← R&D & bioinformatics platforms
Helical
Helical is a r&d & bioinformatics platforms tool whose code is published by helicalAI on GitHub, first public in 2024. Python framework that runs bio foundation models such as Geneformer, scGPT, UCE and Evo 2 through one interface for embedding and fine-tuning, with an MCP integration for OpenAI Codex.
| Category | R&D & bioinformatics platforms |
|---|---|
| Developer (GitHub) | helicalAI |
| Input | RNA (single-cell, mRNA) and DNA |
| Task | Unified inference, embedding and fine-tuning for bio foundation models |
| Interface | Python package (pip install helical), MCP for OpenAI Codex |
| GitHub | helicalAI/helical |
| Released | 2024-07-29 (source) |
| Code license | AGPL-3.0 |
| Weights license | wrapped model weights keep their own upstream licenses |
| What this allows | Copyleft (commercial OK, share-alike) You can build commercial products on it, but modified or combined versions, including ones users reach over a network, must ship their source under the same license. What do these mean? |
| License source | github.com/helicalAI/helical/blob/main/LICENSE · checked 2026-10-29 |
| Pricing | Open source |
| Tags | #foundation-model#framework#mcp |
| Last checked | · links verified |
Can I use Helical commercially?
Yes, with conditions. It is under AGPL: if you modify it and distribute it or run it as a network service, you must release your source under the same license.
- Code: AGPL-3.0
- Weights: wrapped model weights keep their own upstream licenses
- Source: github.com/helicalAI/helical/blob/main/LICENSE · license checked 2026-10-29
What the license types mean · not legal advice.
Specs
| Focus | Inference and fine-tuning of RNA and DNA foundation models |
|---|---|
| Access (web / API / SDK) | Open-source Python package; MCP integration for OpenAI Codex |
| Compute | GPU with CUDA (per README installation notes) |
| GitHub stars | 235 |
| Interface | Python package (pip install helical), MCP for OpenAI Codex |
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