Preview of Kyso's new cloud environment

eoin profile picEoin Murray


Here's a preview of the new Kyso cloud environment for data-science and machine learning.

Pick and choose how many CPU's and GPU's you want, and we give you a ready-made environment for doing data-science with python. We include many typical programs like git and nano, and many python libraries like Jupyter, Tensorflow, Numpy, Scipy and Pandas. We also include plotting libraries like Matplotlib, Seaborn, Plotly and Bokeh.

Data-science development In our cloud environment you can access Jupyter, and a terminal, where you can install custom libaries as needed. We also let you commit all your work to kyso.io, or you can use git if you wish.

Sharing read-only notebooks We will also be releasing a Jupyter-dashboard environment where you can share read-only runnable Jupyter dashboards with others. You can also run your notebook in http-mode to quickly create and test REST API's.

Pricing is per hour of usage, starting from $0.055/hr for our smallest machine, and GPU's start at $0.9/hr during the beta. We will release exact machine sizes, and more detailed pricing information in the near future.

Here is a list of relevant programs and python libraries installed on the environment. Contact us on laura@kyso.io if you want to request extra programs/libraries.

python-pip
python
python-dev
python3
python3-dev
python3-pip
git
gfortran
libblas-dev
liblapack-dev
libatlas-base-dev
libxml2-dev
libxslt1-dev
libreadline6
libreadline6-dev
build-essential
curl
libjpeg8
libjpeg8-dev
libfreetype6
libfreetype6-dev
zlib1g-dev
pkg-config
libffi-dev
python-pip
curl
wget
gcc
libhdf5-serial-dev
nano

Here is a list of all the python libraries installed, currently they all get installed using the 'pip3' command, so will work best with python3.

beautifulsoup4==4.6.0
bkcharts==0.2
bleach==2.0.0
bokeh==0.12.6
boto==2.48.0
bqplot==0.9.0
bz2file==0.98
certifi==2017.7.27.1
chardet==3.0.4
click==6.7
cycler==0.10.0
dash==0.17.7
dash-core-components==0.12.2
dash-html-components==0.7.0
dash-renderer==0.7.4
decorator==4.1.2
Django==1.11.4
dumb-init==1.2.0
entrypoints==0.2.3
enum34==1.1.6
Flask==0.12.2
Flask-Compress==1.4.0
Flask-SeaSurf==0.2.2
gensim==2.3.0
h5py==2.7.0
html5lib==0.9999999
idna==2.6
ipykernel==4.6.1
ipyleaflet==0.3.0
ipython==6.1.0
ipython-genutils==0.2.0
ipyvolume==0.3.2
ipywidgets==5.2.3
itsdangerous==0.24
jedi==0.10.2
Jinja2==2.9.6
joblib==0.11
jsonschema==2.6.0
jupyter==1.0.0
jupyter-client==5.1.0
jupyter-console==5.1.0
jupyter-contrib-core==0.3.1
jupyter-contrib-nbextensions==0.2.8
jupyter-core==4.3.0
jupyter-dashboards==0.7.0
jupyter-highlight-selected-word==0.0.11
jupyter-kernel-gateway==2.0.0
jupyter-latex-envs==1.3.8.4
jupyter-nbextensions-configurator==0.2.5
Keras==2.0.6
Markdown==2.6.9
MarkupSafe==1.0
matplotlib==2.0.2
mistune==0.7.4
mpmath==0.19
nbconvert==5.2.1
nbformat==4.3.0
networkx==1.11
nltk==3.2.4
notebook==5.0.0
numpy==1.13.1
olefile==0.44
pandas==0.20.3
pandocfilters==1.4.2
patsy==0.4.1
pexpect==4.2.1
pickleshare==0.7.4
Pillow==4.2.1
plotly==2.0.14
prompt-toolkit==1.0.15
protobuf==3.4.0
psutil==5.2.2
ptyprocess==0.5.2
pycurl==7.43.0
Pygments==2.2.0
pygobject==3.20.0
pymc3==3.1
pyparsing==2.2.0
python-apt==1.1.0b1
python-dateutil==2.6.1
pythreejs==0.3.1
pytz==2017.2
PyYAML==3.12
pyzmq==16.0.2
qtconsole==4.3.1
requests==2.18.4
scikit-learn==0.19.0
scipy==0.19.1
seaborn==0.8
simplegeneric==0.8.1
six==1.10.0
smart-open==1.5.3
statsmodels==0.8.0
sympy==1.1.1
tensorflow==1.3.0
tensorflow-tensorboard==0.1.4
terminado==0.6
testpath==0.3.1
Theano==0.9.0
tornado==4.5.1
tqdm==4.15.0
traitlets==4.3.2
traittypes==0.0.6
unattended-upgrades==0.1
urllib3==1.22
wcwidth==0.1.7
Werkzeug==0.12.2
widgetsnbextension==1.2.6