduction.md.txt
@@ -96,47 +96,47 @@ Here are some active projects using DataFusion:
 
 - [Arroyo](https://github.com/ArroyoSystems/arroyo) Distributed stream 
processing engine in Rust
 - [ArkFlow](https://github.com/arkflow-rs/arkflow) High-performance Rust 
stream processing engine
-- [Auron](https://github.com/apache/auron) The Auron accelerator for big data 
engine (e.g., Spark, Flink) leverages native vectorized execution to accelerate 
query processing
-- [Ballista](https://github.com/apache/datafusion-ballista) Distributed SQL 
Query Engine
-- [CnosDB](https://github.com/cnosdb/cnosdb) Open Source Distributed Time 
Series Database
+- [Auron] The Auron accelerator for big data engine (e.g., Spark, Flink) 
leverages native vectorized execution to accelerate query processing
+- [Ballista] Distributed SQL Query Engine
+- [CnosDB] Open Source Distributed Time Series Database
 - [Comet](https://github.com/apache/datafusion-comet) Apache Spark native 
query execution plugin
-- [Cube Store](https://github.com/cube-js/cube.js/tree/master/rust) Cube’s 
universal semantic layer platform is the next evolution of OLAP technology for 
AI, BI, spreadsheets, and embedded analytics
-- [Dask SQL](https://github.com/dask-contrib/dask-sql) Distributed SQL query 
engine in Python
+- [Cube Store] Cube’s universal semantic layer platform is the next evolution 
of OLAP technology for AI, BI, spreadsheets, and embedded analytics
+- [Dask SQL] Distributed SQL query engine in Python
 - [datafusion-dft](https://github.com/datafusion-contrib/datafusion-dft) 
Batteries included CLI, TUI, and server implementations for DataFusion.
-- [delta-rs](https://github.com/delta-io/delta-rs) Native Rust implementation 
of Delta Lake
+- [delta-rs] Native Rust implementation of Delta Lake
 - [Exon](https://github.com/wheretrue/exon) Analysis toolkit for life-science 
applications
 - [Feldera](https://github.com/feldera/feldera) Fast query engine for 
incremental computation
 - [Funnel](https://funnel.io/) Data Platform powering Marketing Intelligence 
applications.
 - [GlareDB](https://github.com/GlareDB/glaredb) Fast SQL database for querying 
and analyzing distributed data.
-- [GreptimeDB](https://github.com/GreptimeTeam/greptimedb) Open Source & Cloud 
Native Distributed Time Series Database
-- [HoraeDB](https://github.com/apache/incubator-horaedb) Distributed 
Time-Series Database
+- [GreptimeDB] Open Source & Cloud Native Distributed Time Series Database
+- [HoraeDB] Distributed Time-Series Database
 - [Iceberg-rust](https://github.com/apache/iceberg-rust) Rust implementation 
of Apache Iceberg
-- [InfluxDB](https://github.com/influxdata/influxdb) Time Series Database
-- [Kamu](https://github.com/kamu-data/kamu-cli/) Planet-scale streaming data 
pipeline
+- [InfluxDB] Time Series Database
+- [Kamu] Planet-scale streaming data pipeline
 - [LakeSoul](https://github.com/lakesoul-io/LakeSoul) Open source LakeHouse 
framework with native IO in Rust.
 - [Lance](https://github.com/lancedb/lance) Modern columnar data format for ML
-- [OpenObserve](https://github.com/openobserve/openobserve) Distributed cloud 
native observability platform
+- [OpenObserve] Distributed cloud native observability platform
 - [ParadeDB](https://github.com/paradedb/paradedb) PostgreSQL for Search & 
Analytics
-- [Parseable](https://github.com/parseablehq/parseable) Log storage and 
observability platform
+- [Parseable] Log storage and observability platform
 - [Polygon.io](https://polygon.io/) Stock Market API
-- [qv](https://github.com/timvw/qv) Quickly view your data
+- [qv] Quickly view your data
 - [Restate](https://github.com/restatedev) Easily build resilient applications 
using distributed durable async/await
-- [ROAPI](https://github.com/roapi/roapi) Create full-fledged APIs for slowly 
moving datasets without writing a single line of code
+- [ROAPI] Create full-fledged APIs for slowly moving datasets without writing 
a single line of code
 - [Sail](https://github.com/lakehq/sail) Unifying stream, batch and AI 
workloads with Apache Spark compatibility
-- [Seafowl](https://github.com/splitgraph/seafowl) CDN-friendly analytical 
database
+- [Seafowl] CDN-friendly analytical database
 - [Sleeper](https://github.com/gchq/sleeper) Serverless, cloud-native, 
log-structured merge tree based, scalable key-value store
-- [Spice.ai](https://github.com/spiceai/spiceai) Building blocks for 
data-driven AI applications
-- [Synnada](https://synnada.ai/) Streaming-first framework for data products
-- [VegaFusion](https://vegafusion.io/) Server-side acceleration for the 
[Vega](https://vega.github.io/) visualization grammar
+- [Spice.ai] Building blocks for data-driven AI applications
+- [Synnada] Streaming-first framework for data products
+- [VegaFusion] Server-side acceleration for the 
[Vega](https://vega.github.io/) visualization grammar
 - [Telemetry](https://telemetry.sh/) Structured logging made easy
 - [Xorq](https://github.com/xorq-labs/xorq/) Xorq is a multi-engine batch 
transformation framework built on Ibis, DataFusion and Arrow
 
 Here are some less active projects that used DataFusion:
 
 - [bdt](https://github.com/datafusion-contrib/bdt) Boring Data Tool
-- [Cloudfuse Buzz](https://github.com/cloudfuse-io/buzz-rust)
-- [Flock](https://github.com/flock-lab/flock)
-- [Tensorbase](https://github.com/tensorbase/tensorbase)
+- [Cloudfuse Buzz]
+- [Flock]
+- [Tensorbase]
 
 [ballista]: https://github.com/apache/datafusion-ballista
 [auron]: https://github.com/apache/auron
@@ -148,7 +148,7 @@ Here are some less active projects that used DataFusion:
 [delta-rs]: https://github.com/delta-io/delta-rs
 [flock]: https://github.com/flock-lab/flock
 [kamu]: https://github.com/kamu-data/kamu-cli
-[greptime db]: https://github.com/GreptimeTeam/greptimedb
+[greptimedb]: https://github.com/GreptimeTeam/greptimedb
 [horaedb]: https://github.com/apache/incubator-horaedb
 [influxdb]: https://github.com/influxdata/influxdb
 [openobserve]: https://github.com/openobserve/openobserve
diff --git a/user-guide/introduction.html b/user-guide/introduction.html
index e5b766ceb6..8ad3de1b3e 100644
--- a/user-guide/introduction.html
+++ b/user-guide/introduction.html
@@ -744,7 +744,7 @@ parellelized streaming execution plans, file format 
support, etc.</p>
 <li><p><a class="reference external" 
href="https://github.com/apache/incubator-horaedb";>HoraeDB</a> Distributed 
Time-Series Database</p></li>
 <li><p><a class="reference external" 
href="https://github.com/apache/iceberg-rust";>Iceberg-rust</a> Rust 
implementation of Apache Iceberg</p></li>
 <li><p><a class="reference external" 
href="https://github.com/influxdata/influxdb";>InfluxDB</a> Time Series 
Database</p></li>
-<li><p><a class="reference external" 
href="https://github.com/kamu-data/kamu-cli/";>Kamu</a> Planet-scale streaming 
data pipeline</p></li>
+<li><p><a class="reference external" 
href="https://github.com/kamu-data/kamu-cli";>Kamu</a> Planet-scale streaming 
data pipeline</p></li>
 <li><p><a class="reference external" 
href="https://github.com/lakesoul-io/LakeSoul";>LakeSoul</a> Open source 
LakeHouse framework with native IO in Rust.</p></li>
 <li><p><a class="reference external" 
href="https://github.com/lancedb/lance";>Lance</a> Modern columnar data format 
for ML</p></li>
 <li><p><a class="reference external" 
href="https://github.com/openobserve/openobserve";>OpenObserve</a> Distributed 
cloud native observability platform</p></li>
@@ -759,7 +759,7 @@ parellelized streaming execution plans, file format 
support, etc.</p>
 <li><p><a class="reference external" 
href="https://github.com/gchq/sleeper";>Sleeper</a> Serverless, cloud-native, 
log-structured merge tree based, scalable key-value store</p></li>
 <li><p><a class="reference external" 
href="https://github.com/spiceai/spiceai";>Spice.ai</a> Building blocks for 
data-driven AI applications</p></li>
 <li><p><a class="reference external" href="https://synnada.ai/";>Synnada</a> 
Streaming-first framework for data products</p></li>
-<li><p><a class="reference external" 
href="https://vegafusion.io/";>VegaFusion</a> Server-side acceleration for the 
<a class="reference external" href="https://vega.github.io/";>Vega</a> 
visualization grammar</p></li>
+<li><p><a class="reference external" href="https://vegafusion.io/"; title="if 
you know of another project, please submit a PR to add a link!">VegaFusion</a> 
Server-side acceleration for the <a class="reference external" 
href="https://vega.github.io/";>Vega</a> visualization grammar</p></li>
 <li><p><a class="reference external" 
href="https://telemetry.sh/";>Telemetry</a> Structured logging made easy</p></li>
 <li><p><a class="reference external" 
href="https://github.com/xorq-labs/xorq/";>Xorq</a> Xorq is a multi-engine batch 
transformation framework built on Ibis, DataFusion and Arrow</p></li>
 </ul>


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