Liatir
Open-source local-first desktop app that runs bioinformatics tools, AI models, and visual pipelines on your own computer.
At a Glance
Open-source desktop app under GNU GPL v3, free and runs locally on your own computer, including offline.
Engagement
Available On
Alternatives
Listed Oct 2026
About Liatir
Liatir is an open-source desktop application from the Liatir organization that brings bioinformatics tools, locally managed AI models, plugins and visual pipelines into one local-first environment. The homepage lists version 0.2.1 under the GNU GPL v3 and states that nothing opened in the app leaves the machine.
What It Is
Liatir is a desktop environment for bioinformatics built with Rust, Tauri 2 and SvelteKit. Users run native tools, AI models, .lia plugins, API connectors and external workflows such as Nextflow from one interface. Workspaces retain inputs, execution logs, results and provenance. Local analyses keep working offline once their dependencies are installed.
Tools, models and pipelines
Bundled tools include FastQC, fastp, seqkit, samtools, bcftools, BWA-MEM, minimap2 and SnpEff. Local AI models cover single-cell embeddings and annotation (for example Geneformer and scGPT) as well as molecular relaxation and dynamics, delivered as signed packages that install in one click and can use a GPU when available. Tools, models, plugins and API connectors are connected as nodes in visual pipelines. Built-in viewers show genome tracks, protein and molecular structures, and single-cell data next to the step that produced them.
Extensibility and assistant control
Plugins in the .lia format can run with Node, Python or WASM, either as pipeline nodes or standalone. A controlled local MCP interface lets an AI assistant on the same computer start a saved pipeline, using only allowed files and only after the user approves the run.
Scientific Showcases
The project publishes showcases documenting scientific questions, methods, results and limitations. One compares pretrained Geneformer and scGPT representations with PCA, Harmony and scVI on PBMC and Pancreas data. It reports that the pretrained models did not show a uniform advantage, and the study notes that it covers two datasets and one seed.
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Pricing
Free
Open-source desktop app under GNU GPL v3, free and runs locally on your own computer, including offline.
- Runs locally, even without a network connection
- No cloud or server, no telemetry
- Bundled native tools (FastQC, fastp, seqkit, samtools, bcftools, BWA-MEM, minimap2, SnpEff)
- Local AI models
- Visual pipelines and .lia plugins
Capabilities
Key Features
- Local-first execution with no cloud, servers or telemetry
- Bundled bioinformatics tools (FastQC, fastp, seqkit, samtools, bcftools, BWA-MEM, minimap2, SnpEff)
- One-click installable local AI models
- Visual pipeline builder
- Nextflow and external workflow integration
- API connectors as pipeline nodes
- .lia plugins in Node, Python or WASM
- Built-in genome, molecular structure and single-cell viewers
- Local MCP interface for assistant-driven pipeline runs
- Workspaces with logs, results and provenance
- Rust-powered handling of large files
