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Sigilweaver
Building resilient infrastructure for data and science.
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Building resilient infrastructure for data and science.
Sigilweaver primarily develops open-source scientific data tooling and standalone data pipelines. Our overarching goal is to ensure data remains portable, reproducible, and accessible across different ecosystems.
Visual data pipeline tool built on Polars. Self-hosted, no SaaS required. Approaching its first public release.
Open Specifications & Interoperability
Developing reference implementations and public test corpora for binary formats. This work focuses on enabling cross-platform interoperability, toolchain integration, and long-term data preservation.
Fast, columnar multi-sample variant store built on LanceDB. Ingests VCF/BCF files (and annotation sources like ClinVar) into per-field Arrow columns — query by region or gene, annotate against ClinVar, and compare across samples with no Spark, no cloud, no GenomicsDB.
Columnar, memory-mapped mass spectrometry store built on Lance. Ingests from vendor formats (via OpenProteo) or mzML - faster reads, cheaper seeks, multi-run directories, and direct export back to mzML.
Umbrella Rust and Python stack for proteomics raw-file access. Single API over all three vendor parsers, mzML 1.1.0 conversion, and Arrow output - no vendor SDKs or Windows-only DLLs.
Shared, vendor-neutral foundation for the OpenProteo stack. Defines the SpectrumSource trait, canonical SpectrumRecord / RunMetadata types, a streaming mzML 1.1.0 writer with indexed output and SHA-1 footer, an optional Arrow RecordBatch bridge, and a cross-vendor conformance harness.
Independent spec and reader for Thermo Fisher's RAW format, used by Xcalibur on Orbitrap and LTQ instruments. Full format documentation, mass spectra and chromatogram extraction.
Independent spec and reader for Bruker's TDF format — an SQLite database paired with a binary blob (analysis.tdf_bin), used by timsTOF instruments for time-of-flight acquisitions.