Package: gpxviewer-hg Version: 136rev6eb0d96d9a53-0 Architecture: all Maintainer: Sergey Salnikov Installed-Size: 1674 Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml Conflicts: gpxviewer-stable Filename: all/gpxviewer-hg_136rev6eb0d96d9a53-0_all.deb Size: 202938 MD5sum: 412805aef96eff73ea0c90569ad357cf SHA1: 69c8a4436bb542a4aa5e69d72b5a1c286a2812cb SHA256: 9ccd38426824d4fd4db28ebe2bbe2abed08123cc7bf8ac40fb1f6dd0e1972b38 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: 2.4.1-1 Architecture: all Maintainer: Sergey Salnikov Installed-Size: 1673 Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml Filename: all/gpxviewer-stable_2.4.1-1_all.deb Size: 202392 MD5sum: cce68bb39b6713e775ba84c467733ee6 SHA1: c57b34b5cc8e7aa3bf745bf56c8fb6f15b60791b SHA256: f080f666ab0872f44fa7f60e2c291ab4ad425f2e7ee4fb3c85a86f3d5311b22c 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-qcustomplot-pyqt5 Source: python-qcustomplot-pyqt Version: 2.1.1.2-1 Architecture: amd64 Maintainer: Sergey Salnikov Installed-Size: 2823 Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libqt5core5a (>= 5.15.1), libqt5gui5 (>= 5.3.0) | libqt5gui5-gles (>= 5.3.0), libqt5printsupport5 (>= 5.0.2), libqt5widgets5 (>= 5.0.2), libstdc++6 (>= 5), python3-pyqt5 Filename: amd64/python3-qcustomplot-pyqt5_2.1.1.2-1_amd64.deb Size: 673804 MD5sum: aee974bb4f861d57e2c2b87099ee0e2b SHA1: 02a9b3b786c6cf312fa0c6f95606b74fd5bc73a8 SHA256: 9f72253c7cf87944034be93d01193c187f48419774b6a9585850bb7c17895de4 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.