Merge branch 'main' of https://github.com/zachlasiuk/ecosystem-dashbo…

…ard-for-arm into main

content/opensource_packages/AvxToNeon.md

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+---
+name: AvxToNeon
+category: HPC
+description: AvxToNeon is an open-source project that provides a solution for porting x86 AVX (Advanced Vector Extensions) instructions to ARM NEON (Advanced SIMD) instructions.
+download_url: https://github.com/kunpengcompute/AvxToNeon/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: v1.0.0
+    release_date: 2020/03/04
+
+
+optional_info:
+    homepage_url: https://github.com/kunpengcompute/AvxToNeon
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content: https://ecosystemdashboard.linaro.org/AvxToNeon/
+        official_docs: https://github.com/kunpengcompute/AvxToNeon#test
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and testing are done via the [tar archive](https://github.com/kunpengcompute/AvxToNeon/releases/tag/v1.0.0).
+
+---
+

content/opensource_packages/HMMER.md

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+---
+name: HMMER
+category: HPC
+description: HMMER is a bioinformatics toolset for identifying homologous sequences in sequence databases and making sequence alignments using Hidden Markov Models (HMMs).
+download_url: http://hmmer.org/download.html
+works_on_arm: true
+supported_minimum_version:
+    version_number: hmmer-3.4
+    release_date: 2023/08/15
+
+
+optional_info:
+    homepage_url: http://hmmer.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: http://hmmer.org/documentation.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and testing are done via the [tar archive](http://hmmer.org/download.html).
+
+---
+

content/opensource_packages/OpenH264.md

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+---
+name: OpenH264
+category: Video
+description: OpenH264 is an open-source video codec library developed by Cisco Systems that provides encoding and decoding of H.264 video streams.
+download_url: https://github.com/cisco/openh264/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: v1.0
+    release_date: 2014/05/06
+
+
+optional_info:
+    homepage_url: https://www.openh264.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/cisco/openh264#for-all-platforms
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and testing are done via the [tar archive](https://github.com/cisco/openh264/releases/tag/v1.0).
+
+---
+

content/opensource_packages/angularcli.md

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+---
+name: Angular CLI
+category: Languages and Frameworks
+description: Angular is a widely-used open-source web framework created by Google, aimed at developing dynamic and interactive single-page applications (SPAs).
+download_url: https://www.npmjs.com/package/@angular/cli?activeTab=versions
+works_on_arm: true
+supported_minimum_version:
+    version_number: 6.0.8
+    release_date: 2018/06/06
+
+
+optional_info:
+    homepage_url: https://angular.dev/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://angular.dev/installation
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and Testing are done using "npm install -g @angular/cli".
+
+---

content/opensource_packages/apache-doris.md

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+---
+name: Apache Doris
+category: Database
+description: Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale.
+download_url: https://doris.apache.org/download
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.2.1
+    release_date: 2022/12/31
+
+
+optional_info:
+    homepage_url: https://doris.apache.org
+    support_caveats: Note that a more optimized Apache Doris across architectures is available from version 2.1.6, released 2024/09/10, and 3.0.
+    alternative_options:
+    getting_started_resources:
+        arm_content: 
+        partner_content: https://doris.apache.org/docs/install/source-install/compilation-arm/ 
+        official_docs: https://doris.apache.org/docs/gettingStarted/quick-start
+    arm_recommended_minimum_version:
+        version_number:
+        release_date: 
+
+
+optional_hidden_info:
+    release_notes__supported_minimum: https://doris.apache.org/docs/releasenotes/v1.1/release-1.1.0
+    release_notes__recommended_minimum: 
+    other_info: Apache Doris performance on arm has improved dramatically since version 2.1, the latest versions of 2.1 and 3.0 are recommended. See release notes [here](https://doris.apache.org/docs/releasenotes/v2.1/release-2.1.6).
+---

content/opensource_packages/apache_drill.md

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+---
+name: Apache Drill
+category: Databases - Big-data
+description: Apache Drill is an open-source SQL query engine for interactive analysis of large-scale structured and semi-structured datasets.
+download_url: https://github.com/apache/drill/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.19.0
+    release_date: 2021/06/15
+
+
+optional_info:
+    homepage_url: https://drill.apache.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://drill.apache.org/docs/starting-drill-on-linux-and-mac-os-x/
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum: https://github.com/apache/drill/releases/tag/drill-1.19.0
+    release_notes__recommended_minimum:
+    other_info:
+
+---

content/opensource_packages/apache_knox.md

@@ -0,0 +1,29 @@
+---
+name: Apache Knox
+category: Databases - Big-data
+description: Apache Knox is a gateway that secures access to Hadoop services, providing a REST API for authentication and authorization management.
+download_url: https://cwiki.apache.org/confluence/display/KNOX/Apache+Knox+Releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: v1.5.0-release
+    release_date: 2020/12/06
+
+
+optional_info:
+    homepage_url: https://knox.apache.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://knox.apache.org/books/knox-2-1-0/user-guide.html#Quick+Start
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum: https://issues.apache.org/jira/browse/KNOX-2535
+    release_notes__recommended_minimum:
+    other_info:
+
+---

content/opensource_packages/apache_kudu.md

@@ -0,0 +1,29 @@
+---
+name: Apache Kudu
+category: Databases - Big-data
+description: Apache Kudu is a storage system designed for fast analytics, supporting real-time data processing and seamless integration with Hadoop ecosystems.
+download_url: https://kudu.apache.org/releases/
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.13.0
+    release_date: 2020/09/17
+
+
+optional_info:
+    homepage_url: https://kudu.apache.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://kudu.apache.org/docs/installation.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum: https://issues.apache.org/jira/browse/KUDU-3007
+    release_notes__recommended_minimum:
+    other_info:
+
+---

content/opensource_packages/bamtools.md

@@ -0,0 +1,29 @@
+---
+name: Bamtools
+category: Data-format
+description: BamTools is an open-source C++ library that facilitates reading, writing, and manipulating BAM files in bioinformatics, streamlining tasks like filtering alignments and converting between BAM and SAM formats.
+download_url: https://github.com/pezmaster31/bamtools/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 2.4.1
+    release_date: 2016/12/09
+
+optional_info:
+    homepage_url: https://hcc.unl.edu/docs/applications/app_specific/bioinformatics_tools/data_manipulation_tools/bamtools/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/pezmaster31/bamtools/wiki/Building-and-installing
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and testing are done manually using the released archive [tag](https://github.com/pezmaster31/bamtools/releases/tag/v2.4.1).
+
+---

content/opensource_packages/bk_cmdb.md

@@ -0,0 +1,29 @@
+---
+name: Bk-cmdb
+category: DevOps
+description: Bk-cmdb is a configuration management platform for managing assets and applications with custom models and data snapshots.
+download_url: https://github.com/TencentBlueKing/bk-cmdb/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: v3.10.41
+    release_date: 2023/07/31
+
+
+optional_info:
+    homepage_url: https://github.com/TencentBlueKing/bk-cmdb
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/TencentBlueKing/bk-cmdb/blob/master/docs/overview/source_compile.md
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Version "3.10.41" has been successfully installed and tested on the Neoverse N1, prior versions are failing to build.
+
+---

content/opensource_packages/caffe.md

@@ -0,0 +1,29 @@
+---
+name: Caffe
+category: Languages and Frameworks
+description: Caffe is a high-performance, open-source tool for deep learning, specializing in visual recognition tasks. It allows users to construct and train neural networks efficiently.
+download_url: https://launchpad.net/ubuntu/+source/caffe/1.0.0-6
+works_on_arm: true
+supported_minimum_version:
+    version_number: 1.0.0
+    release_date: 2018/01/29
+
+optional_info:
+    homepage_url: http://caffe.berkeleyvision.org/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: http://caffe.berkeleyvision.org/install_apt.html
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and Testing were done using "apt install caffe-cpu". The minimum version of caffe 1.0.0 corresponds to ubuntu:20.04.
+
+---

content/opensource_packages/cuttlefish.md

@@ -0,0 +1,29 @@
+---
+name: Android-Cuttlefish
+category: Miscellaneous
+description: Cuttlefish is a configurable Android Virtual Device (AVD) that runs both remotely and locally, and it also guarantees full fidelity with Android framework.
+download_url: https://github.com/google/android-cuttlefish/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.9.26
+    release_date: 2024/05/21
+
+
+optional_info:
+    homepage_url: https://source.android.com/docs/devices/cuttlefish
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://source.android.com/docs/devices/cuttlefish/get-started
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum: https://github.com/google/android-cuttlefish/tree/v0.9.26?tab=readme-ov-file#virtual-device-for-android-host-side-utilities
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 support is mentioned in the Readme.md in the first released version on GitHub, i.e 0.9.26.
+
+---

content/opensource_packages/dm.md

@@ -0,0 +1,29 @@
+---
+name: Data Model (DM)
+category: Database
+description: The dm package in R simplifies working with relational data by unifying local data frames and databases, offering tools for data manipulation, model creation, and deployment.
+download_url: https://github.com/cynkra/dm/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.1.2
+    release_date: 2020/05/04
+
+optional_info:
+    homepage_url: https://dm.cynkra.com/
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://dm.cynkra.com/#installation
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: Linux/ARM64 release notes are not available. Installation and testing are done via the [tar archive](https://github.com/cynkra/dm/releases/tag/v0.1.2).
+
+---