Widgetti
Widgetti is a software-development company focused on the front-end side of the Jupyter and Python data-app ecosystem. It helps organizations build, extend, deploy, and support high-quality Jupyter- and data applications, while maintaining open-source libraries such as Solara, Reacton, ipyvuetify, and ipyvolume.
At a Glance
- Python developers and data scientists
- Jupyter and ipywidgets users
- Startups and large enterprises building data applications
- Organizations needing internal dashboards, AI/ML interfaces, or analytics tools
- +1 more
AI Tools by Widgetti
(1)
Solara
Python Web App Framework
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Latest News
Solara repository reported an active CI/package-lock update on the master branch.
Solara repository recorded a performance improvement to compress each static file once rather than on every request.
Solara version 1.64.0 was published in the repository's current version history.
Solara added cleanup of per-kernel subscription residue at kernel close.
Products & Services
A pure-Python, React-style framework for building dashboards and larger web applications on top of ipywidgets/Reacton; includes a standalone Solara Server for Jupyter and production web deployment.
Commercial extension package for Solara with enterprise components and functionality, priority support, custom components/functionality, training and workshops, and code/design consultation.
A pure-Python port of React for ipywidgets, providing component-oriented application development and the foundation on which Solara is built.
Jupyter widgets based on Vuetify UI components.
Market Position
Widgetti positions Solara as a production-oriented alternative to dashboard-focused Python frameworks such as Streamlit and Dash, with a React-style component model, fine-grained reactive state, direct access to Python libraries, and deep compatibility with Jupyter/ipywidgets. Its differentiation is the ability to scale from notebooks and prototypes to larger web applications without requiring a separate JavaScript front end, supported by Widgetti's consulting and enterprise offering.
Leadership
Founders
Maarten Breddels
Creator of Solara, ipyvolume, Reacton and Vaex contributor; core ipywidgets developer and maintainer, co-creator of Voilà, and experienced in large-dataset astronomy and Python data tooling.
Mario Buikhuizen
Software developer and data engineer; primary author/creator of ipyvuetify and ipyvue, and co-creator of Solara with Maarten Breddels.
Executive Team
Maarten Breddels
Co-Founder; Creator of Solara
Python/Jupyter data-tooling entrepreneur, core ipywidgets developer and maintainer, creator of Solara, ipyvolume, Reacton and Vaex contributor, and co-creator of Voilà.
Mario Buikhuizen
Co-Founder
Software developer and data engineer; creator/primary author of ipyvuetify and ipyvue and co-developer of Solara.
Founding Story
Widgetti was founded by Maarten Breddels and Mario Buikhuizen in 2023 to apply their experience with ipywidgets, Python, and front-end development to larger, maintainable data applications. Solara grew from the founders' observation that UI development becomes difficult as ipywidgets applications scale; its initial vision was a React-like, pure-Python framework and efficient server for turning Jupyter prototypes into production web apps.
Business Model
Revenue Model
Open-source software plus paid professional services and commercial enterprise licensing. Widgetti offers consulting/support for Jupyter and data apps, custom ipywidgets and Jupyter extensions, while solara-enterprise requires a commercial license and includes priority support, training, custom work, and code/design consultation.
Pricing Tiers
Free for personal and commercial use.
Enterprise components and functionality are free for personal use.
Commercial use requires a license priced according to the organization's needs; includes enterprise functionality, priority support, possible custom development, training/workshops, and code/design consultation.
Target Markets
- Python developers and data scientists
- Jupyter and ipywidgets users
- Startups and large enterprises building data applications
- Organizations needing internal dashboards, AI/ML interfaces, or analytics tools
- Teams needing Jupyter front-end engineering, custom widgets, training, or support
- Building interactive data-science dashboards
- Turning Jupyter or ipywidgets prototypes into maintainable production web applications
- Large or complex Python web applications without a separate front-end codebase
- AI/ML and data-exploration applications
- Internal enterprise tools and browser-based analytics
- Custom Jupyter extensions and ipywidgets development
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