B Bioinformatics tooling for VS Code

Turn biological data
into evidence.

BioDataHub is a focused workspace for discovering, inspecting, and analyzing biological datasets. Keep your data, code, and scientific decisions close together.

Free and open source Windows, macOS, Linux Built for researchers

Dataset discovery

Search local files and connect to public repositories without leaving your editor.

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Metadata first

Generate consistent metadata so every analysis stays traceable and reproducible.

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Visual exploration

Inspect distributions, correlations, PCA projections, and clusters in context.

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01 / Installation

Start with a clean workspace.

Install BioDataHub in seconds, then open any CSV or tabular file to begin exploring.

Marketplace
VS Code terminal
$ ext install Mubashir-Ali.bio-data-hub
Requires VS Code 1.85+Release 1.5.0 stableLicense MIT
02 / Your first workflow

From file to finding.

A compact workflow for moving from raw data to a defensible first read.

01

Open a dataset

Bring a CSV into your project and let BioDataHub inspect its shape.

02

Check the metadata

Review columns, missing values, and summary statistics before analysis.

03

Explore the signal

Use plots, PCA, or clustering to find patterns worth investigating.

expression_matrix.csv1,248 rows
sample_id condition expression
SRR1021 control 8.42
SRR1022 control 7.91
SRR1023 treated 12.08
03 / Visualization

See the structure
in your data.

Move from a dense matrix to a visual hypothesis with built-in exploratory analysis. Each view is designed to be read, shared, and reproduced.

Explore analysis commands
PCA / samples control treated
PC1 48.6%PC2 17.2%
04 / Reference

Command palette

Everything you need is one command away.

⌘ K
BioDataHub: Search DatasetsSearch indexed datasets on your machine
BioDataHub: Preview CSVOpen a performant tabular preview
BioDataHub: Generate MetadataCreate a metadata summary for a file
BioDataHub: Run PCAProject observations into principal components
Research & citation

Built for transparent science.

Read the preprint describing BioDataHub and its role in reducing friction in bioinformatics workflows.

Read the paper