Open source
Built in the open.
We build in the open where we see an unmet need in the tools our field relies on. Phyla Tech maintains open-source software for the community we came up in and sends fixes and features upstream to the projects scientists depend on, contributing where we can add real value.
§ What we maintain, and where we contribute
nf-notion
A Nextflow plugin that mirrors a pipeline run into Notion as a live-updating page, so an entire team can follow a workflow in real time without anyone reading a log file.
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dash-seqviz
A Plotly Dash wrapper for the SeqViz DNA, RNA, and protein viewer, with annotations, primers, and restriction sites. Interactive sequence visualization without leaving the Python dashboards scientists already build in.
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dash-upset
A Plotly Dash component for UpSet plots, the readable way to show intersections across many sets where a Venn diagram gives out. Set-intersection analysis dropped straight into the Python dashboards scientists already build in.
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dash-loading-components
Loading indicators for Plotly Dash: 107 spinners from nine React libraries, including loading.dev, ldrs, and react-spinners, in one install. Every component shares the same size, color, tempo, and pause props, so switching spinner families never means relearning an API.
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mlflow-autogluon
A community MLflow flavor for AutoGluon. It teaches MLflow to save, load, serve, and autolog AutoGluon's tabular, time-series, and multimodal predictors, so AutoML models drop straight into an existing MLflow tracking and deployment stack.
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Omni-Optimizer in pymoo
A paper-faithful implementation of the Omni-Optimizer multi-objective algorithm, contributed upstream to pymoo, a widely used Python framework for multi-objective optimization. Adopted by the maintainer and now shipping in the library, with credit in the project's official documentation.
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Omni-Optimizer in pymoo
A paper-faithful implementation of the Omni-Optimizer multi-objective algorithm, contributed upstream to pymoo, a widely used Python framework for multi-objective optimization. Adopted by the maintainer and now shipping in the library, with credit in the project's official documentation.
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Peer-reviewed research from the team lives on the impact map.
§ Work with us
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The same care that goes into the tools above goes into the systems we build for biotech teams. Yours could be one of them.