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edfcore is a zero-dependency TypeScript library for reading EDF, EDF+, BDF, and BDF+ physiological recordings in browser and Node.js applications. It provides programmatic access to biosignal samples, channel metadata, per-channel sampling rates, physical units, annotations, and discontinuous recording timelines.

A transparent, unit-aware calculator for the mathematical relationship between peptide mass, target concentration and solution volume. It normalizes mg, micrograms, mL and microlitres, shows the formula and includes a reference syringe visualization. Research-use-only software: it does not select a solvent, validate a laboratory method, calculate a dose or provide administration guidance.

Auto-generates clean, customizable academic CVs from open research data (OpenAlex, ORCID, Crossref, DataCite, Open Editors Plus). A single canonical CV object drives every output format (HTML, PDF, DOCX, LaTeX, Markdown); citations render through CSL; and the account holder is matched by persistent identifier (ORCID / OpenAlex ID) rather than name string. Free for individuals, open-source, and FAIR by design.

Inflexa is an open-source, agentic orchestration platform for computational biology and translational medicine. It is designed to assist researchers in analyzing multi-omics, cheminformatics, and imaging data by reading published literature, designing multi-step analysis plans, and executing experiments with full reproducibility.

PureJsImage is a free, open-source TypeScript library for decoding, inspecting, processing, and converting ordinary images and scientific rasters in Node.js and modern browsers. It provides explicit readers for microscopy, whole-slide pathology, medical imaging, electron microscopy, spectroscopy, hyperspectral, and multidimensional array formats. These include OME-TIFF, OME-Zarr, Aperio SVS, DICOM, NIfTI, MRC/CCP4, NRRD, DigitalMicrograph, EMD, ENVI, and FITS. Range-backed readers can request selected regions, tiles, volume planes, and metadata while preserving native numeric samples where supported. The default package has no runtime dependencies. Optional JPEG and PNG WebAssembly accelerators require explicit registration.

Standalone browser-based Gene Ontology network viewer for exploring, filtering, searching, and exporting GO term and gene annotation neighborhoods from locally preprocessed GO OBO and GAF data.

Browser-based viewer for Sanger sequencing chromatograms in AB1/ABIF and SCF format, and for the .srd raw files of the Nanofor-05 capillary sequencer, converted to ABIF as they open. Shows raw and analysed traces, base calls (called or edited), per-base quality and the full ABIF directory, and puts two reads side by side with their tag tables aligned. A read aligns against a pasted or loaded reference, which reports identity, mismatches, indels and the ends that did not align, and flips the strand when the read is on the other one. End trimming (modified Mott or sliding window) has draggable handles, motif search is IUPAC-aware and finds primers, and QC metrics copy out as CSV. Drag on a trace to select a base range, then copy it as FASTA, zoom to it or export just that region. Exports the read as FASTA, FASTQ, .qual or ABIF and the chromatogram as a high-resolution PNG. Open files are kept as local sessions. Runs entirely in the browser — files are never uploaded.

Browser-based tool to open almost any file that carries sequence — FASTA, FASTQ, GenBank, EMBL, Swiss-Prot, AB1/ABIF, SCF, Clustal, Stockholm, PHYLIP, NEXUS, MSF, PIR, MEGA, GFF3, SAM, BAM, GFA, PDB and ACE — see every sequence inside, pick the ones you want, and save them as FASTA. The format is detected from the file content, not from the extension, so unlabelled or misnamed files still open, and gzip-compressed files are unpacked in place. Records can be filtered by length, name, GC or sequence type, reverse-complemented, transcribed DNA↔RNA or translated to protein, deduplicated and reordered before saving. Runs entirely in the browser — files are never uploaded.

Browser-based viewer for GenBank and GenPept records — .gb, .gbk, .gbff, .gp and plain GenBank text. Renders an interactive linear and circular feature map, including circular plasmid maps, alongside the annotated source text and the nucleotide/protein sequence. Translates CDS features using the record's own genetic code and translation qualifiers, flags where the stored /translation disagrees with a plain translation, and adds optional computed layers: ORF prediction and restriction-site mapping. Drag a range in the sequence band to select it, then copy that stretch — either strand, as DNA or as protein, plain or FASTA. Filters features by type, handles multi-record files, and keeps open records as local sessions, so a closed tab can be picked up where it was left. Runs entirely in the browser — files are never uploaded.

edf2csv is a local command-line tool for converting EDF, EDF+, BDF, and BDF+ physiological recordings into CSV and JSON files. It exports signal values, channel information, annotations, and recording metadata while preserving original sampling rates, physical units, and discontinuities.

Browser-based viewer that maps sequencing reads onto one short reference — an amplicon, gene or plasmid. Reads open as Sanger AB1/ABIF, SCF, FASTA, FASTQ or a SAM somebody else already mapped (gzipped files are unpacked in place); the reference as FASTA, GenBank or a read. Both read orientations are tried automatically. The pileup reports per-position depth, where reads disagree with the target, and the consensus — phred-weighted for capillary reads, which keep their chromatogram under the letters. An optional protein lane translates target and consensus side by side. Reads are placed by minimap2 compiled to WebAssembly, or by the built-in aligner. One read or the whole alignment saves as FASTA. Runs entirely in the browser — files are never uploaded.

Meniscus turns a raw microplate-reader export into a defensible quantitative result. It reads eight instrument formats, provides plate layout editing, fits standard curves with six models including 4PL and 5PL, back-calculates sample concentrations, and issues a quality-control verdict against stated thresholds. Every reported number can be expanded into the substituted formula that produced it. Analysis runs entirely in the browser with no upload and no backend. Numerical routines are validated against independent SciPy and NumPy implementations, published openly.