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The following commit(s) were added to refs/heads/master by this push:
     new f996c8d  Added G.V() to provider/index lists
f996c8d is described below

commit f996c8db4f6365365a17012116408a14438aa103
Author: Stephen Mallette <[email protected]>
AuthorDate: Fri Nov 26 08:24:36 2021 -0500

    Added G.V() to provider/index lists
    
    Removed IBM Compose as the service is no longer offered. CTR
---
 docs/site/home/img/logos/gdotv-logo.png            | Bin 0 -> 10917 bytes
 .../home/img/logos/ibm-compose-janusgraph-logo.png | Bin 19024 -> 0 bytes
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 docs/site/home/index.html                          |   1 +
 docs/site/home/providers.html                      |  40 ++++++++++-----------
 5 files changed, 21 insertions(+), 20 deletions(-)

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diff --git a/docs/site/home/index.html b/docs/site/home/index.html
index f7418b7..d1cda1b 100644
--- a/docs/site/home/index.html
+++ b/docs/site/home/index.html
@@ -310,6 +310,7 @@ limitations under the License.
             <li><a href="https://github.com/aws/graph-notebook";>Graph 
Notebook</a> - Library extending Jupyter notebooks to integrate with Apache 
TinkerPop, openCypher, and RDF SPARQL.</li>
             <li><a 
href="https://github.com/bechbd/gremlin-ide";>gremlin-ide</a> - An IDE for 
Apache TinkerPop-enabled databases using React and Electron.</li>
             <li><a href="https://gremlify.com/";>gremlify</a> - A Gremlin 
workspace for queries and visualization.</li>
+            <li><a href="https://gdotv.com/";>G.V()</a> An all-in-one Gremlin 
IDE to write, test and analyze results.</li>
             <li><a 
href="https://github.com/prabushitha/gremlin-visualizer";>Gremlin-Visualizer</a> 
A visualization tool for the results of gremlin traversals.</li>
             <li><a 
href="https://cambridge-intelligence.com/keylines/";>KeyLines</a> - A JavaScript 
SDK for building powerful, custom and scalable graph visualization 
applications.</li>
             <li><a href="https://github.com/meltwater/jugri";>JUGRI</a> - A 
Jupyter Gremlin interface.</li>
diff --git a/docs/site/home/providers.html b/docs/site/home/providers.html
index 82ee621..04d7cf1 100644
--- a/docs/site/home/providers.html
+++ b/docs/site/home/providers.html
@@ -139,59 +139,59 @@ limitations under the License.
             <a 
href="https://datastax.com/products/datastax-enterprise-graph";>DataStax 
Enterprise Graph</a>&trade;, part of DataStax Enterprise's multi-model 
platform, is a real-time graph database built for cloud applications that need 
to manage complex and highly connected data. Built on the foundation of Apache 
Cassandra and Apache TinkerPop, DataStax Enterprise Graph delivers continuous 
uptime along with predictable performance and scale, while remaining 
operationally simple to manage.
          </div>
          <div class="col-sm-6 col-md-6">
-            <a href="https://github.com/hugegraph/hugegraph";><img 
src="img/logos/hugegraph-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="https://github.com/hugegraph/hugegraph";>HugeGraph</a> is 
an Apache2 licensed high-speed, distributed and scalable OLTP and OLAP graph 
database, fully optimized to store hundreds of billions vertices/edges and 
analyze complex relationships between high-connected data. It is modeled as 
property graph and compatible with Apache TinkerPop and Gremlin. Due to high 
efficiency, availability and scalability, HugeGraph attracts a large amount of 
users and has been widely used [...]
+            <a href="https://grakn.ai/";><img src="img/logos/grakn-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://grakn.ai/";>GRAKN.AI</a>&trade; is a distributed 
knowledge graph that brings knowledge ontologies and transactional data 
together to enable intelligent querying of data. Querying is performed through 
the language: Graql, a declarative, knowledge-oriented graph query language for 
retrieving explicitly stored and implicitly derived information, as well as to 
perform graph analytics and automated reasoning.
          </div>
       </div>
       <br/>
       <div class="row">
          <div class="col-sm-6 col-md-6">
-            <a href="https://grakn.ai/";><img src="img/logos/grakn-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="https://grakn.ai/";>GRAKN.AI</a>&trade; is a distributed 
knowledge graph that brings knowledge ontologies and transactional data 
together to enable intelligent querying of data. Querying is performed through 
the language: Graql, a declarative, knowledge-oriented graph query language for 
retrieving explicitly stored and implicitly derived information, as well as to 
perform graph analytics and automated reasoning.
+            <a href="https://gdotv.com/";><img src="img/logos/gdotv-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://gdotv.com/";>G.V()</a> is an all-in-one Gremlin 
IDE and graph visualization software for Windows, macOS and Linux. It offers 
powerful Gremlin Query completion features based on your graph structure and 
intuitive results visualization options. It is compatible with Apache 
TinkerPop-enabled graph databases over Gremlin Server protocol.
          </div>
          <div class="col-sm-6 col-md-6">
-            <a href="https://compose.com/databases/janusgraph";><img 
src="img/logos/ibm-compose-janusgraph-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            IBM&reg; <a 
href="https://compose.com/databases/janusgraph";>Compose for JanusGraph</a> 
provides a fully-managed, highly-available, and production-ready JanusGraph on 
AWS, GCP or IBM Cloud. Deployed in minutes, every JanusGraph deployment on 
Compose is built with highly available storage and graph engines. The 
JanusGraph Storage engine is a cluster of the Scylla database. As usage 
increases or application requirements change, users can vertically or 
horizontally scale the Janu [...]
+            <a href="https://github.com/hugegraph/hugegraph";><img 
src="img/logos/hugegraph-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://github.com/hugegraph/hugegraph";>HugeGraph</a> is 
an Apache2 licensed high-speed, distributed and scalable OLTP and OLAP graph 
database, fully optimized to store hundreds of billions vertices/edges and 
analyze complex relationships between high-connected data. It is modeled as 
property graph and compatible with Apache TinkerPop and Gremlin. Due to high 
efficiency, availability and scalability, HugeGraph attracts a large amount of 
users and has been widely used [...]
          </div>
       </div>
       <br/>
       <div class="row">
          <div class="col-sm-6 col-md-6">
-            <a href="http://janusgraph.org/";><img 
src="img/logos/janusgraph-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="http://janusgraph.org/";>JanusGraph</a>&reg; is an Apache2 
licensed scalable, distributed graph database optimized for storing and 
querying graphs containing hundreds of billions of vertices and edges 
distributed across a multi-machine cluster. JanusGraph is a transactional 
database that can support thousands of concurrent users executing complex 
Gremlin traversals in real time. JanusGraph also provides an in-memory, 
compression-based OLAP processor as well as integra [...]
+            <a href="https://janusgraph.org/";><img 
src="img/logos/janusgraph-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://janusgraph.org/";>JanusGraph</a>&reg; is an 
Apache2 licensed scalable, distributed graph database optimized for storing and 
querying graphs containing hundreds of billions of vertices and edges 
distributed across a multi-machine cluster. JanusGraph is a transactional 
database that can support thousands of concurrent users executing complex 
Gremlin traversals in real time. JanusGraph also provides an in-memory, 
compression-based OLAP processor as well as integr [...]
          </div>
          <div class="col-sm-6 col-md-6">
-           <a href="http://cambridge-intelligence.com/keylines/";><img 
src="img/logos/keylines-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-           <a 
href="http://cambridge-intelligence.com/keylines/";>KeyLines</a>&trade; is an 
Apache TinkerPop and Gremlin compatible JavaScript SDK for quickly and easily 
building powerful, custom and scalable graph visualization applications. The 
KeyLines SDK offers a rich library of functionality to help you visualize and 
explore the data in your graph database, including graph layouts, social 
network analysis measures, filtering, temporal graph visualization and 
geospatial graph analysi [...]
+           <a href="https://cambridge-intelligence.com/keylines/";><img 
src="img/logos/keylines-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+           <a 
href="https://cambridge-intelligence.com/keylines/";>KeyLines</a>&trade; is an 
Apache TinkerPop and Gremlin compatible JavaScript SDK for quickly and easily 
building powerful, custom and scalable graph visualization applications. The 
KeyLines SDK offers a rich library of functionality to help you visualize and 
explore the data in your graph database, including graph layouts, social 
network analysis measures, filtering, temporal graph visualization and 
geospatial graph analys [...]
          </div>
       </div>
       <br/>
       <div class="row">
          <div class="col-sm-6 col-md-6">
-            <a href="http://linkurio.us/";><img 
src="img/logos/linkurious-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="http://linkurio.us/";>Linkurious</a>&trade; is a 
browser-based graph visualization software to search, explore and visualize 
connected data. It is compatible with Apache TinkerPop and thus, any 
TinkerPop-enabled graph system. Linkurious provides enterprise-ready security 
(authentication, access rights, audit) and flexibility (API, linkurious.js JS 
graph visualization library) to help software architects successfully deploy 
graph capabilities within their organizations.
+            <a href="https://linkurio.us/";><img 
src="img/logos/linkurious-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://linkurio.us/";>Linkurious</a>&trade; is a 
browser-based graph visualization software to search, explore and visualize 
connected data. It is compatible with Apache TinkerPop and thus, any 
TinkerPop-enabled graph system. Linkurious provides enterprise-ready security 
(authentication, access rights, audit) and flexibility (API, linkurious.js JS 
graph visualization library) to help software architects successfully deploy 
graph capabilities within their organizations.
          </div>
          <div class="col-sm-6 col-md-6">
-           <a href="http://neo4j.com/";><img src="img/logos/neo4j-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-           <a href="http://neo4j.com/";>Neo4j</a>&trade; is the most widely 
used open source, transactional graph database with a large active user and 
customer community. Because of its scalability and ease of use, Neo4j is 
applied in a wide variety of use cases from fraud detection, access control to 
recommendation and investigative journalism. Along with the openCypher graph 
query language, Neo4j also supports Apache TinkerPop and currently serves as 
its OLTP reference implementation.
+           <a href="https://neo4j.com/";><img src="img/logos/neo4j-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+           <a href="https://neo4j.com/";>Neo4j</a>&trade; is the most widely 
used open source, transactional graph database with a large active user and 
customer community. Because of its scalability and ease of use, Neo4j is 
applied in a wide variety of use cases from fraud detection, access control to 
recommendation and investigative journalism. Along with the openCypher graph 
query language, Neo4j also supports Apache TinkerPop and currently serves as 
its OLTP reference implementation.
          </div>
       </div>
       <br/>
       <div class="row">
          <div class="col-sm-6 col-md-6">
-            <a href="http://orientdb.com/";><img 
src="img/logos/orientdb-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="http://orientdb.com/";>OrientDB</a>&trade; is an open 
source distributed graph database with native support for Apache TinkerPop and 
the Gremlin graph traversal language. OrientDB handles relationships by using 
persistent pointers, rather than expensive join runtime operations. This 
guarantees a fast, constant O(1) time for traversing, no matter the database 
size. Furthermore, OrientDB is not only a graph database, but a multi-model 
database able to manage documents,  [...]
+            <a href="https://orientdb.org/";><img 
src="img/logos/orientdb-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://orientdb.org/";>OrientDB</a>&trade; is an open 
source distributed graph database with native support for Apache TinkerPop and 
the Gremlin graph traversal language. OrientDB handles relationships by using 
persistent pointers, rather than expensive join runtime operations. This 
guarantees a fast, constant O(1) time for traversing, no matter the database 
size. Furthermore, OrientDB is not only a graph database, but a multi-model 
database able to manage documents, [...]
          </div>
          <div class="col-sm-6 col-md-6">
-           <a href="http://stardog.com/";><img src="img/logos/stardog-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-           <a href="http://stardog.com/";>Stardog</a>&trade; is a graph 
database optimized for enterprise data unification. It supports both semantic 
graphs, via RDF, SPARQL, and OWL, as well as property graphs via Apache 
TinkerPop and Gremlin--it's the only graph database that supports both models 
over the same database, simultaneously. Stardog also supports hybrid data 
unification architectures, seamlessly blending data warehouse, system of 
record, and virtual query strategies. Stardog  [...]
+           <a href="https://stardog.com/";><img 
src="img/logos/stardog-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+           <a href="https://stardog.com/";>Stardog</a>&trade; is a graph 
database optimized for enterprise data unification. It supports both semantic 
graphs, via RDF, SPARQL, and OWL, as well as property graphs via Apache 
TinkerPop and Gremlin--it's the only graph database that supports both models 
over the same database, simultaneously. Stardog also supports hybrid data 
unification architectures, seamlessly blending data warehouse, system of 
record, and virtual query strategies. Stardog [...]
          </div>
       </div>
       <br/>
       <div class="row">
          <div class="col-sm-6 col-md-6">
-            <a href="http://tomsawyer.com/products/perspectives/";><img 
src="img/logos/tomsawyer-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
-            <a href="http://tomsawyer.com/products/perspectives/";>Tom Sawyer 
Perspectives</a>&trade; is advanced graphics-based software for building 
enterprise-class data relationship visualization and analysis applications. It 
is a complete Software Development Kit (SDK) with a graphics-based design and 
preview environment. Tom Sawyer Perspectives combines visualization, layout, 
and analysis technology with an elegant platform architecture. Tom Sawyer 
Perspectives enables interaction w [...]
+            <a href="https://tomsawyer.com/";><img 
src="img/logos/tomsawyer-logo.png" 
style="padding-right:20px;float:left;width:35%;"></a>
+            <a href="https://tomsawyer.com/";>Tom Sawyer 
Perspectives</a>&trade; is advanced graphics-based software for building 
enterprise-class data relationship visualization and analysis applications. It 
is a complete Software Development Kit (SDK) with a graphics-based design and 
preview environment. Tom Sawyer Perspectives combines visualization, layout, 
and analysis technology with an elegant platform architecture. Tom Sawyer 
Perspectives enables interaction with graph database sy [...]
          </div>
          <div class="col-sm-6 col-md-6">
             &nbsp;

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