{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"},{"label":"Chemistry","url":"https://skillfed.io/packages/category/scientific-engineering-chemistry"}],"enrichment":{"capability":"ViennaRNA provides Python bindings to a C library for predicting and analyzing RNA secondary structures, including minimum free energy folding, partition function calculations, and structure comparison.","skillfed_tags":["rna-structure","bioinformatics","thermodynamics"],"use_cases":["Predict the most stable secondary structure of an RNA sequence to understand its likely biological conformation.","Calculate the partition function and ensemble probabilities to study RNA structural heterogeneity and dynamics.","Find suboptimal structures within a specified energy range to explore alternative conformations.","Predict consensus structures from multiple sequence alignments to identify conserved structural motifs.","Compare two RNA secondary structures to quantify their similarity or dissimilarity.","Search for sequences that fold into a target structure for synthetic biology or aptamer design."],"what_it_does":"ViennaRNA is a Python interface to a mature C library for RNA secondary structure prediction and analysis. It lets you compute minimum free energy structures, ensemble partition functions, equilibrium probabilities, suboptimal structures, and local structures in long sequences. The package also supports consensus structure prediction from alignments, melting curve prediction, and interaction prediction between multiple RNA molecules.\n\nThe library is designed for computational biology and bioinformatics workflows where you need to model RNA folding thermodynamics. It has no runtime dependencies beyond Python itself (the C code is compiled into the wheel), making it straightforward to integrate into analysis pipelines. The package is actively maintained, supports current Python versions, and carries no known security vulnerabilities.","worth_installing":"Yes, with conditions. Install if you need RNA secondary structure prediction in Python and can work with the custom, non-standard license. The package is actively maintained, has no known vulnerabilities, and provides pre-built wheels for common platforms, making installation straightforward. The main friction point is the ambiguous license terms for commercial use\u2014verify with the authors if you plan to redistribute or embed the package in proprietary software."},"id":"viennarna","links":{"html":"https://skillfed.io/packages/viennarna","md":"https://skillfed.io/packages/viennarna.md","pypi":"https://pypi.org/project/viennarna/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2025-12-30","license_spdx":null,"license_treatment":"unclear","name":"ViennaRNA","python_support":"supports_current","summary":"A library for the prediction and comparison of RNA secondary structures."},"popularity":{"monthly_downloads":109273,"position":12523,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"2.7.2"}