{"url":"/dataset/dypybench-docker","name":"DyPyBench Docker","full_name":null,"description_markdown":"The first benchmark of Python projects that is large-scale, diverse, ready-to-run (i.e., with fully configured and prepared test suites), and ready-to-analyze (i.e., using an integrated Python dynamic analysis framework). The benchmark encompasses 50 popular open-source projects from various application domains, with a total of 681K lines of Python code, and 30K test cases.","description_withheld":null,"homepage":"https://hub.docker.com/r/islemdockerdev/dypybench","introduced_date":"2023-11-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/dypybench-a-benchmark-of-executable-python","title":"DyPyBench: A Benchmark of Executable Python Software","first_author":null,"url":null},"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["DyPyBench Docker"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}