{"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 ship a new release since T, and is it a breaking (major) version?","sample":[{"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":"2026-07-14T22:21:02.172Z","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":"2026-07-14T22:21:00.654Z","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"}},{"source":"conda","entityId":"pkg:polars","type":"new_release","title":"polars 1.42.1","summary":"Polars is a DataFrame interface on top of an OLAP Query Engine implemented in Rust using Apache Arrow Columnar Format as the memory model.","significance":4,"detectedAt":"2026-07-14T22:20:56.663Z","effectiveDate":"2026-06-30T11:13:21.312Z","sourceUrl":"https://anaconda.org/conda-forge/polars","detail":{"package":"polars","ecosystem":"conda-forge (Python/data-science)","version":"1.42.1","previousVersion":null,"versionJump":"other"}},{"source":"conda","entityId":"pkg:dask","type":"new_release","title":"dask 2026.7.1","summary":"Dask is a flexible parallel computing library for analytics.","significance":4,"detectedAt":"2026-07-14T22:20:52.771Z","effectiveDate":"2026-07-14T19:10:02.983Z","sourceUrl":"https://anaconda.org/conda-forge/dask","detail":{"package":"dask","ecosystem":"conda-forge (Python/data-science)","version":"2026.7.1","previousVersion":null,"versionJump":"other"}},{"source":"conda","entityId":"pkg:xarray","type":"new_release","title":"xarray 2026.7.0","summary":"xarray published 2026.7.0 on conda-forge (Python/data-science).","significance":4,"detectedAt":"2026-07-14T22:20:51.555Z","effectiveDate":"2026-07-09T21:46:38.762Z","sourceUrl":"https://anaconda.org/conda-forge/xarray","detail":{"package":"xarray","ecosystem":"conda-forge (Python/data-science)","version":"2026.7.0","previousVersion":null,"versionJump":"other"}}]}