naas
Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
Stars: 275
Naas (Notebooks as a service) is an open source platform that enables users to create powerful data engines combining automation, analytics, and AI from Jupyter notebooks. It offers features like templates for automated data jobs and reports, drivers for data connectivity, and production-ready environment with scheduling and notifications. Naas aims to provide an alternative to Google Colab with enhanced low-code layers.
README:
Notebooks as a service (Naas) is an open source platform that allows anyone touching data (business analysts, scientists and engineers) to create powerful data engines combining automation, analytics and AI from the comfort of their Jupyter notebooks.
Naas is an attempt to propose an alternative to Google Colab, powered by the community.
In addition to Google Colab, Naas platform upgrade notebooks with with 3 low-code layers: features, drivers, templates.
- Templates enable the user to create automated data jobs and reports in minutes.
- Drivers act as connectors to push and/or pull data from databases, APIs, and Machine Learning algorithms and more.
- Features transform Jupyter in a production ready environment with scheduling, asset sharing, and notifications.
Try all of Naas's features for free using -- Naas cloud -- a stable environment, without having to install anything.
Check out our step by step guide on how to set up Naas locally.
We value all kinds of contributions - not just code. We are paticularly motivated to support new contributors and people who are looking to learn and develop their skills.
Please read our contibuting guidelines on how to get started.
The naas documentation is a great place to start and to get answers for general questions.
- Slack (Live Discussions)
- GitHub Issues (Report Bugs)
- GitHub Discussions (Questions, Feature Requests)
- Twitter (Latest News)
- YouTube (Video Tutorials)
- Previous Community calls (Video call discussions with the naas team & other contributors.)
- Naas's community page (To know more)
The project is licensed under AGPL-3.0
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