Package: gpxviewer-hg
Version: 136rev6eb0d96d9a53-0
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1684
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Conflicts: gpxviewer-stable
Filename: all/gpxviewer-hg_136rev6eb0d96d9a53-0_all.deb
Size: 185016
MD5sum: 161fedb7d11dafda22f7cdba0770807c
SHA1: e826e656a1cc06b672629e46c8a260a7ca02757e
SHA256: ab56bfb857c2d7d922e7bc677a647d427728dd927a42eee324dd5215b72cb490
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 <salsergey@gmail.com>
Installed-Size: 1683
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Filename: all/gpxviewer-stable_2.4.1-1_all.deb
Size: 184472
MD5sum: d4bdba39a3a7eec3cb0c02cdf500af16
SHA1: d5e18bc92b02763b3033f065dfe27f8a66af376d
SHA256: db5b4e3f4ba9dbdb5b377473a60344ffe700f06bd72eeca6be9ae1cb03bdc25a
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 <salsergey@gmail.com>
Installed-Size: 3591
Depends: libc6 (>= 2.14), libgcc1 (>= 1:3.0), libqt5core5a (>= 5.9.0~beta), libqt5gui5 (>= 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: 722704
MD5sum: 874b520174e180501c45c46744bfcc24
SHA1: 79088ae07c6e0fdeecfddea97c84ad6d4cdde965
SHA256: c825208cce9dd4eb02da9686fc03648245c1695a155b7dd4d010c505ce3eb37a
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.