tamarind-cli is a command-line client for Tamarind Bio. It is used to access the company’s computational tools for biotech research and development, including work on proteins, antibodies, peptides, enzymes, and small molecules.
The service is described as supporting the design and optimization of nanobodies, antibodies, and mini proteins, along with the prediction of immune protein structures at massive scale and speed. It also supports redesigning and optimizing CDRs for an antigen, predicting binding poses of antibody-antigen complexes, optimizing and predicting sequences for thermostability, solubility, and other developability properties, and designing de novo nanobody binders for an antigen. The site also says it provides access to published tools such as AlphaFold, RFdiffusion, MPNN, and GROMACS, and lists many other named methods and tools in its interface.
Delivery is described as a simple web interface or a programmatic API, and the page also refers to the product as a central interface connecting users to published tools. It says the platform handles high performance compute, parallelization, and GPU orchestration, and that its tools can be used for hundreds of thousands of inputs. The page says no setup is required, and it emphasizes that no literature review or deployment is needed to use the tools.
For data handling, Tamarind Bio says users own all inputs and derivatives, that data is hosted on a SOC 2 compliant secure cloud, and that only the user and organization members have access to the data. It also states that each computation is isolated with no contamination.
tamarind-cli is an Inference & model serving project. It focuses on enabling researchers to manage protein and molecule jobs on Tamarind Bio directly from the command line. It is built as an open-source project for bioinformatics researchers. tamarind-cli is open source under the MIT license. It ships for the web and the command line.
It is developed by Tamarind Bio, and it first shipped in 2026. Key capabilities include job submission, job monitoring, and protein analysis. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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