{"source":"conda","note":"Free 5-item preview. The full feed is $0.05/call at GET /v1/conda/changes.","question":"Did a tracked conda-forge package (e.g. numpy, pandas, scipy) ship a new release since T, and is it a breaking (major) version for my environment.yml?","sample":[{"source":"conda","entityId":"pkg:numba","type":"new_release","title":"numba 0.66.0","summary":"Numba is an Open Source NumPy-aware optimizing compiler for Python sponsored by Anaconda, Inc. It uses the remarkable LLVM compiler infrastructure to compile Python syntax to machine code.\"","significance":5,"detectedAt":"2026-07-16T18:49:52.513Z","effectiveDate":"2026-07-16T15:22:37.779Z","sourceUrl":"https://anaconda.org/conda-forge/numba","detail":{"package":"numba","ecosystem":"conda-forge (Python/data-science)","version":"0.66.0","previousVersion":"0.65.1","versionJump":"minor"}},{"source":"conda","entityId":"pkg:transformers","type":"new_release","title":"transformers 5.14.1","summary":"transformers published 5.14.1 on conda-forge (Python/data-science) (was 5.14.0).","significance":3,"detectedAt":"2026-07-16T18:49:48.999Z","effectiveDate":"2026-07-16T16:57:17.780Z","sourceUrl":"https://anaconda.org/conda-forge/transformers","detail":{"package":"transformers","ecosystem":"conda-forge (Python/data-science)","version":"5.14.1","previousVersion":"5.14.0","versionJump":"patch"}},{"source":"conda","entityId":"pkg:transformers","type":"new_release","title":"transformers 5.14.0","summary":"transformers published 5.14.0 on conda-forge (Python/data-science) (was 5.13.1).","significance":5,"detectedAt":"2026-07-16T05:22:02.385Z","effectiveDate":"2026-07-16T03:15:12.931Z","sourceUrl":"https://anaconda.org/conda-forge/transformers","detail":{"package":"transformers","ecosystem":"conda-forge (Python/data-science)","version":"5.14.0","previousVersion":"5.13.1","versionJump":"minor"}},{"source":"conda","entityId":"pkg:transformers","type":"new_release","title":"transformers 5.13.1","summary":"transformers published 5.13.1 on conda-forge (Python/data-science).","significance":4,"detectedAt":"2026-07-15T20:16:47.688Z","effectiveDate":"2026-07-11T14:36:40.728Z","sourceUrl":"https://anaconda.org/conda-forge/transformers","detail":{"package":"transformers","ecosystem":"conda-forge (Python/data-science)","version":"5.13.1","previousVersion":null,"versionJump":"other"}},{"source":"conda","entityId":"pkg:pytorch","type":"new_release","title":"pytorch 2.12.1","summary":"PyTorch is a Python package that provides two high-level features: - Tensor computation (like NumPy) with strong GPU acceleration - Deep neural networks built on a tape-based autograd system You can reuse your favorite Python packages such as NumPy, SciPy, and Cython to extend PyTorch when needed.","significance":4,"detectedAt":"2026-07-15T20:16:45.297Z","effectiveDate":"2026-06-19T07:50:12.412Z","sourceUrl":"https://anaconda.org/conda-forge/pytorch","detail":{"package":"pytorch","ecosystem":"conda-forge (Python/data-science)","version":"2.12.1","previousVersion":null,"versionJump":"other"}}]}