Merge pull request #551 from odidev/dlpy-harnessCLI

Add Harness-CLI and Python-DLPy files

content/opensource_packages/harness-cli.md

@@ -0,0 +1,29 @@
+---
+name: Harness-cli
+category: Miscellaneous
+description: The harness CLI allow users to manage Harness entities through the use of resource YAML files for creating, deleting, and modifying them.
+download_url: https://github.com/harness/harness-cli/releases
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.0.2
+    release_date: 2023/06/30
+
+
+optional_info:
+    homepage_url: https://github.com/harness/harness-cli?tab=readme-ov-file#harness-cli
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://developer.harness.io/docs/platform/automation/cli/install/
+    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. The first linux-arm64 harness-cli tar is available from version 0.0.2 onwards on the GitHub releases.
+
+---

content/opensource_packages/python-dlpy.md

@@ -0,0 +1,29 @@
+---
+name: Python-DLPy
+category: AI/ML
+description: DLPy is a Python library for the SAS Deep learning features available in SAS Viya. DLPy provides an efficient way to apply deep learning methods to image, audio data, and text.
+download_url: https://github.com/sassoftware/python-dlpy/tags
+works_on_arm: true
+supported_minimum_version:
+    version_number: 0.6.1
+    release_date: 2018/04/05
+
+
+optional_info:
+    homepage_url: https://github.com/sassoftware/python-dlpy
+    support_caveats:
+    alternative_options:
+    getting_started_resources:
+        arm_content:
+        partner_content:
+        official_docs: https://github.com/sassoftware/python-dlpy?tab=readme-ov-file#prerequisites
+    arm_recommended_minimum_version:
+        version_number:
+        release_date:
+
+optional_hidden_info:
+    release_notes__supported_minimum:
+    release_notes__recommended_minimum:
+    other_info: There are no Linux/ARM64 release notes. Package can be installed via pip from the initial available version 0.6.1. Package releases platform-independent versioned tars on PyPi.
+
+---