Package: gpxviewer-hg Version: 136rev6eb0d96d9a53-0 Architecture: all Maintainer: Sergey Salnikov Installed-Size: 1680 Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml Conflicts: gpxviewer-stable Filename: all/gpxviewer-hg_136rev6eb0d96d9a53-0_all.deb Size: 186308 MD5sum: 784f7b3fd0181f20320afcf593c10d03 SHA1: 3035a33629d6713c2676cf5485af9f295249204d SHA256: 4ec1a91b21ff3a478a1ad35d6c0a2e2b469673ee4762208e86822234ccef2213 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: 1679 Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml Filename: all/gpxviewer-stable_2.4.1-1_all.deb Size: 185528 MD5sum: a0b1c1404bb66552f12fbc0eb83e06d6 SHA1: f9772cb75219947e0d0204f4a4ab1a64de9aaca0 SHA256: efbcd6a4a2db15e422fc3869b26124d09be75cd1d940e181ad8cb0aa98b59d9b 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: 3731 Depends: libc6 (>= 2.29), libgcc-s1 (>= 3.0), libqt5core5a (>= 5.12.2), 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: 757508 MD5sum: a71d43f19abd85faed5b5bac5dbbc5f5 SHA1: 338c51afcf5aa09cf63ad6ca67c58d13da4ac9aa SHA256: 3e45c07bb6b031845f10acfc8074a082d3f376204cd18a35fcc8cf8b1a19865c 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.