diff --git a/packages/scib-metrics/meta.yaml b/packages/scib-metrics/meta.yaml
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+++ b/packages/scib-metrics/meta.yaml
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+name: scib-metrics
+description: |
+  scib-metrics provides accelerated, Python-only implementations of the scIB metrics for
+  benchmarking single-cell data integration methods, using JAX for jit-compilation and
+  hardware acceleration.
+project_home: https://github.com/YosefLab/scib-metrics
+documentation_home: https://scib-metrics.readthedocs.io/
+tutorials_home: https://scib-metrics.readthedocs.io/page/tutorials.html
+publications:
+  - 10.1038/s41592-021-01336-8 # scIB benchmarking paper, Nat Methods 2022
+install:
+  pypi: scib-metrics
+primary_category: scRNA-seq
+tags:
+  - data integration
+  - benchmarking
+  - GPU acceleration
+license: BSD-3-Clause
+language: Python
+contact:
+  - adamgayoso
+  - ori-kron-wis
+test_command: hatch test
+category: ecosystem
diff --git a/packages/scviva-tools/meta.yaml b/packages/scviva-tools/meta.yaml
new file mode 100644
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+name: scviva-tools
+description: |
+  scviva-tools is a consolidated spatial transcriptomics analysis toolkit built on scvi-tools,
+  providing niche-aware representation learning (scVIVA), deconvolution (DestVI, Stereoscope),
+  noise correction (ResolVI), imputation (GIMVI), and spatial mapping (Tangram) as first-class,
+  interoperable models.
+project_home: https://github.com/YosefLab/scviva-tools
+documentation_home: https://scviva-tools.readthedocs.io/
+tutorials_home: https://scviva-tools.readthedocs.io/page/tutorials/index.html
+publications:
+  - 10.1038/s41587-021-01206-w # Scvi-tools library paper, NBT 2022
+  - 10.1038/s41587-022-01272-8 # DestVI
+  - 10.1101/2025.01.20.634005 # resolVI
+  - 10.1101/2025.06.01.657182 # scVIVA
+  - 10.1101/2025.11.11.687271 # Harreman
+  - 10.1186/s13059-024-03419-z # VIVS
+  - 10.48550/arXiv.1905.02269 # gimVI
+  - 10.1038/s42003-020-01247-y # Stereoscope
+  - 10.1038/s41592-021-01264-7 # Tangram
+  - 10.1038/s41587-021-01139-4 # Cell2location
+  - 10.64898/2026.01.15.699786 # CSDE
+install:
+  pypi: scviva-tools
+primary_category: Spatial
+tags:
+  - spatial transcriptomics
+  - deconvolution
+  - denoising
+  - data integration
+  - deep learning
+  - probabilistic modeling
+license: BSD-3-Clause
+language: Python
+contact:
+  - ori-kron-wis
+test_command: hatch test
+category: ecosystem