Runtimes

In Anaconda Notebooks, a runtime is what powers your code execution. You can think of a runtime as a conda environment connected to a language-specific kernel. Anaconda Notebooks provides several pre-configured runtimes that include the ipykernel package and all the packages from the latest Anaconda Distribution release, giving you immediate access to a comprehensive data science toolkit.

Environments, kernels, and runtimes

What is an environment?

An environment is a folder or directory that contains a specific collection of conda packages and their dependencies.

Working in separate environments allows you to maintain and run packages without interference from other collections of packages. For example, you may require separate conda environments to maintain distinct versions of Python based on distinct package dependencies.

What is a kernel?

A kernel is a programming-language-specific process that interprets your code, runs it, and gives you the results. In Jupyter Notebooks, kernels allow users to run code in cells and receive immediate output. For example, ipykernel enables interactive computing in Python.

What is a runtime?

A runtime in Anaconda Notebooks is a conda environment that has been associated with a specific kernel, enabling it to execute code. For an environment to be usable in JupyterLab, it must contain a kernel package (such as ipykernel for Python). Without this kernel association, JupyterLab cannot recognize the environment as an available option for running notebooks.

The default runtimes provided in Anaconda Notebooks come with the ipykernel package already installed, making them immediately available for your Python notebooks.

To add a kernel package to a custom environment and create your own runtime, see creating custom runtimes.

Using default runtimes

Custom runtimes often use large amounts of your limited Anaconda Notebooks storage space. Because of this, Anaconda provides a number of read-only default runtimes that contain all the packages from the latest release of Anaconda Distribution.

The default runtime naming convention is typically anaconda-<YEAR>.<MONTH>-py<PYTHON_VERSION>, which maps to Anaconda Distribution releases:

Environment Name	Status	Description
anaconda-2024.02-py10	Live	Latest Anaconda Packages (stable & recommended)
anaconda-ai-2024.04-py10	Live	Latest Anaconda Packages + AI Packages
anaconda-01-nvidia-a10	Live	Latest Anaconda, AI, + NVIDIA Packages (see GPU Runtimes)

Packages included in anaconda-2024.02-py10

Package Name	Package Version
_anaconda_depends	2024.02
_libgcc_mutex	0.1
_openmp_mutex	5.1
abseil-cpp	20211102
aiobotocore	2.7.0
aiohttp	3.9.3
aioitertools	0.7.1
aiosignal	1.2.0
alabaster	0.7.12
altair	5.0.1
anaconda-catalogs	0.2.0
anyio	4.2.0
aom	3.6.0
appdirs	1.4.4
argon2-cffi	21.3.0
argon2-cffi-bindings	21.2.0
arrow	1.2.3
arrow-cpp	14.0.2
astroid	2.14.2
astropy	5.3.4
asttokens	2.0.5
async-lru	2.0.4
async-timeout	4.0.3
atomicwrites	1.4.0
attrs	23.1.0
automat	20.2.0
autopep8	2.0.4
aws-c-auth	0.6.19
aws-c-cal	0.5.20
aws-c-common	0.8.5
aws-c-compression	0.2.16
aws-c-event-stream	0.2.15
aws-c-http	0.6.25
aws-c-io	0.13.10
aws-c-mqtt	0.7.13
aws-c-s3	0.1.51
aws-c-sdkutils	0.1.6
aws-checksums	0.1.13
aws-crt-cpp	0.18.16
aws-sdk-cpp	1.10.55
babel	2.11.0
bcrypt	3.2.0
beautifulsoup4	4.12.2
binaryornot	0.4.4
black	24.3.0
blas	1
bleach	4.1.0
blinker	1.6.2
blosc	1.21.3
bokeh	3.4.0
boost-cpp	1.82.0
botocore	1.31.64
bottleneck	1.3.7
brotli	1.0.9
brotli-bin	1.0.9
brotli-python	1.0.9
brunsli	0.1
bzip2	1.0.8
c-ares	1.19.1
c-blosc2	2.12.0
ca-certificates	2024.3.11
cachetools	4.2.2
certifi	2024.2.2
cffi	1.16.0
cfgv	3.4.0
cfitsio	3.47
chardet	4.0.0
charls	2.2.0
charset-normalizer	2.0.4
click	8.1.7
cloudpickle	2.2.1
colorama	0.4.6
colorcet	3.1.0
comm	0.2.1
constantly	23.10.4
contourpy	1.2.0
cookiecutter	2.6.0
cryptography	42.0.5
cssselect	1.2.0
curl	8.5.0
cycler	0.11.0
cyrus-sasl	2.1.28
cytoolz	0.12.2
dask	2023.11.0
dask-core	2023.11.0
datashader	0.16.0
dav1d	1.2.1
dbus	1.13.18
debugpy	1.6.7
decorator	5.1.1
defusedxml	0.7.1
diff-match-patch	20200713
dill	0.3.7
distlib	0.3.6
distributed	2023.11.0
docstring-to-markdown	0.11
docutils	0.18.1
entrypoints	0.4
et_xmlfile	1.1.0
exceptiongroup	1.2.0
executing	0.8.3
expat	2.5.0
filelock	3.13.1
flake8	6.0.0
flask	2.2.5
fontconfig	2.14.1
fonttools	4.25.0
freetype	2.12.1
frozenlist	1.4.0
fsspec	2023.10.0
gensim	4.3.0
gflags	2.2.2
giflib	5.2.1
gitdb	4.0.7
gitpython	3.1.37
glib	2.78.4
glib-tools	2.78.4
glog	0.5.0
gmp	6.2.1
gmpy2	2.1.2
greenlet	3.0.1
grpc-cpp	1.48.2
gst-plugins-base	1.14.1
gstreamer	1.14.1
h5py	3.9.0
hdf5	1.12.1
heapdict	1.0.1
holoviews	1.18.3
hvplot	0.9.2
hyperlink	21.0.0
icu	73.1
identify	2.5.5
idna	3.4
imagecodecs	2023.1.23
imageio	2.33.1
imagesize	1.4.1
imbalanced-learn	0.11.0
importlib-metadata	7.0.1
importlib_metadata	7.0.1
incremental	22.10.0
inflection	0.5.1
iniconfig	1.1.1
intake	0.6.8
intel-openmp	2023.1.0
intervaltree	3.1.0
ipykernel	6.28.0
ipython	8.20.0
ipython_genutils	0.2.0
ipywidgets	8.1.2
isort	5.9.3
itemadapter	0.3.0
itemloaders	1.1.0
itsdangerous	2.0.1
jaraco.classes	3.2.1
jedi	0.18.1
jeepney	0.7.1
jellyfish	1.0.1
jinja2	3.1.3
jmespath	1.0.1
joblib	1.2.0
jpeg	9e
jq	1.6
json5	0.9.6
jsonschema	4.19.2
jsonschema-specifications	2023.7.1
jupyter	1.0.0
jupyter-lsp	2.2.0
jupyter_client	8.6.0
jupyter_console	6.6.3
jupyter_core	5.5.0
jupyter_events	0.8.0
jupyter_server	2.10.0
jupyter_server_terminals	0.4.4
jupyterlab	4.0.11
jupyterlab-variableinspect	or 3.1.0
jupyterlab_pygments	0.1.2
jupyterlab_server	2.25.1
jupyterlab_widgets	3.0.10
jxrlib	1.1
keyring	24.3.1
kiwisolver	1.4.4
krb5	1.20.1
lazy-object-proxy	1.6.0
lazy_loader	0.3
lcms2	2.12
ld_impl_linux-64	2.38
lerc	3
libaec	1.0.4
libavif	0.11.1
libboost	1.82.0
libbrotlicommon	1.0.9
libbrotlidec	1.0.9
libbrotlienc	1.0.9
libclang	14.0.6
libclang13	14.0.6
libcups	2.4.2
libcurl	8.5.0
libdeflate	1.17
libedit	3.1.20230828
libev	4.33
libevent	2.1.12
libffi	3.4.4
libgcc-ng	11.2.0
libgfortran-ng	11.2.0
libgfortran5	11.2.0
libglib	2.78.4
libgomp	11.2.0
libiconv	1.16
libllvm14	14.0.6
libnghttp2	1.57.0
libpng	1.6.39
libpq	12.17
libprotobuf	3.20.3
libsodium	1.0.18
libspatialindex	1.9.3
libssh2	1.10.0
libstdcxx-ng	11.2.0
libthrift	0.15.0
libtiff	4.5.1
libuuid	1.41.5
libwebp-base	1.3.2
libxcb	1.15
libxkbcommon	1.0.1
libxml2	2.10.4
libxslt	1.1.37
libzopfli	1.0.3
linkify-it-py	2.0.0
llvmlite	0.42.0
locket	1.0.0
lxml	4.9.3
lz4	4.3.2
lz4-c	1.9.4
lzo	2.1
markdown	3.4.1
markdown-it-py	2.2.0
markupsafe	2.1.3
matplotlib	3.8.0
matplotlib-base	3.8.0
matplotlib-inline	0.1.6
mccabe	0.7.0
mdit-py-plugins	0.3.0
mdurl	0.1.0
mistune	2.0.4
mkl	2023.1.0
mkl-service	2.4.0
mkl_fft	1.3.8
mkl_random	1.2.4
more-itertools	10.1.0
mpc	1.1.0
mpfr	4.0.2
mpmath	1.3.0
msgpack-python	1.0.3
multidict	6.0.4
multipledispatch	0.6.0
munkres	1.1.4
mypy	1.8.0
mypy_extensions	1.0.0
mysql	5.7.24
nbclient	0.8.0
nbconvert	7.10.0
nbformat	5.9.2
ncurses	6.4
nest-asyncio	1.6.0
networkx	3.1
nltk	3.8.1
nodeenv	1.7.0
notebook	7.0.8
notebook-shim	0.2.3
nspr	4.35
nss	3.89.1
numba	0.59.1
numexpr	2.8.7
numpy	1.26.4
numpy-base	1.26.4
numpydoc	1.5.0
oniguruma	6.9.7.1
openjpeg	2.4.0
openpyxl	3.0.10
openssl	3.0.13
orc	1.7.4
overrides	7.4.0
packaging	23.2
pandas	2.1.4
pandocfilters	1.5.0
panel	1.4.1
param	2.1.0
parsel	1.8.1
parso	0.8.3
partd	1.4.1
pathspec	0.10.3
patsy	0.5.3
pcre2	10.42
pexpect	4.8.0
pickleshare	0.7.5
pillow	10.2.0
pip	23.3.1
platformdirs	2.5.2
plotly	5.19.0
pluggy	1.0.0
ply	3.11
pre-commit	3.4.0
prometheus_client	0.14.1
prompt-toolkit	3.0.43
prompt_toolkit	3.0.43
protego	0.1.16
protobuf	3.20.3
psutil	5.9.0
ptyprocess	0.7.0
pure_eval	0.2.2
py-cpuinfo	9.0.0
pyarrow	14.0.2
pyasn1	0.4.8
pyasn1-modules	0.2.8
pycodestyle	2.10.0
pycparser	2.21
pyct	0.5.0
pycurl	7.45.2
pydeck	0.7.1
pydispatcher	2.0.5
pydocstyle	6.3.0
pyerfa	2.0.0
pyflakes	3.0.1
pygments	2.15.1
pylint	2.16.2
pylint-venv	3.0.3
pyls-spyder	0.4.0
pympler	0.9
pyodbc	5.0.1
pyopenssl	24.0.0
pyparsing	3.0.9
pyqt	5.15.10
pyqt5-sip	12.13.0
pyqtwebengine	5.15.10
pysocks	1.7.1
pytables	3.9.2
pytest	7.4.0
python	3.10.14
python-dateutil	2.8.2
python-fastjsonschema	2.16.2
python-json-logger	2.0.7
python-lmdb	1.4.1
python-lsp-black	2.0.0
python-lsp-jsonrpc	1.1.2
python-lsp-server	1.7.2
python-slugify	5.0.2
python-snappy	0.6.1
python-tzdata	2023.3
pytoolconfig	1.2.6
pytz	2023.3.post1
pyviz_comms	3.0.2
pywavelets	1.5.0
pyxdg	0.27
pyyaml	6.0.1
pyzmq	25.1.2
qdarkstyle	3.0.2
qstylizer	0.2.2
qt-main	5.15.2
qt-webengine	5.15.9
qtawesome	1.2.2
qtconsole	5.4.2
qtpy	2.4.1
queuelib	1.6.2
re2	2022.04.01
readline	8.2
referencing	0.30.2
regex	2023.10.3
requests	2.31.0
requests-file	1.5.1
rfc3339-validator	0.1.4
rfc3986-validator	0.1.1
rich	13.3.5
rope	1.12.0
rpds-py	0.10.6
rtree	1.0.1
s2n	1.3.27
s3fs	2023.10.0
scikit-image	0.22.0
scikit-learn	1.3.0
scipy	1.12.0
scrapy	2.11.1
seaborn	0.12.2
secretstorage	3.3.1
semver	3.0.2
send2trash	1.8.2
service_identity	18.1.0
setuptools	68.2.2
sip	6.7.12
six	1.16.0
smart_open	5.2.1
smmap	4.0.0
snappy	1.1.10
sniffio	1.3.0
snowballstemmer	2.2.0
sortedcontainers	2.4.0
soupsieve	2.5
sphinx	5.0.2
sphinxcontrib-applehelp	1.0.2
sphinxcontrib-devhelp	1.0.2
sphinxcontrib-htmlhelp	2.0.0
sphinxcontrib-jsmath	1.0.1
sphinxcontrib-qthelp	1.0.3
sphinxcontrib-serializingh	tml 1.1.5
spyder	5.4.3
spyder-kernels	2.4.4
sqlalchemy	2.0.25
sqlite	3.41.2
stack_data	0.2.0
statsmodels	0.14.0
streamlit	1.16.0
sympy	1.12
tabulate	0.9.0
tbb	2021.8.0
tblib	1.7.0
tenacity	8.2.2
terminado	0.17.1
text-unidecode	1.3
textdistance	4.2.1
threadpoolctl	2.2.0
three-merge	0.1.1
tifffile	2023.4.12
tinycss2	1.2.1
tk	8.6.12
tldextract	3.2.0
toml	0.10.2
tomli	2.0.1
tomlkit	0.11.1
toolz	0.12.0
tornado	6.3.3
tqdm	4.65.0
traitlets	5.7.1
twisted	23.10.0
typing-extensions	4.9.0
typing_extensions	4.9.0
tzdata	2024a
tzlocal	2.1
uc-micro-py	1.0.1
ujson	5.4.0
ukkonen	1.0.1
unidecode	1.2.0
unixodbc	2.3.11
urllib3	2.0.7
utf8proc	2.6.1
validators	0.18.2
virtualenv	20.17.1
w3lib	2.1.2
watchdog	2.1.6
wcwidth	0.2.5
webencodings	0.5.1
websocket-client	0.58.0
werkzeug	2.2.3
whatthepatch	1.0.2
wheel	0.41.2
widgetsnbextension	4.0.10
wrapt	1.14.1
wurlitzer	3.0.2
xarray	2023.6.0
xyzservices	2022.9.0
xz	5.4.6
yaml	0.2.5
yapf	0.31.0
yarl	1.9.3
zeromq	4.3.5
zfp	1.0.0
zict	3.0.0
zipp	3.17.0
zlib	1.2.13
zlib-ng	2.0.7
zope	1
zope.interface	5.4.0
zstd	1.5.5

Packages included in anaconda-ai-2024.04-py10

Package Name	Package Version
_anaconda_depends	2024.02
_libgcc_mutex	0.1
_openmp_mutex	5.1
_py-xgboost-mutex	2
_tflow_select	2.3.0
abseil-cpp	20211102
absl-py	1.4.0
aiobotocore	2.7.0
aiohttp	3.9.3
aioitertools	0.7.1
aiosignal	1.2.0
alabaster	0.7.12
altair	5.0.1
anaconda-catalogs	0.2.0
annotated-types	0.6.0
anyio	4.2.0
aom	3.6.0
appdirs	1.4.4
argon2-cffi	21.3.0
argon2-cffi-bindings	21.2.0
arrow	1.2.3
arrow-cpp	11.0.0
astroid	2.14.2
astropy	5.3.4
asttokens	2.0.5
astunparse	1.6.3
async-lru	2.0.4
async-timeout	4.0.3
atomicwrites	1.4.0
attrs	23.1.0
automat	20.2.0
autopep8	2.0.4
aws-c-common	0.4.57
aws-c-event-stream	0.1.6
aws-checksums	0.1.9
aws-sdk-cpp	1.8.185
babel	2.11.0
backoff	2.2.1
bcrypt	4.1.2
beautifulsoup4	4.12.2
binaryornot	0.4.4
black	24.3.0
blas	1
bleach	4.1.0
blinker	1.6.2
blosc	1.21.3
bokeh	3.4.0
boost-cpp	1.73.0
botocore	1.31.64
bottleneck	1.3.7
brotli	1.0.9
brotli-bin	1.0.9
brotli-python	1.0.9
brunsli	0.1
bzip2	1.0.8
c-ares	1.19.1
c-blosc2	2.12.0
ca-certificates	2024.3.11
cachetools	4.2.2
cairo	1.16.0
catalogue	2.0.10
certifi	2024.2.2
cffi	1.16.0
cfgv	3.4.0
cfitsio	3.47
chardet	4.0.0
charls	2.2.0
charset-normalizer	2.0.4
chroma-hnswlib	0.7.3
chromadb	0.4.17
click	8.1.7
cloudpathlib	0.16.0
cloudpickle	2.2.1
colorama	0.4.6
colorcet	3.1.0
coloredlogs	15.0.1
comm	0.2.1
confection	0.1.4
constantly	23.10.4
contourpy	1.2.0
cookiecutter	2.6.0
cryptography	41.0.3
cssselect	1.2.0
ctransformers	0.2.27
curl	8.2.1
cycler	0.11.0
cymem	2.0.6
cyrus-sasl	2.1.28
cython-blis	0.7.9
cytoolz	0.12.2
dask	2023.11.0
dask-core	2023.11.0
dataclasses-json	0.6.4
datasets	2.12.0
datashader	0.16.0
dav1d	1.2.1
dbus	1.13.18
debugpy	1.6.7
decorator	5.1.1
defusedxml	0.7.1
deprecated	1.2.14
diff-match-patch	20200713
dill	0.3.6
dirtyjson	1.0.8
distlib	0.3.6
distributed	2023.11.0
distro	1.9.0
docstring-to-markdown	0.11
docutils	0.18.1
eigen	3.4.0
entrypoints	0.4
et_xmlfile	1.1.0
exceptiongroup	1.2.0
executing	0.8.3
expat	2.5.0
fastapi	0.110.1
ffmpeg	4.2.2
filelock	3.13.1
flake8	6.0.0
flask	2.2.5
flatbuffers	2.0.0
fontconfig	2.14.1
fonttools	4.25.0
freetype	2.12.1
frozenlist	1.4.0
fsspec	2023.10.0
gast	0.4.0
gensim	4.3.0
gflags	2.2.2
giflib	5.2.1
gitdb	4.0.7
gitpython	3.1.37
glib	2.78.4
glib-tools	2.78.4
glog	0.5.0
gmp	6.2.1
gmpy2	2.1.2
gnutls	3.6.15
google-auth	2.6.0
google-auth-oauthlib	0.4.4
google-pasta	0.2.0
googleapis-common-protos	1.63.0
graphite2	1.3.14
greenlet	3.0.1
grpc-cpp	1.46.1
grpcio	1.62.1
gst-plugins-base	1.14.1
gstreamer	1.14.1
h11	0.14.0
h5py	3.9.0
harfbuzz	4.3.0
hdf5	1.12.1
heapdict	1.0.1
holoviews	1.18.3
httpcore	1.0.2
httptools	0.6.1
httpx	0.26.0
huggingface_accelerate	0.21.0
huggingface_hub	0.20.3
humanfriendly	10
hvplot	0.9.2
hyperlink	21.0.0
icu	58.2
identify	2.5.5
idna	3.4
imagecodecs	2023.1.23
imageio	2.33.1
imagesize	1.4.1
imbalanced-learn	0.11.0
importlib-metadata	7.0.1
importlib-resources	6.4.0
importlib_metadata	7.0.1
incremental	22.10.0
inflection	0.5.1
iniconfig	1.1.1
intake	0.6.8
intel-openmp	2023.1.0
intervaltree	3.1.0
ipykernel	6.28.0
ipython	8.20.0
ipython_genutils	0.2.0
ipywidgets	8.1.2
isort	5.9.3
itemadapter	0.3.0
itemloaders	1.1.0
itsdangerous	2.0.1
jaraco.classes	3.2.1
jedi	0.18.1
jeepney	0.7.1
jellyfish	1.0.1
jinja2	3.1.3
jmespath	1.0.1
joblib	1.2.0
jpeg	9e
jq	1.6
json5	0.9.6
jsonpatch	1.33
jsonpointer	2.4
jsonschema	4.19.2
jsonschema-specifications	2023.7.1
jupyter	1.0.0
jupyter-lsp	2.2.0
jupyter_client	8.6.0
jupyter_console	6.6.3
jupyter_core	5.5.0
jupyter_events	0.8.0
jupyter_server	2.10.0
jupyter_server_terminals	0.4.4
jupyterlab	4.0.11
jupyterlab-variableinspect	or 3.1.0
jupyterlab_pygments	0.1.2
jupyterlab_server	2.25.1
jupyterlab_widgets	3.0.10
jxrlib	1.1
keras	2.11.0
keras-preprocessing	1.1.2
keyring	24.3.1
kiwisolver	1.4.4
krb5	1.20.1
kubernetes	29.0.0
lame	3.1
langchain	0.1.16
langchain-community	0.0.32
langchain-core	0.1.42
langchain-text-splitters	0.0.1
langcodes	3.3.0
langsmith	0.1.45
lazy-object-proxy	1.6.0
lazy_loader	0.3
lcms2	2.12
ld_impl_linux-64	2.38
lerc	3
libaec	1.0.4
libavif	0.11.1
libboost	1.73.0
libbrotlicommon	1.0.9
libbrotlidec	1.0.9
libbrotlienc	1.0.9
libclang	14.0.6
libclang13	14.0.6
libcups	2.4.2
libcurl	8.2.1
libdeflate	1.17
libedit	3.1.20230828
libev	4.33
libevent	2.1.12
libffi	3.4.4
libgcc-ng	11.2.0
libgfortran-ng	11.2.0
libgfortran5	11.2.0
libglib	2.78.4
libgomp	11.2.0
libiconv	1.16
libidn2	2.3.4
libllvm14	14.0.6
libnghttp2	1.52.0
libopenblas	0.3.21
libopus	1.3.1
libpng	1.6.39
libpq	12.15
libprotobuf	3.20.3
libsodium	1.0.18
libspatialindex	1.9.3
libssh2	1.10.0
libstdcxx-ng	11.2.0
libtasn1	4.19.0
libthrift	0.15.0
libtiff	4.5.1
libunistring	0.9.10
libuuid	1.41.5
libvpx	1.7.0
libwebp	1.3.2
libwebp-base	1.3.2
libxcb	1.15
libxgboost	1.7.6
libxkbcommon	1.0.1
libxml2	2.10.4
libxslt	1.1.37
libzopfli	1.0.3
linkify-it-py	2.0.0
llama-index	0.9.48
llvmlite	0.42.0
locket	1.0.0
lxml	4.9.3
lz4	4.3.2
lz4-c	1.9.4
lzo	2.1
markdown	3.4.1
markdown-it-py	2.2.0
markupsafe	2.1.3
marshmallow	3.21.1
matplotlib	3.8.0
matplotlib-base	3.8.0
matplotlib-inline	0.1.6
mccabe	0.7.0
mdit-py-plugins	0.3.0
mdurl	0.1.0
mistune	2.0.4
mkl	2023.1.0
monotonic	1.6
more-itertools	10.1.0
mpc	1.1.0
mpfr	4.0.2
mpmath	1.3.0
msgpack-python	1.0.3
multidict	6.0.4
multipledispatch	0.6.0
multiprocess	0.70.14
munkres	1.1.4
murmurhash	1.0.7
mypy	1.8.0
mypy_extensions	1.0.0
mysql	5.7.24
nbclient	0.8.0
nbconvert	7.10.0
nbformat	5.9.2
ncurses	6.4
nest-asyncio	1.6.0
nettle	3.7.3
networkx	3.1
ninja	1.10.2
ninja-base	1.10.2
nltk	3.8.1
nodeenv	1.7.0
notebook	7.0.8
notebook-shim	0.2.3
nspr	4.35
nss	3.89.1
numba	0.59.1
numexpr	2.8.7
numpy	1.26.4
numpy-base	1.26.4
numpydoc	1.5.0
oauthlib	3.2.2
oniguruma	6.9.7.1
onnxruntime	1.17.1
openai	1.17.0
opencv	4.6.0
openh264	2.1.1
openjpeg	2.4.0
openpyxl	3.0.10
openssl	1.1.1w
opentelemetry-api	1.16.0
opentelemetry-exporter-otl	p-proto-grpc
opentelemetry-proto	1.16.0
opentelemetry-sdk	1.16.0
opentelemetry-semantic-con	ventions 0.37
opt_einsum	3.3.0
orc	1.7.4
orjson	3.10.0
overrides	7.4.0
packaging	23.2
pandas	2.1.4
pandocfilters	1.5.0
panel	1.4.1
param	2.1.0
parsel	1.8.1
parso	0.8.3
partd	1.4.1
pathspec	0.10.3
patsy	0.5.3
pcre2	10.42
pexpect	4.8.0
pickleshare	0.7.5
pillow	10.2.0
pip	23.3.1
pixman	0.40.0
platformdirs	2.5.2
plotly	5.19.0
pluggy	1.0.0
ply	3.11
posthog	3.5.0
pre-commit	3.4.0
preshed	3.0.6
prometheus_client	0.14.1
prompt-toolkit	3.0.43
prompt_toolkit	3.0.43
protego	0.1.16
protobuf	3.19.6
psutil	5.9.0
ptyprocess	0.7.0
pulsar-client	3.4.0
pure_eval	0.2.2
py-cpuinfo	9.0.0
py-xgboost	1.7.6
pyarrow	11.0.0
pyasn1	0.4.8
pyasn1-modules	0.2.8
pycodestyle	2.10.0
pycparser	2.21
pyct	0.5.0
pycurl	7.45.2
pydantic	2.5.3
pydantic-core	2.14.6
pydeck	0.7.1
pydispatcher	2.0.5
pydocstyle	6.3.0
pyerfa	2.0.0
pyflakes	3.0.1
pygments	2.15.1
pyjwt	2.4.0
pylint	2.16.2
pylint-venv	3.0.3
pyls-spyder	0.4.0
pympler	0.9
pyodbc	5.0.1
pyopenssl	23.2.0
pyparsing	3.0.9
pypdf	4.2.0
pypika	0.48.9
pyqt	5.15.10
pyqt5-sip	12.13.0
pyqtwebengine	5.15.10
pysocks	1.7.1
pytables	3.9.2
pytest	7.4.0
python	3.10.13
python-dateutil	2.8.2
python-dotenv	1.0.1
python-fastjsonschema	2.16.2
python-flatbuffers	2
python-json-logger	2.0.7
python-lmdb	1.4.1
python-lsp-black	2.0.0
python-lsp-jsonrpc	1.1.2
python-lsp-server	1.7.2
python-slugify	5.0.2
python-snappy	0.6.1
python-tzdata	2023.3
python-xxhash	2.0.2
pytoolconfig	1.2.6
pytorch	2.2.0
pytz	2023.3.post1
pyviz_comms	3.0.2
pywavelets	1.5.0
pyxdg	0.27
pyyaml	6.0.1
pyzmq	25.1.2
qdarkstyle	3.0.2
qstylizer	0.2.2
qt-main	5.15.2
qt-webengine	5.15.9
qtawesome	1.2.2
qtconsole	5.4.2
qtpy	2.4.1
qtwebkit	5.212
queuelib	1.6.2
re2	2022.04.01
readline	8.2
referencing	0.30.2
regex	2023.10.3
requests	2.31.0
requests-file	1.5.1
requests-oauthlib	1.3.0
responses	0.13.3
rfc3339-validator	0.1.4
rfc3986-validator	0.1.1
rich	13.3.5
rope	1.12.0
rpds-py	0.10.6
rsa	4.7.2
rtree	1.0.1
s3fs	2023.10.0
safetensors	0.4.2
scikit-image	0.22.0
scikit-learn	1.3.0
scipy	1.12.0
scrapy	2.11.1
seaborn	0.12.2
secretstorage	3.3.1
semver	3.0.2
send2trash	1.8.2
service_identity	18.1.0
setuptools	68.2.2
shellingham	1.5.0
sip	6.7.12
six	1.16.0
smart_open	5.2.1
smmap	4.0.0
snappy	1.1.10
sniffio	1.3.0
snowballstemmer	2.2.0
sortedcontainers	2.4.0
soupsieve	2.5
spacy	3.7.2
spacy-legacy	3.0.12
spacy-loggers	1.0.4
sphinx	5.0.2
sphinxcontrib-applehelp	1.0.2
sphinxcontrib-devhelp	1.0.2
sphinxcontrib-htmlhelp	2.0.0
sphinxcontrib-jsmath	1.0.1
sphinxcontrib-qthelp	1.0.3
sphinxcontrib-serializingh	tml 1.1.5
spyder	5.4.3
spyder-kernels	2.4.4
sqlalchemy	2.0.29
sqlite	3.41.2
srsly	2.4.8
stack_data	0.2.0
starlette	0.37.2
statsmodels	0.14.0
streamlit	1.16.0
sympy	1.12
tabulate	0.9.0
tbb	2021.8.0
tblib	1.7.0
tenacity	8.2.3
tensorboard	2.11.0
tensorboard-data-server	0.6.1
tensorboard-plugin-wit	1.8.1
tensorflow	2.11.0
tensorflow-base	2.11.0
tensorflow-estimator	2.11.0
termcolor	2.1.0
terminado	0.17.1
text-unidecode	1.3
textdistance	4.2.1
thinc	8.2.2
threadpoolctl	2.2.0
three-merge	0.1.1
tifffile	2023.4.12
tiktoken	0.6.0
tinycss2	1.2.1
tk	8.6.12
tldextract	3.2.0
tokenizers	0.13.2
toml	0.10.2
tomli	2.0.1
tomlkit	0.11.1
toolz	0.12.0
tornado	6.3.3
tqdm	4.65.0
traitlets	5.7.1
transformers	4.32.1
twisted	23.10.0
typer	0.9.0
typing-extensions	4.9.0
typing-inspect	0.9.0
typing_extensions	4.9.0
tzdata	2024a
tzlocal	2.1
uc-micro-py	1.0.1
ujson	5.4.0
ukkonen	1.0.1
unidecode	1.2.0
unixodbc	2.3.11
urllib3	2.0.7
utf8proc	2.6.1
uvicorn	0.29.0
uvloop	0.19.0
validators	0.18.2
virtualenv	20.17.1
w3lib	2.1.2
wasabi	0.9.1
watchdog	2.1.6
watchfiles	0.21.0
wcwidth	0.2.5
weasel	0.3.4
webencodings	0.5.1
websocket-client	0.58.0
websockets	12
werkzeug	2.2.3
whatthepatch	1.0.2
wheel	0.41.2
widgetsnbextension	4.0.10
wrapt	1.14.1
wurlitzer	3.0.2
x264	1!157.2019121
xarray	2023.6.0
xxhash	0.8.0
xyzservices	2022.9.0
xz	5.4.6
yaml	0.2.5
yapf	0.31.0
yarl	1.9.3
zeromq	4.3.5
zfp	1.0.0
zict	3.0.0
zipp	3.17.0
zlib	1.2.13
zlib-ng	2.0.7
zope	1
zope.interface	5.4.0
zstd	1.5.5

To see a list of available runtimes, enter the following in a notebook cell then click Run:

!conda info --envs

To see a list of packages in your current runtime, enter the following in a notebook cell then click Run:

!conda list

Creating custom runtimes

If you need a specific set of packages that are not included in one of our default runtimes, you can create your own runtime to customize to your needs.

Custom runtimes are stored using your dedicated, persistent Anaconda Notebooks cloud storage. This ensures the custom runtime remains available after your current session ends. Custom runtimes use your personal storage space and can easily get quite large, so only include the packages you need.

To create a new runtime:

1. Open a terminal from the Launcher, which you can access by selecting the blue plus in the top-left corner of the File Browser.

   

2. Create a new runtime by running the following command:

   # Replace <ENV_NAME> with a new name for your environment/ runtime
   # Replace <PACKAGE> with the name of a package you want to install in your environment
   conda create --name <ENV_NAME> <PACKAGE> ipykernel
   

   Adding ipykernel creates a Python runtime.

For more information about creating conda environments, see the official conda docs.

Creating a custom runtime from an environment.yml file

This feature is only available for the local version of Toolbox.

If you have an existing environment.yml file, you can create a custom runtime by uploading it to an Anaconda Toolbox project and installing it directly from there.

Uploading an environment.yml file

1. Launch Anaconda Notebooks and select the left-side Anaconda Toolbox icon.

2. Select Manage Projects.

3. Select actions beside the project where you want to add your environment.yml file, then select Upload.

4. Select the environment.yml file you want to create a custom runtime from. You can use any filename, but the file extension must be .yml.

   The dependencies list must include the ipykernel package.

   ---

   The environment.yml file must be in valid YAML format.

   ---

   If your environment.yml file includes a name: key, it will be removed during upload. You’ll name your environment during installation.

   See the official conda docs for more information on creating an environment.yml file.

5. Select Upload to Project.

See Anaconda Projects for more details on creating projects and uploading files.

Installing the custom runtime

1. Navigate to the project where you uploaded the environment.yml file.

2. Select Install beside the environment.yml filename.

   

3. In the modal that appears, choose a unique name for your environment, then select Install.

Once installation is complete, an Edit environment button appears beside the filename.

Selecting Edit environment lets you edit your environment with the Gator environment manager.

Follow the steps in Activating a runtime to activate your custom runtime.

If installation fails, select Copy error logs beside the filename to troubleshoot. The most common issue is missing the required ipykernel package in your dependencies list.

It might take a minute for your custom runtime to be created and available for use. You might need to close and reopen your active notebook or refresh the browser for your new runtime to appear.

Activating runtimes

There are a few locations from which you can activate a runtime:

Terminal

1. Open a terminal from the Launcher.

2. Run the following command:

# Replace <ENV_NAME> with the name of your environment/ runtime
conda activate <ENV_NAME>

Shutting down runtimes

It is best practice to shut down a runtime when you are finished working in it. To shut down a runtime, click Kernels in the top menu, then select the specific runtime you want to shut down or Shut Down All.

Managing packages in a runtime

Installing additional packages

Even after you’ve created a runtime, you can continue to add packages as needed. To add a package to a custom runtime:

1. Open a terminal from the Launcher.

2. Activate the runtime environment by running the following command:

   # Replace <ENV_NAME> with the name of the runtime environment
   conda activate <ENV_NAME>
   

3. Install the packages you want to add to the environment:

   # Replace <PACKAGE> with the name of the package you want to install
   conda install <PACKAGE>
   

Verify the package was installed by activating the runtime and running the following command in a notebook cell:

!conda list

Updating packages

To update packages in your runtime:

1. Open a terminal from the Launcher.

2. Activate the environment by running the following command:

   # Replace <ENV_NAME> with the name of the environment
   conda activate <ENV_NAME>
   

3. To update the package:

   # Replace <PACKAGE> with the name of the package you want to update
   conda update <PACKAGE>
   

Removing packages

To remove packages in your runtime:

1. Open a terminal from the Launcher.

2. Activate the environment by running the following command:

   # Replace <ENV_NAME> with the name of the environment
   conda activate <ENV_NAME>
   

3. To remove the package:

   # Replace <PACKAGE> with the name of the package you want to update
   conda remove <PACKAGE>
   

Removing custom runtimes

To remove a custom runtime:

1. Open a terminal from the Launcher.

2. Run the following command to remove the custom runtime:

# Replace <ENV_NAME> with a new name for your environment/ runtime
conda env remove --name <ENV_NAME>

The custom runtime no longer appears in the kernel selector or Launcher.

Troubleshooting

”Missing ipykernel dependency” error

A missing ipykernel dependency error is caused by an environment dependency list not including the required ipykernel package. To resolve this issue, add the ipykernel package to your environment’s dependency list. For example:

channels:
  - defaults
dependencies:
  - python=3.11
  - numpy
  - pandas
  - ipykernel