Hardware
| Compute | 2 CPU |
| Memory | 4 GB |
| GPU | Available on request |
| Storage | 10 GB |
| Internet access | Yes |
Preconfigured packages
To help you get started fast, all Mantle Notebooks come with the following kernels:Default kernel
For general purpose biological data analysis- Python 3.12
Packages
Packages
Package Version
----------------------------- ------------
alembic 1.12.0
anyio 4.0.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.0
async-generator 1.10
async-lru 2.0.4
attrs 23.1.0
Babel 2.13.0
backcall 0.2.0
backports.functools-lru-cache 1.6.5
beautifulsoup4 4.12.2
bleach 6.1.0
blinker 1.6.3
boltons 23.0.0
boto3 1.35.59
botocore 1.35.59
Brotli 1.1.0
cached-property 1.5.2
cachetools 5.5.0
certifi 2023.7.22
certipy 0.1.3
cffi 1.16.0
charset-normalizer 3.3.0
colorama 0.4.6
comm 0.1.4
conda 23.9.0
conda-package-handling 2.2.0
conda_package_streaming 0.9.0
cryptography 41.0.4
debugpy 1.8.0
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.4
exceptiongroup 1.1.3
executing 1.2.0
fastjsonschema 2.18.1
fqdn 1.5.1
google-auth 2.36.0
greenlet 3.0.0
idna 3.4
importlib-metadata 6.8.0
importlib-resources 6.1.0
ipykernel 6.25.2
ipython 8.16.1
ipython-genutils 0.2.0
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.2
jmespath 1.0.1
json5 0.9.14
jsonpatch 1.33
jsonpointer 2.4
jsonschema 4.19.1
jsonschema-specifications 2023.7.1
jupyter_client 8.4.0
jupyter_core 5.4.0
jupyter-events 0.8.0
jupyter-lsp 2.2.0
jupyter_server 2.8.0
jupyter_server_terminals 0.4.4
jupyter-telemetry 0.1.0
jupyterhub 4.0.2
jupyterlab 4.0.7
jupyterlab-pygments 0.2.2
jupyterlab_server 2.25.0
libmambapy 1.5.2
Mako 1.2.4
mamba 1.5.2
mantlebio 2.1.1
mantlelab 0.1
MarkupSafe 2.1.3
matplotlib-inline 0.1.6
mistune 3.0.1
nbclassic 1.0.0
nbclient 0.8.0
nbconvert 7.9.2
nbformat 5.9.2
nest-asyncio 1.5.8
notebook 7.0.6
notebook_shim 0.2.3
numpy 1.26.4
oauthlib 3.2.2
overrides 7.4.0
packaging 23.2
pamela 1.1.0
pandas 2.2.3
pandocfilters 1.5.0
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
pip 23.3
pkgutil_resolve_name 1.3.10
platformdirs 3.11.0
pluggy 1.3.0
prometheus-client 0.17.1
prompt-toolkit 3.0.39
protobuf 5.28.3
psutil 5.9.5
ptyprocess 0.7.0
pure-eval 0.2.2
pyasn1 0.6.1
pyasn1_modules 0.4.1
pycosat 0.6.6
pycparser 2.21
pycurl 7.45.1
Pygments 2.16.1
PyJWT 2.8.0
pyOpenSSL 23.2.0
PySocks 1.7.1
python-dateutil 2.8.2
python-dotenv 1.0.1
python-json-logger 2.0.7
pytz 2023.3.post1
PyYAML 6.0.1
pyzmq 25.1.1
referencing 0.30.2
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.10.6
rsa 4.9
ruamel.yaml 0.17.39
ruamel.yaml.clib 0.2.7
s3transfer 0.10.3
Send2Trash 1.8.2
setuptools 68.2.2
six 1.16.0
sniffio 1.3.0
soupsieve 2.5
SQLAlchemy 2.0.22
stack-data 0.6.2
terminado 0.17.1
tinycss2 1.2.1
tomli 2.0.1
tornado 6.3.3
tqdm 4.66.1
traitlets 5.11.2
truststore 0.8.0
types-python-dateutil 2.8.19.14
typing_extensions 4.8.0
typing-utils 0.1.0
tzdata 2024.2
uri-template 1.3.0
urllib3 2.0.7
wcwidth 0.2.8
webcolors 1.13
webencodings 0.5.1
websocket-client 1.6.4
wheel 0.41.2
zipp 3.17.0
zstandard 0.21.0
cytoflow kernel
For analysis of flow cytometry data using the cytoflow package
- Python 3.11.6
Packages
Packages
Package Version
----------------------------- ------------
alembic 1.12.0
anyio 4.0.0
argon2-cffi 23.1.0
argon2-cffi-bindings 21.2.0
arrow 1.3.0
asttokens 2.4.0
async-generator 1.10
async-lru 2.0.4
attrs 23.1.0
Babel 2.13.0
backcall 0.2.0
backports.functools-lru-cache 1.6.5
beautifulsoup4 4.12.2
bleach 6.1.0
blinker 1.6.3
boltons 23.0.0
boto3 1.35.53
botocore 1.35.53
Brotli 1.1.0
cached-property 1.5.2
cachetools 5.5.0
certifi 2023.7.22
certipy 0.1.3
cffi 1.16.0
charset-normalizer 3.3.0
colorama 0.4.6
comm 0.1.4
conda 23.9.0
conda-package-handling 2.2.0
conda_package_streaming 0.9.0
cryptography 41.0.4
debugpy 1.8.0
decorator 5.1.1
defusedxml 0.7.1
entrypoints 0.4
exceptiongroup 1.1.3
executing 1.2.0
fastjsonschema 2.18.1
fqdn 1.5.1
google-auth 2.35.0
greenlet 3.0.0
idna 3.4
importlib-metadata 6.8.0
importlib-resources 6.1.0
ipykernel 6.25.2
ipython 8.16.1
ipython-genutils 0.2.0
isoduration 20.11.0
jedi 0.19.1
Jinja2 3.1.2
jmespath 1.0.1
json5 0.9.14
jsonpatch 1.33
jsonpointer 2.4
jsonschema 4.19.1
jsonschema-specifications 2023.7.1
jupyter_client 8.4.0
jupyter_core 5.4.0
jupyter-events 0.8.0
jupyter-lsp 2.2.0
jupyter_server 2.8.0
jupyter_server_terminals 0.4.4
jupyter-telemetry 0.1.0
jupyterhub 4.0.2
jupyterlab 4.0.7
jupyterlab-pygments 0.2.2
jupyterlab_server 2.25.0
libmambapy 1.5.2
Mako 1.2.4
mamba 1.5.2
mantlebio 2.1.1
mantlelab 0.1
MarkupSafe 2.1.3
matplotlib-inline 0.1.6
mistune 3.0.1
nbclassic 1.0.0
nbclient 0.8.0
nbconvert 7.9.2
nbformat 5.9.2
nest-asyncio 1.5.8
notebook 7.0.6
notebook_shim 0.2.3
numpy 1.26.4
oauthlib 3.2.2
overrides 7.4.0
packaging 23.2
pamela 1.1.0
pandas 2.2.3
pandocfilters 1.5.0
parso 0.8.3
pexpect 4.8.0
pickleshare 0.7.5
pip 23.3
pkgutil_resolve_name 1.3.10
platformdirs 3.11.0
pluggy 1.3.0
prometheus-client 0.17.1
prompt-toolkit 3.0.39
protobuf 5.28.3
psutil 5.9.5
ptyprocess 0.7.0
pure-eval 0.2.2
pyasn1 0.6.1
pyasn1_modules 0.4.1
pycosat 0.6.6
pycparser 2.21
pycurl 7.45.1
Pygments 2.16.1
PyJWT 2.8.0
pyOpenSSL 23.2.0
PySocks 1.7.1
python-dateutil 2.8.2
python-dotenv 1.0.1
python-json-logger 2.0.7
pytz 2023.3.post1
PyYAML 6.0.1
pyzmq 25.1.1
referencing 0.30.2
requests 2.31.0
rfc3339-validator 0.1.4
rfc3986-validator 0.1.1
rpds-py 0.10.6
rsa 4.9
ruamel.yaml 0.17.39
ruamel.yaml.clib 0.2.7
s3transfer 0.10.3
Send2Trash 1.8.2
setuptools 68.2.2
six 1.16.0
sniffio 1.3.0
soupsieve 2.5
SQLAlchemy 2.0.22
stack-data 0.6.2
terminado 0.17.1
tinycss2 1.2.1
tomli 2.0.1
tornado 6.3.3
tqdm 4.66.1
traitlets 5.11.2
truststore 0.8.0
types-python-dateutil 2.8.19.14
typing_extensions 4.8.0
typing-utils 0.1.0
tzdata 2024.2
uri-template 1.3.0
urllib3 2.0.7
wcwidth 0.2.8
webcolors 1.13
webencodings 0.5.1
websocket-client 1.6.4
wheel 0.41.2
zipp 3.17.0
zstandard 0.21.0
Adding packages
You can install additional packages into your notebook’s environment usingpip.
Add a new code cell and run !pip install <package_name>. This will immediately install the package.