Datapane's Python library and CLI can be installed using either
pip on macOS, Windows, or Linux. Datapane supports Python 3.6 - 3.9.
If you use
conda, you can install it with:
$ conda install -c conda-forge "datapane>=0.10.0"
If you use
pip, you can install it with:
$ pip3 install -U datapane
We upgrade datapane regularly to include new features, both in the client and on the hosted version. From time to time your client may no longer be compatible with the datapane server when publishing a report.. If this happens, you receive an error like the following,
IncompatibleVersionError: Your client is out-of-date (version 0.9.2) and may be causing errors, "please upgrade to version 0.10.2
In such an event, please upgrade your datapane cli via
conda and try again.
Upgrading via pip
If you installed datapane via pip, run the following command, adding
--user flag if needed
pip install -U datapane OR pip install --user -U datapane
Upgrading via conda
If you installed
datapane via conda, run the following command, adding the
--all flag if needed. As above, if you receive errors please try using a fresh conda environment.
conda update datapane OR conda update --all
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 is hosted on datapane.com and is available as a free server where you can publish reports. Reports can be public or private, and shared securely or with the entire community. 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 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.
Similar to when using the free Datapane 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()