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1 | 1 | #### Overview |
2 | | -Emscripten-forge is a conda package distribution specifically designed for WebAssembly. When combined with JupyterLite and the jupyterlite-xeus extension, it enables easy deployment of JupyterLite with a preconfigured conda environment that includes essential packages like NumPy, Pandas, Matplotlib, and more. |
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4 | | -While the number of available emscripten-forge packages is growing quickly, many packages are still missing from the ecosystem. |
| 3 | +Emscripten-forge is a conda package distribution tailored for WebAssembly, enabling seamless integration with JupyterLite and [notebook.link](https://notebook.link). By combining Emscripten-forge with these platforms, users can deploy a fully functional, preconfigured scientific computing environment in the browser—including essential packages like NumPy, Pandas, Matplotlib, SciPy and many more. |
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6 | | -We will be working on adding new packages upon request. |
| 5 | +This ecosystem unlocks new possibilities for interactive, client-side data science, education, and collaboration, without requiring server-side infrastructure. Packages built with Emscripten-forge will be immediately available in JupyterLite and [notebook.link](https://notebook.link), making them accessible for shareable, collaborative notebooks. |
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8 | | -##### Are you interested in this project? Either entirely or partially, contact us for more information on how to help us fund it |
| 7 | +While the Emscripten-forge ecosystem is rapidly expanding, many critical packages are still missing. |
| 8 | + |
| 9 | +**We are actively seeking funding to accelerate the growth of this ecosystem.** |
| 10 | + |
| 11 | +##### Why Contribute? |
| 12 | + |
| 13 | +Empower Web-Based Science: Enable researchers, educators, and developers to run complex scientific workflows directly in the browser. |
| 14 | + |
| 15 | +Democratize Access: Remove barriers to entry by eliminating the need for local installations or cloud resources. |
| 16 | +Enhance Collaboration: Make advanced scientific tools available in notebook.link, fostering real-time collaboration and sharing. |
| 17 | + |
| 18 | +Shape the Future: Help define the next generation of web-native scientific computing tools. |
| 19 | + |
| 20 | +##### Key Opportunities |
| 21 | + |
| 22 | +We are prioritizing the following projects, but welcome suggestions for others: |
| 23 | + |
| 24 | +| Project | Impact | |
| 25 | +| --------------------------------- | ----------------------- | |
| 26 | +| GNU Octave Packages. | Complement the [xeus-octave](https://github.com/jupyter-xeus/xeus-octave) kernel by packaging Octave’s [official package ecosystem](https://gnu-octave.github.io/packages/). | |
| 27 | +| Bioconductor R Packages | Bring bioinformatics and computational biology tools to the browser. | |
| 28 | +| PyTorch | Enable machine learning workflows in the browser. | |
| 29 | +| Custom Requests | Have a specific package in mind? Let’s discuss how to prioritize it! | |
| 30 | + |
| 31 | + |
| 32 | +##### Are you interested in this project? Either entirely or partially, contact us for more information on how to help us fund it |
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