Datapane's API-first platform provides an end-to-end workflow for deploying and sharing Python scripts, notebooks, and reports.
Sharing Python analyses is painful. Datapane's API fits into your existing code and data infrastructure to bridge the gap between analyses and stakeholders.
Sick of proprietary connectors and restricted environments? Bring the full power of the Python ecosystem to your BI and reporting.
Deploy your existing Jupyter Notebooks and Python scripts with your own libraries, files, and pip packages.
Use Datapane's API to integrate with the other platforms you use -- such as GitHub, your CI platform, Airflow, or Sagemaker.
Instead of relying on a limited set of proprietary integrations, use Python to flexibly connect to your warehouse, CRM, or API.
- name: sales-forecasting
- - ./acme-corp-lib/
- - ./query.sql
- script: ./forecast.ipynb
- - simple-salesforce
- - fbprophet
- - name: start_date
- type: date
- - name: end_date
- type: date
- - name: region
- type: enum
- choices: ['Europe', 'North America']
- - name: query
- type: string
Datapane packages Python analyses into self-service reporting tools which anyone can run in their browser to generate results, without worrying about code or a Python environment.
Expose scripts as rich web-forms to send parameters into analyses and generate reports dynamically.
Run scripts on a cadence to automate traditional reporting tasks in Python and SQL.
Organisational accounts and APIs for blob storage, secret variables, and embedding, means you can bridge the gap between Python scripts and production-ready reporting.
Securely share reports and scripts inside your company on a private Datapane instance.
Embed reports into your internal wiki, knowledge base, or in your client-facing web app.
Store and manage secrets such as credentials and API keys using Datapane's API, so your scripts can securely connect to other platforms.
Datapane can be hosted by us or run on your cloud provider. Choose one of our paid plans or get in touch.
Up to 20 named users. Securely share analyses with stakeholders in your own hosted instance.
Private Hosted Instance
Unlimited Scripts & Reports
Datapane Branded Embedding
Warehouse and API Integration
Unlimited users. Deploy and integrate Datapane into your organisation and applications.
Granular Access Controls
Datapane provides either a secure, managed environment or an on-premise deployment which you can run on your own infrastructure.
Scripts are written in Python, and can be .py files or Jupyter Notebooks. You can also include other files, such as SQL scripts or internal libraries, which you can use in your script.
Yes. Once on Datapane, your code has network access and can connect to third-party systems, so can push or pull from a database or API.
You can include any local dependencies or pip libraries in your script's configuration.
No. Datapane's philosophy is to fit into your existing infrastructure, and provides an API to push assets (such as trained models) from other platforms so you can access them in your scripts.
Yes. You can securely embed reports into your wiki, knowledge base, or external web application.