https://github.com/binder-examples/tensorboard but on gist

environment.yml

name: binder-tensorboard
channels:
  - conda-forge
  - defaults
dependencies:
  - _libgcc_mutex=0.1=conda_forge
  - _openmp_mutex=4.5=0_gnu
  - _tflow_select=2.3.0=mkl
  - absl-py=0.9.0=py37_0
  - aiohttp=3.6.2=py37h516909a_0
  - astor=0.7.1=py_0
  - async-timeout=3.0.1=py_1000
  - attrs=19.3.0=py_0
  - backcall=0.1.0=py_0
  - bleach=3.1.0=py_0
  - c-ares=1.15.0=h516909a_1001
  - ca-certificates=2019.11.28=hecc5488_0
  - certifi=2019.11.28=py37_0
  - chardet=3.0.4=py37_1003
  - decorator=4.4.1=py_0
  - defusedxml=0.6.0=py_0
  - entrypoints=0.3=py37_1000
  - gast=0.2.2=py_0
  - google-pasta=0.1.8=py_0
  - grpcio=1.23.0=py37he9ae1f9_0
  - h5py=2.10.0=nompi_py37h513d04c_101
  - hdf5=1.10.5=nompi_h3c11f04_1104
  - idna=2.8=py37_1000
  - importlib_metadata=1.4.0=py37_0
  - ipykernel=5.1.3=py37h5ca1d4c_0
  - ipython=7.11.1=py37h5ca1d4c_0
  - ipython_genutils=0.2.0=py_1
  - jedi=0.15.2=py37_0
  - jinja2=2.10.3=py_0
  - jsonschema=3.2.0=py37_0
  - jupyter-server-proxy=1.2.0=py_0
  - jupyter_client=5.3.4=py37_1
  - jupyter_core=4.6.1=py37_0
  - keras-applications=1.0.8=py_1
  - keras-preprocessing=1.1.0=py_0
  - ld_impl_linux-64=2.33.1=h53a641e_7
  - libblas=3.8.0=14_openblas
  - libcblas=3.8.0=14_openblas
  - libffi=3.2.1=he1b5a44_1006
  - libgcc-ng=9.2.0=h24d8f2e_2
  - libgfortran-ng=7.3.0=hdf63c60_4
  - libgomp=9.2.0=h24d8f2e_2
  - liblapack=3.8.0=14_openblas
  - libopenblas=0.3.7=h5ec1e0e_6
  - libprotobuf=3.11.2=h8b12597_0
  - libsodium=1.0.17=h516909a_0
  - libstdcxx-ng=9.2.0=hdf63c60_2
  - markdown=3.1.1=py_0
  - markupsafe=1.1.1=py37h516909a_0
  - mistune=0.8.4=py37h516909a_1000
  - more-itertools=8.1.0=py_0
  - multidict=4.7.3=py37h516909a_0
  - nbconvert=5.6.1=py37_0
  - nbformat=5.0.3=py_0
  - ncurses=6.1=hf484d3e_1002
  - notebook=6.0.1=py37_0
  - numpy=1.17.3=py37h95a1406_0
  - openssl=1.1.1d=h516909a_0
  - opt_einsum=3.1.0=py_0
  - pandoc=2.9.1.1=0
  - pandocfilters=1.4.2=py_1
  - parso=0.5.2=py_0
  - pexpect=4.7.0=py37_0
  - pickleshare=0.7.5=py37_1000
  - pip=19.3.1=py37_0
  - prometheus_client=0.7.1=py_0
  - prompt_toolkit=3.0.2=py_0
  - protobuf=3.11.2=py37he1b5a44_0
  - ptyprocess=0.6.0=py_1001
  - pygments=2.5.2=py_0
  - pyrsistent=0.15.7=py37h516909a_0
  - python=3.7.6=h357f687_2
  - python-dateutil=2.8.1=py_0
  - pyzmq=18.1.1=py37h1768529_0
  - readline=8.0=hf8c457e_0
  - scipy=1.4.1=py37h921218d_0
  - send2trash=1.5.0=py_0
  - setuptools=45.0.0=py37_1
  - simpervisor=0.3=py_1
  - six=1.14.0=py37_0
  - sqlite=3.30.1=hcee41ef_0
  - tensorboard=2.0.0=pyhb38c66f_1
  - tensorflow=2.0.0=mkl_py37h66b46cc_0
  - tensorflow-base=2.0.0=mkl_py37h9204916_0
  - tensorflow-estimator=2.0.0=pyh2649769_0
  - termcolor=1.1.0=py_2
  - terminado=0.8.3=py37_0
  - testpath=0.4.4=py_0
  - tk=8.6.10=hed695b0_0
  - tornado=6.0.3=py37h516909a_0
  - traitlets=4.3.3=py37_0
  - wcwidth=0.1.8=py_0
  - webencodings=0.5.1=py_1
  - werkzeug=0.16.0=py_0
  - wheel=0.33.6=py37_0
  - wrapt=1.11.2=py37h516909a_0
  - xz=5.2.4=h14c3975_1001
  - yarl=1.3.0=py37h516909a_1000
  - zeromq=4.3.2=he1b5a44_2
  - zipp=1.0.0=py_0
  - zlib=1.2.11=h516909a_1006

postBuild

#!/bin/bash
# tensorboard launches at startup
mv tensorboardserverextension.py ${NB_PYTHON_PREFIX}/lib/python*/site-packages/
# enable tensorboard extension
jupyter serverextension enable --sys-prefix tensorboardserverextension

tensorboardserverextension.py

from subprocess import Popen


def load_jupyter_server_extension(nbapp):
    """serve the tensorboard with data from logs directory"""
    Popen(["tensorboard", "--logdir", "logs", "--port", "6006"])