Datapane's Python library and CLI can be installed using either
pip on macOS, Windows, or Linux. Datapane supports Python 3.6 - 3.8. Support for 3.9 is currently in progress and will be added imminently.
If you use
conda, you can install it with:
$ conda install -c conda-forge "datapane>=0.9.0"
If you use
pip, you can install it with:
$ pip3 install -U datapane
We generally recommend installing via
pip on Windows as it's easier to install all the required dependencies.
If you need to install Python first, the latest versions of Windows 10 can install Python for you automatically - running
python from the command-prompt will take you to the Windows Store where you can download an official version. We also strongly recommend using a 64-bit rather than the 32-bit version of Python, you can check this by running the command
python -c "import struct; print(struct.calcsize('P')*8, 'bit')" from the Command Prompt.
python -c "import struct; print(struct.calcsize('P')*8, 'bit')"
Also note that on Windows, you can run the
datapane command either by running
datapane.exe on the command-line.
Some specific issues you may encounter on Windows include:
You may encounter errors such as
ImportError: DLL load failed when running datapane or importing it within your Python code.
If so, try installing the Visual C++ Redistributables for Windows from Microsoft and running again (you most likely want to download the version for x64, i.e.
This usually occurs when you are running a 32-bit version of Python and installing via
pip. Either try using
conda or install a 64-bit version of Python (for example from the Windows Store as mentioned above).
This may also occur when using Windows 7 - we only support directly Windows 10, however, it may be worth trying to install via
conda instead, if you are stuck on Windows 7.
This occurs when your Windows
%PATH% doesn't include all the Python directories, specifically the
You may notice during the datapane install messages such as (or similar to):
The script datapane.exe is installed in 'C:\users\<USERNAME>\appdata\local\programs\python\python37\Scripts' which is not on PATH.Consider adding this directory to PATH or, if you prefer to suppress this warning, use --no-warn-script-location.
To fix this, adjust your
%PATH% to include your specific
Scripts path as mentioned in the
pip warning (see https://datatofish.com/add-python-to-windows-path/ for more detailed instructions). Alternatively, you can try running the datapane client directly, using the command
python3.exe -m datapane.client instead.
As well as a local Python framework for generating reports, Datapane has a server component which is accessed through the CLI and Python library and requires an authentication token. You can authenticate through either the CLI or the Python library, and all future requests from both the CLI and Python library will automatically be authenticated.
Datapane Public is hosted on datapane.com and is available as a free, public server which you can use to publish and share reports. The API and CLI are configured to use this server by default. After you sign up for a free account, you will see a code snippet which includes a login command,
dp.login, with your token.
Login by running this code snippet or Python library using this key. All future requests from both the CLI and Python library will automatically be authenticated.
import datapane as dpdp.login(token=your_token)
$ datapane loginEnter your API Key: [paste your API key here]
Datapane for Teams provides private hosted servers and supports on-premise instances for organizations. In such a case, log in to your instance, for instance
https://your-company.datapane.net , using the credentials provided to you by your admin.
Similarly to using the public instance, your home page will indicate your API key and you will be able to authenticate by passing in your API key to the login command. You will need to pass in the full URL of your server (including the
https://) to the login command as follows.
$ datapane login --server=https://[your-server].datapane.netEnter your API Key: [paste your API key here]
import datapane as dpdp.login(token=your_token, server='https://[your-server].datapane.net')
To check you have access and which account you are logged in as, run:
$ datapane ping
import datapane as dpdp.ping()