Package: gpxviewer-hg Version: 124reve4a6f67beaaf-0 Architecture: all Maintainer: Sergey Salnikov Installed-Size: 1628 Depends: python3-pyqt5, python3-qcustomplot2, python3-lxml Conflicts: gpxviewer-stable Filename: ./all/gpxviewer-hg_124reve4a6f67beaaf-0_all.deb Size: 179336 MD5sum: 56b9f302cd6cfea9bdd40e171e027d4f SHA1: d8b8e8ec86e838b0a2541df451012ba64936f633 SHA256: 85a9834401f9adb0c35be187cdcdd217484a8cd20d6f62ab18bd6d3573dc3b61 Section: unknown Priority: optional Description: GPX Viewer GPX Viewer is an application for viewing GPX files as a list of points. It also allows one to draw a configurable track profile. Package: gpxviewer-stable Version: 2.3-1 Architecture: all Maintainer: Sergey Salnikov Installed-Size: 1627 Depends: python3-pyqt5, python3-qcustomplot2, python3-lxml Filename: ./all/gpxviewer-stable_2.3-1_all.deb Size: 178908 MD5sum: 3d79859d1de46059bb2ad9129c9f099a SHA1: 22db1c35b9d0c2847d2e096b38ed143a9cf0c19a SHA256: e1c8d787f8449a87ae8b5dc5520d2a6105c885c77bfb773932662b0a22e99e75 Section: unknown Priority: optional Description: GPX Viewer GPX Viewer is an application for viewing GPX files as a list of points. It also allows one to draw a configurable track profile. Package: python3-qcustomplot2 Source: python-qcustomplot2 Version: 2.1.0-1 Architecture: amd64 Maintainer: Sergey Salnikov Installed-Size: 3737 Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.11.0~rc1), libqt5gui5 (>= 5.3.0), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5), python3-pyqt5 Filename: ./amd64/python3-qcustomplot2_2.1.0-1_amd64.deb Size: 766352 MD5sum: 4fc6f7af7a4f5531e5b2e019abdd719f SHA1: 20f9f16158854681140e92168e752e7f2cef4a97 SHA256: 67e6c93133ebce809a85e9a93a0a7fe948f4cc3fc1606acdf12524081e3f89fd Section: unknown Priority: optional Description: QCustomPlot QCustomPlot is a Qt C++ widget for plotting and data visualization. It has no further dependencies and is well documented. This plotting library focuses on making good looking, publication quality 2D plots, graphs and charts, as well as offering high performance for realtime visualization applications. Have a look at the Setting Up and the Basic Plotting tutorials to get started.