TileDB provides effortless scalability for Python and R code using serverless user-defined functions (UDFs). UDFs come in three types:
Generic: run any Python function at scale with arbitrary input arguments.
Single-array: apply a function to a predefined slice of a TileDB array.
Multi-array: UDFs that can be applied to any number of arrays.
Generic UDFs
Generic UDFs take any Python or R code and run the code on a fully-managed, automatically-provisioned node. After function completion, TileDB automatically returns the results to the caller.
To run a generic UDF, first define a function, then execute it with TileDB’s exec
functionality:
def get_remote_time():
import datetime
return (
datetime.datetime.now(datetime.timezone.utc)
.astimezone()
.strftime("%Y-%m- %d %H:%M:%S %Z%z" )
)
remote_time = tiledb.cloud.udf.exec (get_remote_time)
print (remote_time)
2024-10-07 14:51:57 UTC+0000
The UDF execution environment timezone is UTC, so for many users, the result of the function above should be offset from your local time, because the function is executed remotely.
For Python, note that the function passed in to exec
must not be called directly within the exec
invocation. For example, tiledb.cloud.udf.exec( get_remote_time() )
will error out (try it!) because it will pass the result of get_remote_time()
(executed locally) to the exec
function, which expects a callable object.
Note that UDFs are completely stateless : the UDF process only exists for the duration of execution, and any changes will not be visible during subsequent execution runs. For example, changes to a local path, such as installing a package or writing to a file, will completely disappear on the next run.
Array UDFs
Unlike generic UDFs, array UDFs are run against a specific array, and a specific slice of that array. Similar to the TileDB Python API, the input is an OrderedDict of results after applying the given array slice. To run an array UDF, the following steps are required:
Define a function which takes a NumPy array as the only argument.
Open the target array.
Call a.apply(fn, range)
.
For example, you can apply the NumPy median
function to a TileDB array as follows:
# Define the UDF
# The input is the array slice results as an OrderedDict
def median(data):
import numpy
return numpy.median(data["a" ])
# The "apply" function takes as input the function, an array slice
# and any attribute subset, and passes to the function the result of
# that TileDB query, i.e., A.query(attrs=["a"])[1:2, 1:2]
with tiledb.open ("tiledb://TileDB-Inc/quickstart_dense" ) as A:
results = A.apply (median, [(1 , 2 ), (1 , 2 )], attrs= ["a" ])
print (results)
Run a UDF by URI
Alternatively, you may run an array UDF directly by URI, without first opening the array locally. To do this, pass a valid array URI as the first argument to tiledb.cloud.udf.exec
, then a function handle, then any optional arguments.
tiledb.cloud.array.apply (
"tiledb://TileDB-Inc/quickstart_dense" ,
median,
[[(1 , 2 )], [slice (1 , 2 )]],
attrs= ["a" ],
)
Multi-Array UDFs
Multi-array UDFs let you apply a function on a list of arrays, which specifies the array name, subarray on which to apply the UDF, and a subset of array attributes. This can be useful for performing join operations, data fusion, and much more.
array_1 = "tiledb://TileDB-Inc/quickstart_sparse"
array_2 = "tiledb://TileDB-Inc/quickstart_dense"
def median(data):
import numpy
# When you have multiple arrays, the parameter
# we pass in is a list of ordered dictionaries.
# The list is in the order of the arrays you asked for.
return (
# perform a median over both arrays
numpy.median(
numpy.concatenate((data[0 ]["a" ].flatten(), data[1 ]["a" ].flatten()))
)
)
# The following will create the list of arrays to take part
# in the multi-array UDF. Each has as input the array name,
# a multi-index for slicing and a list of attributes to subselect on.
array_list = tiledb.cloud.array.ArrayList()
array_list.add(array_1, [(1 , 4 ), (1 , 4 )], ["a" ])
array_list.add(array_2, [(1 , 2 ), (1 , 4 )], ["a" ])
# This will execute `median` using as input the result of the
# slicing and attribute subselection for each of the arrays
# in `array_list`
result = tiledb.cloud.array.exec_multi_array_udf(median, array_list)
print (result)
Registered UDFs
You may also register UDFs within the catalog for sharing and reuse within the same framework as all other assets. To create a registered UDF, first define a function taking zero or more arguments. Then call tiledb.cloud.udf.register_generic_udf
, passing the (unquoted) function name as the first argument.
def mymedian(vals):
import numpy
return numpy.median(vals)
tiledb.cloud.udf.register_generic_udf(mymedian, name= "my_median" , namespace= namespace)
A registered UDF may be executed with tiledb.cloud.exec
, passing the <namespace>/<UDF name>
to run, and, optionally, any arguments:
import numpy as np
tiledb.cloud.udf.exec (f" { namespace} /my_median" , np.arange(10 ))
Finally, a registered UDF may be deleted with tiledb.cloud.udf.delete
:
tiledb.cloud.udf.delete(f"tiledb:// { namespace} /my_median" )
The function tiledb.cloud.udf.deregister
is also available. However, it will only un-catalog but not remove the UDF’s backing data from storage. Therefore, re-registering a UDF with the same name and default locations will fail unless the UDF data is manually removed from the backing object store (e.g. Amazon S3).
Resource classes
TileDB offers two resource classes available for UDF execution: Standard (default) and Large . The following table lists the capacity levels for each class:
Standard
2 CPUs, 2 GB RAM
Large
8 CPUs, 8 GB RAM
You can set the Large resource class by passing resource_class="large"
to any UDF exec*
function:
result = tiledb.cloud.array.exec_multi_array_udf(
median, array_list, resource_class= "large"
)
print (result)
UDF images
TileDB offers the following Python images for use with UDFs:
default
(default)
genomics
geo
imaging-dev
vectorsearch
You can set the UDF image by passing image_name="<image_name>"
to any UDF exec*
function:
result = tiledb.cloud.array.exec_multi_array_udf(
median, array_list, image_name= "vectorsearch"
)
print (result)
TileDB also offers a UDF image for R. You can view a list of dependencies for each image here:
Dependencies
_libgcc_mutex
0.1
conda_forge
conda-forge
_openmp_mutex
4.5
2_kmp_llvm
conda-forge
absl-py
1.4.0
pyhd8ed1ab_0
conda-forge
aiobotocore
2.15.2
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conda-forge
aiohappyeyeballs
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aiohttp
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aioitertools
0.12.0
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aiosignal
1.3.1
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conda-forge
alsa-lib
1.2.13
hb9d3cd8_0
conda-forge
anndata
0.10.9
pyhd8ed1ab_0
conda-forge
array-api-compat
1.9.1
pyhd8ed1ab_0
conda-forge
asn1crypto
1.5.1
pyhd8ed1ab_0
conda-forge
astunparse
1.6.3
pyhd8ed1ab_2
conda-forge
async-timeout
5.0.1
pyhd8ed1ab_0
conda-forge
attr
2.5.1
h166bdaf_1
conda-forge
attrs
24.2.0
pyh71513ae_0
conda-forge
aws-c-auth
0.7.3
h28f7589_1
conda-forge
aws-c-cal
0.6.1
hc309b26_1
conda-forge
aws-c-common
0.9.0
hd590300_0
conda-forge
aws-c-compression
0.2.17
h4d4d85c_2
conda-forge
aws-c-event-stream
0.3.1
h2e3709c_4
conda-forge
aws-c-http
0.7.11
h00aa349_4
conda-forge
aws-c-io
0.13.32
he9a53bd_1
conda-forge
aws-c-mqtt
0.9.3
hb447be9_1
conda-forge
aws-c-s3
0.3.14
hf3aad02_1
conda-forge
aws-c-sdkutils
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h4d4d85c_1
conda-forge
aws-checksums
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h4d4d85c_1
conda-forge
aws-crt-cpp
0.21.0
hb942446_5
conda-forge
aws-sdk-cpp
1.10.57
h85b1a90_19
conda-forge
awscli
1.35.2
py39hf3d152e_0
conda-forge
bcftools
1.20
h8b25389_1
bioconda
bedtools
2.31.1
hf5e1c6e_2
bioconda
blas
2.125
openblas
conda-forge
blas-devel
3.9.0
25_linux64_openblas
conda-forge
blinker
1.9.0
pyhff2d567_0
conda-forge
blosc
1.21.5
h0f2a231_0
conda-forge
boto3
1.35.36
pyhd8ed1ab_0
conda-forge
botocore
1.35.36
pyge38_1234567_0
conda-forge
brotli
1.0.9
h166bdaf_9
conda-forge
brotli-bin
1.0.9
h166bdaf_9
conda-forge
brotlipy
0.7.0
py39h27cfd23_1003
pkgs/main
bzip2
1.0.8
h4bc722e_7
conda-forge
c-ares
1.33.1
heb4867d_0
conda-forge
c-blosc2
2.15.1
hc57e6cf_0
conda-forge
ca-certificates
2024.8.30
hbcca054_0
conda-forge
cached-property
1.5.2
hd8ed1ab_1
conda-forge
cached_property
1.5.2
pyha770c72_1
conda-forge
cachetools
5.5.0
pyhd8ed1ab_0
conda-forge
cairo
1.18.0
h3faef2a_0
conda-forge
cellxgene-census
1.15.0
pyh4471522_2
tiledb
certifi
2024.8.30
pyhd8ed1ab_0
conda-forge
cffi
1.17.1
py39h15c3d72_0
conda-forge
chardet
4.0.0
py39h06a4308_1003
pkgs/main
charset-normalizer
3.4.0
pyhd8ed1ab_0
conda-forge
click
8.1.7
unix_pyh707e725_0
conda-forge
cloudpickle
2.2.1
pyhd8ed1ab_0
conda-forge
cmake
3.30.3
hf9cb763_0
conda-forge
colorama
0.4.6
pyhd8ed1ab_0
conda-forge
conda
4.10.3
py39hf3d152e_4
conda-forge
conda-package-handling
1.7.3
py39h27cfd23_1
pkgs/main
contourpy
1.3.0
py39h74842e3_2
conda-forge
cpp-expected
1.1.0
hf52228f_0
conda-forge
cryptography
42.0.8
py39h8169da8_0
conda-forge
cycler
0.12.1
pyhd8ed1ab_0
conda-forge
cytoolz
1.0.0
py39h8cd3c5a_1
conda-forge
dask-core
2024.8.0
pyhd8ed1ab_0
conda-forge
dbus
1.13.6
h5008d03_3
conda-forge
deprecated
1.2.15
pypi_0
pypi
dill
0.3.9
pyhd8ed1ab_0
conda-forge
dm-tree
0.1.8
py39h45438f2_0
conda-forge
docutils
0.16
py39hf3d152e_5
conda-forge
efficientnet-pytorch
0.7.1
pyhd8ed1ab_1
conda-forge
eigen
3.2
3
bioconda
etils
1.5.1
pyhd8ed1ab_1
conda-forge
exceptiongroup
1.2.2
pyhd8ed1ab_0
conda-forge
expat
2.6.4
h5888daf_0
conda-forge
faiss
1.8.0
py39h1df3c28_1_cpu
conda-forge
faiss-cpu
1.8.0
h718b53a_1
conda-forge
fftw
3.3.10
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conda-forge
filelock
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conda-forge
flatbuffers
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fmt
9.1.0
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font-ttf-dejavu-sans-mono
2.37
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conda-forge
font-ttf-inconsolata
3.000
h77eed37_0
conda-forge
font-ttf-source-code-pro
2.038
h77eed37_0
conda-forge
font-ttf-ubuntu
0.83
h77eed37_3
conda-forge
fontconfig
2.15.0
h7e30c49_1
conda-forge
fonts-conda-ecosystem
1
0
conda-forge
fonts-conda-forge
1
0
conda-forge
fonttools
4.55.0
py39h9399b63_0
conda-forge
freetype
2.12.1
h267a509_2
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frozenlist
1.5.0
py39h8cd3c5a_0
conda-forge
fsspec
2024.10.0
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conda-forge
gast
0.4.0
pyh9f0ad1d_0
conda-forge
geos
3.13.0
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conda-forge
get-annotations
0.1.2
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conda-forge
gettext
0.22.5
he02047a_3
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gettext-tools
0.22.5
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conda-forge
gflags
2.2.2
h5888daf_1005
conda-forge
giflib
5.2.2
hd590300_0
conda-forge
git-lfs
3.6.0
h647637d_0
conda-forge
glib
2.82.2
h44428e9_0
conda-forge
glib-tools
2.82.2
h4833e2c_0
conda-forge
glog
0.6.0
h6f12383_0
conda-forge
google-auth
2.36.0
pyhff2d567_0
conda-forge
google-auth-oauthlib
1.0.0
pyhd8ed1ab_1
conda-forge
google-pasta
0.2.0
pyhd8ed1ab_1
conda-forge
googleapis-common-protos
1.66.0
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conda-forge
graphite2
1.3.13
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conda-forge
grpcio
1.54.3
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conda-forge
gsl
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conda-forge
gst-plugins-base
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gstreamer
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h5py
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conda-forge
harfbuzz
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hdf5
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conda-forge
hnswlib
0.7.0
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htslib
1.20
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tiledb
icu
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conda-forge
idna
2.10
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pkgs/main
imagecodecs-lite
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imageio
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importlib-metadata
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importlib-resources
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importlib_metadata
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importlib_resources
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jaeger-client
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pypi_0
pypi
jax
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jaxlib
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jmespath
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joblib
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keras
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keras-applications
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keras-preprocessing
1.1.2
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keyutils
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kiwisolver
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krb5
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lame
3.100
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lcms2
2.15
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ld_impl_linux-64
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legacy-api-wrap
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lerc
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libabseil
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libaec
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libarchive
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libarrow
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libasprintf
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libasprintf-devel
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libblas
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libbrotlicommon
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libbrotlidec
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libbrotlienc
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libcap
2.69
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libcblas
3.9.0
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conda-forge
libclang
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libclang13
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libcrc32c
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libcups
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libcurl
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conda-forge
libdeflate
1.19
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libedit
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conda-forge
libev
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libevent
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libexpat
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libfaiss
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libffi
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libflac
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libgcc
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libgcc-ng
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libgcrypt
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libgettextpo
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libgfortran
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libgomp
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libgoogle-cloud
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libgrpc
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libitk
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libjpeg-turbo
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conda-forge
liblapack
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liblapacke
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libllvm14
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libllvm15
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libnsl
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libnuma
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libogg
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libopenblas
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libpng
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libpq
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libprotobuf
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libsndfile
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hc60ed4a_1
conda-forge
libsolv
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h3509ff9_0
conda-forge
libsqlite
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conda-forge
libssh2
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conda-forge
libstdcxx
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hc0a3c3a_1
conda-forge
libstdcxx-ng
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h4852527_1
conda-forge
libsystemd0
256.7
h2774228_1
conda-forge
libthrift
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h8fd135c_2
conda-forge
libtiff
4.6.0
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conda-forge
libtiledbsoma
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hd1a9fd6_0
tiledb/label/rc
libtiledbvcf
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tiledb
libutf8proc
2.8.0
h166bdaf_0
conda-forge
libuuid
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h0b41bf4_0
conda-forge
libuv
1.49.2
hb9d3cd8_0
conda-forge
libvorbis
1.3.7
h9c3ff4c_0
conda-forge
libwebp-base
1.4.0
hd590300_0
conda-forge
libxcb
1.15
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conda-forge
libxcrypt
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hd590300_1
conda-forge
libxkbcommon
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h662e7e4_0
conda-forge
libxml2
2.12.7
h4c95cb1_3
conda-forge
libzlib
1.3.1
h4ab18f5_1
conda-forge
llvm-openmp
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h024ca30_0
conda-forge
llvmlite
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py39hf8b6b1a_1
conda-forge
locket
1.0.0
pyhd8ed1ab_0
conda-forge
lz4-c
1.9.4
hcb278e6_0
conda-forge
lzo
2.10
hd590300_1001
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0.43.2
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platformdirs
4.3.6
pyhd8ed1ab_0
conda-forge
ply
3.11
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conda-forge
portalocker
3.0.0
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conda-forge
promise
2.3
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conda-forge
propcache
0.2.0
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conda-forge
protobuf
4.21.12
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conda-forge
psutil
6.1.0
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conda-forge
pthread-stubs
0.4
hb9d3cd8_1002
conda-forge
pulseaudio-client
16.1
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conda-forge
py-cpuinfo
9.0.0
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conda-forge
pyarrow
12.0.1
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conda-forge
pyarrow-hotfix
0.6
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conda-forge
pyasn1
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conda-forge
pyasn1-modules
0.4.1
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conda-forge
pybedtools
0.10.0
py39hdf45acc_2
bioconda
pybind11-abi
4
hd8ed1ab_3
conda-forge
pycosat
0.6.3
py39h27cfd23_0
pkgs/main
pycparser
2.20
py_2
pkgs/main
pydantic
2.10.0
pyh10f6f8f_0
conda-forge
pydantic-core
2.27.0
py39he612d8f_0
conda-forge
pyjwt
2.10.0
pyhff2d567_0
conda-forge
pymupdf
1.24.14
pypi_0
pypi
pynndescent
0.5.13
pyhff2d567_0
conda-forge
pyopenssl
20.0.1
pypi_0
pypi
pyparsing
3.2.0
pyhd8ed1ab_1
conda-forge
pypdf
3.17.4
pyhd8ed1ab_0
conda-forge
pyqt
5.15.9
py39h52134e7_5
conda-forge
pyqt5-sip
12.12.2
py39h3d6467e_5
conda-forge
pysam
0.22.0
py39h68d8fd3_1
tiledb
pysocks
1.7.1
py39h06a4308_0
pkgs/main
pytables
3.9.2
py39hd89fbf8_3
conda-forge
python
3.9.20
h13acc7a_1_cpython
conda-forge
python-dateutil
2.9.0.post0
pyhff2d567_0
conda-forge
python-flatbuffers
24.3.25
pyh59ac667_0
conda-forge
python-tzdata
2024.2
pyhd8ed1ab_0
conda-forge
python_abi
3.9
5_cp39
conda-forge
pytorch
2.0.0
cpu_mkl_py39h9f63279_101
conda-forge
pytz
2024.2
pyhd8ed1ab_0
conda-forge
pyu2f
0.1.5
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conda-forge
pywavelets
1.6.0
py39hd92a3bb_0
conda-forge
pyyaml
6.0.2
py39h8cd3c5a_1
conda-forge
qhull
2020.2
h434a139_5
conda-forge
qt-main
5.15.8
h5810be5_19
conda-forge
rdma-core
28.9
h59595ed_1
conda-forge
re2
2023.03.02
h8c504da_0
conda-forge
readline
8.2
h8228510_1
conda-forge
regex
2024.11.6
py39h8cd3c5a_0
conda-forge
reproc
14.2.4.post0
hd590300_1
conda-forge
reproc-cpp
14.2.4.post0
h59595ed_1
conda-forge
requests
2.25.1
pypi_0
pypi
requests-oauthlib
2.0.0
pyhd8ed1ab_0
conda-forge
requests-toolbelt
1.0.0
pyhd8ed1ab_0
conda-forge
rhash
1.4.5
hb9d3cd8_0
conda-forge
rsa
4.7.2
pyh44b312d_0
conda-forge
ruamel_yaml
0.15.100
py39h27cfd23_0
pkgs/main
s2n
1.3.49
h06160fa_0
conda-forge
s3fs
2024.10.0
pyhd8ed1ab_0
conda-forge
s3transfer
0.10.4
pyhd8ed1ab_0
conda-forge
sacremoses
0.0.53
pyhd8ed1ab_0
conda-forge
safetensors
0.4.5
pypi_0
pypi
scanpy
1.10.3
pyhd8ed1ab_0
conda-forge
scikit-image
0.19.3
py39h4661b88_2
conda-forge
scikit-learn
1.5.2
py39h4b7350c_1
conda-forge
scipy
1.13.1
py39haf93ffa_0
conda-forge
seaborn
0.13.2
hd8ed1ab_2
conda-forge
seaborn-base
0.13.2
pyhd8ed1ab_2
conda-forge
sentence-transformers
2.7.0
pyhd8ed1ab_0
conda-forge
sentencepiece
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hf3d152e_0
conda-forge
sentencepiece-python
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py39h82b6bb0_0
conda-forge
sentencepiece-spm
0.1.99
h180e1df_0
conda-forge
session-info
1.0.0
pyhd8ed1ab_0
conda-forge
setuptools
52.0.0
py39h06a4308_0
pkgs/main
shapely
2.0.6
py39hca88cd1_2
conda-forge
simdjson
3.10.1
h84d6215_0
conda-forge
simpleitk
2.4.0
py39hcd839a5_1
conda-forge
sip
6.7.12
py39h3d6467e_0
conda-forge
six
1.16.0
pyhd3eb1b0_0
pkgs/main
sleef
3.7
h1b44611_2
conda-forge
smart-open
7.0.5
pypi_0
pypi
snappy
1.1.10
hdb0a2a9_1
conda-forge
sniffio
1.3.1
pyhd8ed1ab_0
conda-forge
snowflake-connector-python
3.12.2
py39h3b40f6f_1
conda-forge
somacore
1.0.20
pyh4471522_0
tiledb
sortedcontainers
2.4.0
pyhd8ed1ab_0
conda-forge
soupsieve
2.5
pyhd8ed1ab_1
conda-forge
sparse
0.15.4
pypi_0
pypi
spdlog
1.11.0
h9b3ece8_1
conda-forge
sqlalchemy
2.0.36
py39h8cd3c5a_0
conda-forge
sqlite
3.46.1
h9eae976_0
conda-forge
statsmodels
0.14.4
py39hf3d9206_0
conda-forge
stdlib-list
0.11.0
pyhd8ed1ab_0
conda-forge
sympy
1.13.3
pyh2585a3b_104
conda-forge
tbb
2021.13.0
h84d6215_0
conda-forge
tblib
1.7.0
pypi_0
pypi
tdbudf
0.0.1
pypi_0
pypi
tenacity
8.5.0
pyhd8ed1ab_0
conda-forge
tensorboard
2.15.2
pyhd8ed1ab_0
conda-forge
tensorboard-data-server
0.7.0
py39h7170ec2_2
conda-forge
tensorflow
2.15.0
cpu_py39h433cda9_0
conda-forge
tensorflow-base
2.15.0
cpu_py39h65ed569_0
conda-forge
tensorflow-datasets
4.8.3
pyhd8ed1ab_0
conda-forge
tensorflow-estimator
2.15.0
cpu_py39hd56b5fd_0
conda-forge
tensorflow-metadata
1.13.1
pyhd8ed1ab_0
conda-forge
termcolor
2.5.0
pyhd8ed1ab_0
conda-forge
threadloop
1.0.2
pypi_0
pypi
threadpoolctl
3.5.0
pyhc1e730c_0
conda-forge
thrift
0.21.0
pypi_0
pypi
tifffile
2020.6.3
py_0
conda-forge
tiktoken
0.5.2
py39h1e49f91_0
conda-forge
tiledb
2.26.2
hde83565_0
tiledb/label/for-cloud
tiledb-cloud
0.12.31
pypi_0
pypi
tiledb-ml
0.9.6
pypi_0
pypi
tiledb-py
0.32.2
py39h067de0a_0
conda-forge
tiledb-vector-search
0.10.0
py39h70ae80f_0
tiledb
tiledbsoma-py
1.15.0rc1
py39ha4d1bf2_0
tiledb/label/rc
tiledbvcf-py
0.35.0
py39hb8eef30_0
tiledb
tk
8.6.13
noxft_h4845f30_101
conda-forge
tokenizers
0.20.3
py39he41eae5_0
conda-forge
toml
0.10.2
pyhd8ed1ab_0
conda-forge
tomli
2.1.0
pyhff2d567_0
conda-forge
tomlkit
0.13.2
pyha770c72_0
conda-forge
toolz
1.0.0
pyhd8ed1ab_0
conda-forge
torchdata
0.6.1
py39h19087ae_0
conda-forge
torchvision
0.15.2
cpu_py39h7f5b5c8_4
conda-forge
tornado
6.4.1
py39h8cd3c5a_1
conda-forge
tqdm
4.61.2
pyhd3eb1b0_1
pkgs/main
transformers
4.46.3
pypi_0
pypi
typing-extensions
4.12.2
hd8ed1ab_0
conda-forge
typing_extensions
4.12.2
pyha770c72_0
conda-forge
typing_inspect
0.9.0
pyhd8ed1ab_0
conda-forge
tzdata
2021a
h52ac0ba_0
pkgs/main
ucx
1.14.1
h64cca9d_5
conda-forge
umap-learn
0.5.7
py39hf3d152e_0
conda-forge
unicodedata2
15.1.0
py39h8cd3c5a_1
conda-forge
urllib3
1.26.6
pyhd3eb1b0_1
pkgs/main
werkzeug
3.1.3
pyhff2d567_0
conda-forge
wheel
0.36.2
pyhd3eb1b0_0
pkgs/main
wrapt
1.14.1
py39hb9d737c_1
conda-forge
xarray
2024.3.0
pyhd8ed1ab_0
conda-forge
xcb-util
0.4.0
hd590300_1
conda-forge
xcb-util-image
0.4.0
h8ee46fc_1
conda-forge
xcb-util-keysyms
0.4.0
h8ee46fc_1
conda-forge
xcb-util-renderutil
0.3.9
hd590300_1
conda-forge
xcb-util-wm
0.4.1
h8ee46fc_1
conda-forge
xkeyboard-config
2.42
h4ab18f5_0
conda-forge
xopen
2.0.2
pypi_0
pypi
xorg-kbproto
1.0.7
hb9d3cd8_1003
conda-forge
xorg-libice
1.1.1
hb9d3cd8_1
conda-forge
xorg-libsm
1.2.4
he73a12e_1
conda-forge
xorg-libx11
1.8.9
h8ee46fc_0
conda-forge
xorg-libxau
1.0.11
hb9d3cd8_1
conda-forge
xorg-libxdmcp
1.1.5
hb9d3cd8_0
conda-forge
xorg-libxext
1.3.4
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conda-forge
xorg-libxrender
0.9.11
hd590300_0
conda-forge
xorg-renderproto
0.11.1
hb9d3cd8_1003
conda-forge
xorg-xextproto
7.3.0
hb9d3cd8_1004
conda-forge
xorg-xf86vidmodeproto
2.3.1
hb9d3cd8_1005
conda-forge
xorg-xproto
7.0.31
hb9d3cd8_1008
conda-forge
xz
5.2.6
h166bdaf_0
conda-forge
yaml
0.2.5
h7b6447c_0
pkgs/main
yaml-cpp
0.7.0
h59595ed_3
conda-forge
yarl
1.17.2
py39h8cd3c5a_0
conda-forge
zipp
3.21.0
pyhd8ed1ab_0
conda-forge
zlib
1.3.1
h4ab18f5_1
conda-forge
zlib-ng
0.5.1
pypi_0
pypi
zstd
1.5.6
ha6fb4c9_0
conda-forge
R version 4.4.2 (2024-10-31)
Dependencies
cellxgene.census
1.16.1
tiledb
0.30.1
tiledbcloud
0.0.11
tiledbinotify
0.0.4
tiledbsoma
1.14.2
tiledbudf
0.0.3
abind
1.4-8
alabaster.base
1.6.0
alabaster.matrix
1.6.0
alabaster.ranges
1.6.0
alabaster.sce
1.6.0
alabaster.schemas
1.6.0
alabaster.se
1.6.0
anndata
0.7.5.6
annotate
1.84.0
AnnotationDbi
1.68.0
AnnotationFilter
1.30.0
AnnotationHub
3.14.0
ape
5.8
aplot
0.2.3
arrow
17.0.0.1
askpass
1.2.1
assertthat
0.2.1
assorthead
1.0.0
aws.s3
0.3.21
aws.signature
0.6.0
babelgene
22.9
backports
1.5.0
base64enc
0.1-3
basilisk
1.18.0
basilisk.utils
1.18.0
batchelor
1.22.0
bbmle
1.0.25.1
bdsmatrix
1.3-7
beachmat
2.22.0
beeswarm
0.4.0
BH
1.84.0-0
Biobase
2.66.0
BiocFileCache
2.14.0
BiocGenerics
0.52.0
BiocIO
1.16.0
BiocManager
1.30.25
BiocNeighbors
2.0.0
BiocParallel
1.40.0
BiocSingular
1.22.0
BiocVersion
3.20.0
Biostrings
2.74.0
bit
4.5.0
bit64
4.5.2
bitops
1.0-9
blob
1.2.4
bluster
1.16.0
boot
1.3-31
bslib
0.8.0
bspm
0.5.7
cachem
1.1.0
Cairo
1.6-2
callr
3.7.6
caTools
1.18.3
celda
1.22.0
celldex
1.16.0
checkmate
2.3.2
circlize
0.4.16
class
7.3-22
cli
3.6.3
clue
0.3-66
cluster
2.1.6
codetools
0.2-20
colorspace
2.1-1
colourpicker
1.3.0
combinat
0.0-8
commonmark
1.9.2
ComplexHeatmap
2.22.0
cowplot
1.1.3
cpp11
0.5.0
crayon
1.5.3
crosstalk
1.2.1
curl
6.0.1
cvTools
0.3.3
data.table
1.16.2
DBI
1.2.3
dbplyr
2.5.0
dbscan
1.2-0
DelayedArray
0.32.0
DelayedMatrixStats
1.28.0
deldir
2.0-4
densEstBayes
1.0-2.2
DEoptimR
1.1-3
desc
1.4.3
DESeq2
1.46.0
digest
0.6.37
dir.expiry
1.14.0
distr
2.9.5
distributional
0.5.0
docopt
0.7.1
doParallel
1.0.17
dotCall64
1.2
dplyr
1.1.4
dqrng
0.4.1
DropletUtils
1.26.0
DT
0.33
edgeR
4.4.0
eds
1.8.0
enrichR
3.2
ensembldb
2.30.0
evaluate
1.0.1
ExperimentHub
2.14.0
fansi
1.0.6
farver
2.1.2
fastDummies
1.7.4
fastICA
1.2-5.1
fastmap
1.2.0
fastmatch
1.1-4
fields
16.3
filelock
1.0.3
fitdistrplus
1.2-1
FNN
1.1.4.1
fontawesome
0.5.3
foreach
1.5.2
foreign
0.8-87
formatR
1.14
Formula
1.2-5
fs
1.6.5
futile.logger
1.4.3
futile.options
1.0.1
future
1.34.0
future.apply
1.11.3
genefilter
1.88.0
generics
0.1.3
GenomeInfoDb
1.42.0
GenomeInfoDbData
1.2.13
GenomicAlignments
1.42.0
GenomicFeatures
1.58.0
GenomicRanges
1.58.0
GetoptLong
1.0.5
ggbeeswarm
0.7.2
ggfun
0.1.7
ggplot2
3.5.1
ggplotify
0.1.2
ggrastr
1.0.2
ggrepel
0.9.6
ggridges
0.5.6
ggtree
3.14.0
GlobalOptions
0.1.2
globals
0.16.3
glue
1.8.0
goftest
1.2-3
gplots
3.2.0
graph
1.84.0
gridExtra
2.3
gridGraphics
0.5-1
GSEABase
1.68.0
GSVA
2.0.0
GSVAdata
1.42.0
gtable
0.3.6
gtools
3.9.5
gypsum
1.2.0
HDF5Array
1.34.0
here
1.0.1
hgu95a.db
3.13.0
highr
0.11
Hmisc
5.2-0
hms
1.1.3
htmlTable
2.4.3
htmltools
0.5.8.1
htmlwidgets
1.6.4
httpuv
1.6.15
httr
1.4.7
httr2
1.0.6
ica
1.0-3
igraph
2.1.1
inline
0.3.20
IRanges
2.40.0
irlba
2.3.5.1
isoband
0.2.7
iterators
1.0.14
jquerylib
0.1.4
jsonlite
1.8.9
jsonvalidate
1.3.2
KEGGREST
1.46.0
KernSmooth
2.23-24
knitr
1.49
labeling
0.4.3
lambda.r
1.2.4
later
1.3.2
lattice
0.22-6
lazyeval
0.2.2
leiden
0.4.3.1
lifecycle
1.0.4
limma
3.62.1
listenv
0.9.1
littler
0.3.19
lmtest
0.9-40
locfit
1.5-9.10
loo
2.8.0
M3Drop
1.32.0
magick
2.8.5
magrittr
2.0.3
maps
3.4.2.1
MASS
7.3-61
MAST
1.32.0
mathjaxr
1.6-0
Matrix
1.7-1
MatrixGenerics
1.18.0
MatrixModels
0.5-3
matrixStats
1.4.1
mclust
6.1.1
MCMCprecision
0.4.0
memoise
2.0.1
metap
1.11
metapod
1.14.0
mgcv
1.9-1
mime
0.12
miniUI
0.1.1.1
mmap
0.6-22
mnormt
2.1.1
msigdbr
7.5.1
multcomp
1.4-26
multtest
2.62.0
munsell
0.5.1
mutoss
0.1-13
mvtnorm
1.3-2
nanoarrow
0.6.0
nanotime
0.3.10
nlme
3.1-166
nnet
7.3-19
numDeriv
2016.8-1.1
openssl
2.2.2
org.Hs.eg.db
3.20.0
parallelly
1.39.0
patchwork
1.3.0
pbapply
1.7-2
pheatmap
1.0.12
pillar
1.9.0
pkgbuild
1.4.5
pkgconfig
2.0.3
plogr
0.2.0
plotly
4.10.4
plotrix
3.8-4
plyr
1.8.9
png
0.1-8
polyclip
1.10-7
posterior
1.6.0
prettyunits
1.2.0
pROC
1.18.5
processx
3.8.4
progress
1.2.3
progressr
0.15.0
promises
1.3.0
ProtGenerics
1.38.0
proxyC
0.4.1
ps
1.8.1
purrr
1.0.2
qqconf
1.3.2
quantreg
5.99
QuickJSR
1.4.0
R.methodsS3
1.8.2
R.oo
1.27.0
R.utils
2.12.3
R6
2.5.1
ragg
1.3.3
RANN
2.6.2
rappdirs
0.3.3
rbibutils
2.3
RColorBrewer
1.1-3
Rcpp
1.0.13-1
RcppAnnoy
0.0.22
RcppArmadillo
14.2.0-1
RcppCCTZ
0.2.12
RcppDate
0.0.4
RcppEigen
0.3.4.0.2
RcppHNSW
0.6.0
RcppInt64
0.0.5
RcppML
0.3.7
RcppParallel
5.1.9
RcppProgress
0.4.2
RcppRoll
0.3.1
RcppSpdlog
0.0.19
RcppTOML
0.2.2
RCurl
1.98-1.16
Rdpack
2.6.2
reldist
1.7-2
remotes
2.5.0
reshape2
1.4.4
ResidualMatrix
1.16.0
restfulr
0.0.15
reticulate
1.40.0
rhdf5
2.50.0
rhdf5filters
1.18.0
Rhdf5lib
1.28.0
Rhtslib
3.2.0
rjson
0.2.23
rlang
1.1.4
rmarkdown
2.29
robustbase
0.99-4-1
ROCR
1.0-11
rpart
4.1.23
rprojroot
2.0.4
Rsamtools
2.22.0
RSpectra
0.16-2
RSQLite
2.3.8
rstan
2.32.6
rstantools
2.4.0
rstudioapi
0.17.1
rsvd
1.0.5
rtracklayer
1.66.0
Rtsne
0.17
ruv
0.9.7.1
S4Arrays
1.6.0
S4Vectors
0.44.0
sandwich
3.1-1
sass
0.4.9
ScaledMatrix
1.14.0
scales
1.3.0
scater
1.34.0
scattermore
1.2
scDblFinder
1.20.0
scds
1.22.0
scMerge
1.22.0
scran
1.34.0
scRNAseq
2.20.0
sctransform
0.4.1
scuttle
1.16.0
Seurat
5.1.0
SeuratObject
5.0.2
sfsmisc
1.1-20
shape
1.4.6.1
shiny
1.9.1
shinyalert
3.1.0
shinycssloaders
1.1.0
shinyjs
2.1.0
Signac
1.14.0
SingleCellExperiment
1.28.0
singleCellTK
2.16.0
SingleR
2.8.0
sitmo
2.0.2
sn
2.1.1
snow
0.4-4
softImpute
1.4-1
SoupX
1.6.2
sourcetools
0.1.7-1
sp
2.1-4
spam
2.11-0
SparseArray
1.6.0
SparseM
1.84-2
sparseMatrixStats
1.18.0
spatial
7.3-17
SpatialExperiment
1.16.0
spatstat.data
3.1-4
spatstat.explore
3.3-3
spatstat.geom
3.3-4
spatstat.random
3.3-2
spatstat.sparse
3.1-0
spatstat.univar
3.1-1
spatstat.utils
3.1-1
spdl
0.0.5
StanHeaders
2.32.10
startupmsg
0.9.7
statmod
1.5.0
stringi
1.8.4
stringr
1.5.1
SummarizedExperiment
1.36.0
survival
3.7-0
sva
3.54.0
sys
3.4.3
systemfonts
1.1.0
tensor
1.5
tensorA
0.36.2.1
TENxPBMCData
1.24.0
textshaping
0.4.0
TFisher
0.2.0
TH.data
1.1-2
tibble
3.2.1
tidyr
1.3.1
tidyselect
1.2.1
tidytree
0.4.6
tinytex
0.54
TrajectoryUtils
1.14.0
treeio
1.30.0
triebeard
0.4.1
TSCAN
1.44.0
tximport
1.34.0
UCSC.utils
1.2.0
urltools
1.7.3
utf8
1.2.4
uuid
1.2-1
uwot
0.2.2
V8
6.0.0
VAM
1.1.0
vctrs
0.6.5
vipor
0.4.7
viridis
0.6.5
viridisLite
0.4.2
withr
3.0.2
WriteXLS
6.7.0
xfun
0.49
xgboost
1.7.8.1
XML
3.99-0.17
xml2
1.3.6
xtable
1.8-4
XVector
0.46.0
yaml
2.3.10
yulab.utils
0.1.8
zellkonverter
1.16.0
zinbwave
1.28.0
zlibbioc
1.52.0
zoo
1.8-12
base
4.4.2
compiler
4.4.2
datasets
4.4.2
graphics
4.4.2
grDevices
4.4.2
grid
4.4.2
methods
4.4.2
parallel
4.4.2
splines
4.4.2
stats
4.4.2
stats4
4.4.2
tcltk
4.4.2
tools
4.4.2
utils
4.4.2