We introduce an R-based computational pipeline meticulously designed for the efficient analysis of BCR repertoire sequencing data. The pipeline is grounded in fastBCR, a heuristic algorithm tailored for prompt clonal family inference. Its capabilities are further enriched through the integration of a comprehensive suite of essential modules. These modules encompass V/J gene usage statistics, distribution of conserved motifs, construction of phylogenetic trees, analysis of affinity maturation, diversity assessment, and the capability to query neutralizing antibodies (NAbs). Moreover, we offer methodologies for scrutinizing variations in clonal family compositions across diverse groups. This comprehensive pipeline advances the computational analyses of BCR repertoire, offering a convenient and effective approach for the systematic investigation and understanding of the B cell immune response. fastBCR is continuously updated and maintained on GitHub (https://github.com/ZhangLabTJU/fastBCR).