Merge pull request #667 from ArmDeveloperEcosystem/main

zachlasiuk · web-flow · commit c7e02f594801 · 2025-06-23T13:00:09.000-05:00
Added 6 new packages and updated several more; Template updated for background image
diff --git a/.linkcheckerrc b/.linkcheckerrc
@@ -6,6 +6,9 @@ ignore=
   ^https://www\.ansys\.com/
   ^https://lsdyna\.ansys\.com/
   ^https://blogs\.oracle\.com/
+  ^https://dev\.mysql\.com/
+  ^https://www\.cadence\.com/
+
   
   # One off locations
   https://releases.crossplane.io/stable/
@@ -22,3 +25,18 @@ ignore=
   https://docs.rafay.co/learn/quickstart/eks/graviton/workload/
   https://www.sap.com/india/products/technology-platform/hana.html
   https://gmplib.org/manual/Installing-GMP
+  https://developers.redhat.com/products/ansible/download
+  https://docs.centos.org/
+  https://pyropus.ca./software/memtester/
+  https://dev.mysql.com/downloads/
+  https://developers.redhat.com/blog/2017/06/13/running-hpc-workloads-across-multiple-architectures-with-red-hat-enterprise-linux
+  https://www.oracle.com/cloud/
+  https://developers.redhat.com/products/rhel/download
+  https://mvnrepository.com/artifact/org.rocksdb/rocksdbjni
+  https://wiki.samba.org/index.php/Installing_Samba
+  https://help.split.io/hc/en-us/articles/360020359652-Python-SDK
+  https://help.split.io/hc/en-us/articles/360020037072-Split-Evaluator#docker-recommended
+  https://www.intersystems.com/data-platform/
+  https://www.netlib.org/lapack/#_previous_release
+  https://seqera.io/platform/
+  https://spiffe.io/docs/latest/try/getting-started-linux-macos-x/
diff --git a/assets/css/cross-page.css b/assets/css/cross-page.css
@@ -167,7 +167,7 @@ table tbody td {
 /* Fix Nav Masthead Breadcrumb container */
 /*************************************/
 #nav-masthead-breadcrumbs {
-    background-image: url("/img/masthead-background.png"); /* The image used */
+    background-image: url("/ecosystem-dashboard/img/masthead-background.png"); /* The image used */
     background-color: var(--arm-color-footing);            /* Used if the image is unavailable */
     background-size: cover;
 }
@@ -382,7 +382,7 @@ html[theme='light'] body {
 /* Mobile background */
 @media (max-width: 768px) {
     html[theme='dark'] body {
-        background-image: url("/img/bg-img-736x800.png"); 
+        background-image: url("/ecosystem-dashboard/img/bg-img-736x800.png"); 
         background-color: var(--arm-color-footing);      
         background-position: 0% 100%;
         background-attachment: fixed;
@@ -392,7 +392,7 @@ html[theme='light'] body {
 /* Laptop background */
 @media (min-width: 768px) {
     html[theme='dark'] body {
-        background-image: url("/img/bg-img-1920x1600.png");
+        background-image: url("/ecosystem-dashboard/img/bg-img-1920x1600.png");
         background-color: var(--arm-color-footing);      
         background-position: 0% 100%;
         background-attachment: fixed;
@@ -403,7 +403,7 @@ html[theme='light'] body {
 /* Large Monitor background */
 @media (min-width: 1400px) {
     html[theme='dark'] body {
-        background-image: url("/img/bg-img-2500x1700.png");
+        background-image: url("/ecosystem-dashboard/img/bg-img-2500x1700.png");
         background-color: var(--arm-color-footing);      
         background-position: 0% 100%;
         background-attachment: fixed;
diff --git a/config.toml b/config.toml
@@ -32,5 +32,5 @@ arm_url = "https://developer.arm.com/ecosystem-dashboard/"
 # For metadata posting on socials
 title = 'Software Ecosystem Dashboard for Arm'
 description = 'Discover what software packages work on Arm servers and how to get started. A great resource for migrating to Arm.'
-social_image = '/img/social-image.jpg'
+social_image = '/ecosystem-dashboard/img/social-image.jpg'
 twitter_handle = '@ArmSoftwareDev'
diff --git a/content/commercial_packages/chronosphere-telemetry-pipeline.md b/content/commercial_packages/chronosphere-telemetry-pipeline.md
@@ -14,7 +14,7 @@ optional_info:
     alternative_options:
     getting_started_resources:
         arm_content: 
-        vendor_announcement: https://calyptia.com/blog/scaling-builds-with-actuated
+        vendor_announcement:
         official_docs: https://docs.chronosphere.io/pipeline-install/linux/ubuntu-server-linux
 
 
diff --git a/content/commercial_packages/commvault.md b/content/commercial_packages/commvault.md
@@ -14,7 +14,7 @@ optional_info:
     alternative_options:
     getting_started_resources:
         arm_content: 
-        vendor_announcement: https://documentation.commvault.com/2024e/essential/newsletter_for_new_features_in_commvault_platform_release_2024.html
+        vendor_announcement: 
         official_docs: https://documentation.commvault.com/2023e/essential/quick_start_guide.html
 
 optional_hidden_info:
diff --git a/content/commercial_packages/deepsparse.md b/content/commercial_packages/deepsparse.md
@@ -13,7 +13,7 @@ optional_info:
     alternative_options:
     getting_started_resources:
         arm_content: 
-        vendor_announcement: https://docs.neuralmagic.com/products/deepsparse/releases/#deepsparse-v1-6-0
+        vendor_announcement: 
         official_docs: https://docs.neuralmagic.com/get-started/install/deepsparse
 
 optional_hidden_info:
diff --git a/content/commercial_packages/exceed-turbox.md b/content/commercial_packages/exceed-turbox.md
@@ -1,15 +1,15 @@
 ---
 name: Exceed-TurboX
-vendor: Opentext
+vendor: Rocket Software
 category: Miscellaneous
 description: OpenText Exceed TurboX (ETX) is a remote access software solution designed to provide high-performance virtual desktop and application delivery, particularly suited for graphics-intensive applications used in engineering and design.
-product_url: https://www.opentext.com/products/exceed-turbox
+product_url: https://etxlive.rocketsoftware.com/
 works_on_arm: true
 release_date_on_arm: 2021/09/03
 
 
 optional_info:
-    homepage_url: https://www.opentext.com/products/exceed-turbox
+    homepage_url: https://etxlive.rocketsoftware.com/
     support_caveats:
     alternative_options:
     getting_started_resources:
diff --git a/content/commercial_packages/okta.md b/content/commercial_packages/okta.md
@@ -13,7 +13,7 @@ optional_info:
     alternative_options:
     getting_started_resources:
         arm_content: 
-        vendor_announcement: https://help.okta.com/asa/en-us/content/topics/releasenotes/advanced-server-access-release-notes-archive-2023-and-older.htm#panel2
+        vendor_announcement:
         official_docs: https://help.okta.com/asa/en-us/content/topics/adv_server_access/docs/start-here.htm
 
 optional_hidden_info:
diff --git a/content/opensource_packages/conda.md b/content/opensource_packages/conda.md
@@ -0,0 +1,31 @@
+---
+name: Conda
+category: Miscellaneous
+description: Conda is an open-source package manager and environment manager used in distributions like Miniforge and Anaconda. It simplifies software installation, dependency management, and environment isolation across multiple programming languages.
+download_url: https://docs.conda.io/projects/conda/en/stable/#install
+works_on_arm: true
+supported_minimum_version:
+    version_number: 4.3.18
+    release_date: 2017/05/10
+ 
+ 
+optional_info:
+    homepage_url: https://docs.conda.io/projects/conda/en/stable/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content: https://learn.arm.com/install-guides/anaconda/
+        partner_content:
+        official_docs: https://docs.conda.io/projects/conda/en/stable/user-guide/install/linux.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum: https://github.com/conda/conda/releases/tag/4.3.18
+    release_notes__recommended_minimum:
+    other_info:
+ 
+---
diff --git a/content/opensource_packages/electron.md b/content/opensource_packages/electron.md
@@ -16,7 +16,7 @@ optional_info:
     getting_started_resources:
         arm_content: https://learn.arm.com/learning-paths/laptops-and-desktops/electron/how-to-1/
         partner_content: 
-        official_docs: https://www.electronjs.org/docs/latest/tutorial/quick-start
+        official_docs: https://www.electronjs.org/docs/latest/tutorial/tutorial-first-app
     arm_recommended_minimum_version:
         version_number:
         release_date:
diff --git a/content/opensource_packages/fftw.md b/content/opensource_packages/fftw.md
@@ -1,20 +1,20 @@
 ---
 name: FFTW (Fastest Fourier Transform in the West)
 category: HPC
-description: FFTW (Fastest Fourier Transform in the West) is a highly optimized, open-source C library designed for computing the discrete Fourier transform (DFT) in one or more dimensions.
+description: FFTW is a highly optimized C library for computing discrete Fourier transforms (DFTs) across multiple dimensions and data types, offering portable, architecture-aware performance for both real and complex inputs.
 download_url: https://fftw.org/pub/fftw/
 works_on_arm: true
 supported_minimum_version:
-    version_number: 3.3.2
-    release_date: 2012/05/06
+    version_number: 3.3.7
+    release_date: 2017/10/29
 
 
 optional_info:
     homepage_url: https://www.fftw.org/index.html
     support_caveats:
     alternative_options:
     getting_started_resources:
-        arm_content:
+        arm_content: https://community.arm.com/arm-community-blogs/b/servers-and-cloud-computing-blog/posts/arm-performance-libraries-24-10
         partner_content:
         official_docs: https://www.fftw.org/fftw3_doc/Installation-on-Unix.html
     arm_recommended_minimum_version:
@@ -25,9 +25,9 @@ optional_info:
 
 
 optional_hidden_info:
-    release_notes__supported_minimum:
+    release_notes__supported_minimum: https://www.fftw.org/release-notes.html
     release_notes__recommended_minimum:
-    other_info: Linux/ARM64 release notes are not available. Installation and testing are done via the [tar archive](https://fftw.org/pub/fftw/fftw-3.3.2.tar.gz).
+    other_info: The official support for Aarch64 has been added to version 3.3.7, since the maintainers had proper infrastructure to test this release for Arm.
 
 ---
 
diff --git a/content/opensource_packages/knative.md b/content/opensource_packages/knative.md
@@ -14,7 +14,7 @@ optional_info:
     alternative_options:
     getting_started_resources:
         arm_content: https://community.arm.com/arm-community-blogs/b/infrastructure-solutions-blog/posts/serverless-on-arm64
-        partner_content: https://deploy.equinix.com/blog/state-of-cloud-native-on-arm/
+        partner_content: 
         official_docs: https://knative.dev/docs/install/
     arm_recommended_minimum_version:
         version_number:
diff --git a/content/opensource_packages/nextflow.md b/content/opensource_packages/nextflow.md
@@ -0,0 +1,31 @@
+---
+name: Nextflow
+category: HPC
+description: Nextflow is a scalable and portable workflow orchestration system that simplifies building parallel and reproducible data pipelines across local, HPC, and cloud environments using a flexible dataflow programming model.
+download_url: https://github.com/nextflow-io/nextflow/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 23.07.0-edge
+    release_date: 2023/07/22
+ 
+ 
+optional_info:
+    homepage_url: https://nextflow.io/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://nextflow.io/docs/latest/install.html#install-page
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum: https://github.com/nextflow-io/nextflow/releases/tag/v23.07.0-edge
+    release_notes__recommended_minimum:
+    other_info:
+ 
+---
diff --git a/content/opensource_packages/nfcore.md b/content/opensource_packages/nfcore.md
@@ -0,0 +1,31 @@
+---
+name: nf-core
+category: HPC
+description: nf-core is a community-driven collection of curated, reproducible bioinformatics pipelines built with Nextflow, offering standardized, portable workflows for users, facilities, and developers. Its companion Python package, nf-core tools, provides templates and utilities to streamline pipeline development and usage.
+download_url: https://pypi.org/project/nf-core/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.0.1
+    release_date: 2018/07/18
+ 
+ 
+optional_info:
+    homepage_url: https://nf-co.re/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/nf-core/tools#python-package-index
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no release notes for Linux/Arm64. nf-core version on Pypi, 1.0.1, can be installed via pip on the Neoverse N1.
+ 
+---
diff --git a/content/opensource_packages/onednn.md b/content/opensource_packages/onednn.md
@@ -16,7 +16,7 @@ optional_info:
     getting_started_resources:
         arm_content: https://community.arm.com/arm-community-blogs/b/infrastructure-solutions-blog/posts/machine-learning-inference-on-aws-graviton3
         partner_content: https://aws.amazon.com/blogs/machine-learning/run-machine-learning-inference-workloads-on-aws-graviton-based-instances-with-amazon-sagemaker/
-        official_docs: https://oneapi-src.github.io/oneDNN/v2.5/page_getting_started_cpp.html#doxid-getting-started-cpp
+        official_docs: https://uxlfoundation.github.io/oneDNN/
     arm_recommended_minimum_version:
         version_number:
         release_date:
diff --git a/content/opensource_packages/prometheus.md b/content/opensource_packages/prometheus.md
@@ -16,7 +16,7 @@ optional_info:
     getting_started_resources: 
         arm_content: 
         partner_content:  
-        official_docs: https://prometheus.io/docs/prometheus/latest
+        official_docs: https://prometheus.io/docs/introduction/overview/
     arm_recommended_minimum_version: 
         version_number: 
         release_date: 
diff --git a/content/opensource_packages/quilt.md b/content/opensource_packages/quilt.md
@@ -0,0 +1,31 @@
+---
+name: Quilt
+category: Miscellaneous
+description: Quilt helps teams work more effectively with data by streamlining how they find, collaborate on, and analyze datasets. Built for data-centric organizations, it treats data like code—making it easier to manage, version, and share securely—while supporting fast experimentation and maintaining consistency across large-scale workflows.
+download_url: https://pypi.org/project/quilt3/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 3.2.0
+    release_date: 2020/09/09
+ 
+ 
+optional_info:
+    homepage_url: https://www.quilt.bio/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://docs.quilt.bio/quilt-python-sdk/installation
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no Linux/arm64 release notes. Quilt3 version 3.2.0 can be installed via pip on the Arm platform. Prior versions are stuck to download boto3 library on both x86 and Arm platforms.
+ 
+---
diff --git a/content/opensource_packages/ramalama.md b/content/opensource_packages/ramalama.md
@@ -0,0 +1,31 @@
+---
+name: Ramalama
+category: Containers and Orchestration
+description: RamaLama is an open-source tool that simplifies local AI model inference by using OCI containers, automatically detecting GPUs and pulling optimized container images—letting you run models securely and without host configuration using familiar container workflows.
+download_url: https://pypi.org/project/ramalama/#history
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.0.1
+    release_date: 2024/10/01
+ 
+ 
+optional_info:
+    homepage_url: https://ramalama.ai/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/containers/ramalama#install
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum: https://pypi.org/project/ramalama/0.0.1/
+    release_notes__recommended_minimum:
+    other_info: There are no release notes for Linux/Arm64. Ramalama initial version on Pypi, i.e. 0.0.1, can be installed via pip on the Neoverse N1.
+ 
+---
diff --git a/content/opensource_packages/wave.md b/content/opensource_packages/wave.md
@@ -0,0 +1,31 @@
+---
+name: Wave
+category: Containers and Orchestration
+description: Wave automates the creation of container images by generating them as needed, eliminating the manual steps of building and uploading to a registry. It supports both temporary, short-lived containers and persistent images stored in a registry for long-term use.
+download_url: https://github.com/seqeralabs/wave/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.1.0
+    release_date: 2023/11/10
+ 
+ 
+optional_info:
+    homepage_url: https://seqera.io/wave/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://docs.seqera.io/wave/get-started
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+        reference_content:
+        rationale:
+ 
+optional_hidden_info:
+    release_notes__supported_minimum: https://github.com/seqeralabs/wave/releases/tag/v1.1.0
+    release_notes__recommended_minimum:
+    other_info:
+ 
+---
