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https://github.com/chanzuckerberg/cellxgene.git
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3
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5b48c7aecf | ||
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ca8435de10 | ||
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0bff55201a |
@@ -7,6 +7,10 @@ on:
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branches:
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branches:
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- main
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- main
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# For debug - uncomment below to run on all PRs
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pull_request:
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branches: "*"
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env:
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env:
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JEST_ENV: prod
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JEST_ENV: prod
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@@ -28,13 +32,14 @@ jobs:
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strategy:
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strategy:
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fail-fast: false
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fail-fast: false
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matrix:
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matrix:
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# note: The `macos-latest` is latest Catalina version, and not Big Sur. So we explicitly ask for Big Sur (`macos-11`)
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os: [ubuntu-latest, macos-latest, macos-13]
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os: [ubuntu-latest, macos-latest, macos-13]
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python-version: ["3.10", "3.11", "3.12"]
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python-version: ["3.10", "3.11"]
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cellxgene_build: [main, latest]
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cellxgene_build: [main, latest]
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# add anndata pinned version test for subset of matrix configurations,
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# add anndata pinned version test for subset of matrix configurations,
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# in order to reduce matrix cross-product explosion
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# in order to reduce matrix cross-product explosion
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include:
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include:
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- python-version: 3.12
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- python-version: 3.11
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cellxgene_build: latest
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cellxgene_build: latest
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# TODO: dynamically use the literal version in requirements.txt,
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# TODO: dynamically use the literal version in requirements.txt,
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# to avoid having to update this in manually in the future
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# to avoid having to update this in manually in the future
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@@ -95,7 +100,7 @@ jobs:
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# keep same pip pkg versions as in the cxg release
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# keep same pip pkg versions as in the cxg release
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sed -i'' -e 's/-r requirements.txt//' server/requirements-dev.txt
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sed -i'' -e 's/-r requirements.txt//' server/requirements-dev.txt
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pip install -r server/requirements-dev.txt
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pip install -r server/requirements-dev.txt
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pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas flatbuffers==2.0.7
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pip install --force-reinstall numpy==2.0.1 numba>=0.60.0 pandas
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- name: Install anndata version per matrix variable
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- name: Install anndata version per matrix variable
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run: pip install anndata${{ matrix.anndata_version }}
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run: pip install anndata${{ matrix.anndata_version }}
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- name: Install node
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- name: Install node
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@@ -47,7 +47,7 @@ jobs:
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steps:
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steps:
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- uses: actions/checkout@v4
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- uses: actions/checkout@v4
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- name: Set up Python 3.12 (pyenv) # pyenv needed for mlflow in cli annotate tests
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- name: Set up Python 3.12 (pyenv) # pyenv needed for mlflow in cli annotate tests
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uses: gabrielfalcao/pyenv-action@a1fc55906be92612782934c70e3985b940bd0165
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uses: gabrielfalcao/pyenv-action@v9
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with:
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with:
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default: 3.12
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default: 3.12
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command: pip install -U pip # upgrade pip after installing python
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command: pip install -U pip # upgrade pip after installing python
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@@ -1,4 +1,4 @@
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<img src="./docs/cellxgene-logo.png" width="300">
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_an interactive explorer for single-cell transcriptomics data_
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_an interactive explorer for single-cell transcriptomics data_
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@@ -11,7 +11,8 @@ CZ CELLxGENE Annotate (pronounced "cell-by-gene") is an interactive data explore
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Whether you need to visualize one thousand cells or one million, CELLxGENE Annotate helps you gain insight into your single-cell data.
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Whether you need to visualize one thousand cells or one million, CELLxGENE Annotate helps you gain insight into your single-cell data.
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<img src="https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/crossfilter.gif" width="350" height="200" hspace="30"><img src="https://github.com/chanzuckerberg/cellxgene/raw/main/docs/images/category-breakdown.gif" width="350" height="200" hspace="30">
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# Getting started
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# Getting started
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@@ -27,7 +28,7 @@ Whether you need to visualize one thousand cells or one million, CELLxGENE Annot
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### Quick start
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### Quick start
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To install CELLxGENE Annotate you need Python 3.10+. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
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_To install CELLxGENE Annotate you need Python 3.10+_. We recommend [installing Annotate into a conda or virtual environment.](https://github.com/chanzuckerberg/cellxgene-documentation/blob/main/desktop/install.md)
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Install the package.
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Install the package.
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