Package: gpxviewer-hg
Version: 112rev1178f55492bd-0
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1639
Depends: python3-pyqt5, python3-qcustomplot2, python3-lxml
Conflicts: gpxviewer-stable
Filename: ./all/gpxviewer-hg_112rev1178f55492bd-0_all.deb
Size: 184412
MD5sum: 6f7e920f20ef0ab8031d8f0d18a55870
SHA1: f8acfb5b1e83559abf49ebdcae626379ba55aa59
SHA256: c0fc48b392293b321f1c5b7a60da2da63261d458a8a282d4016c80ff15e8f73f
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: 2.2-1
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1639
Depends: python3-pyqt5, python3-qcustomplot2, python3-lxml
Filename: ./all/gpxviewer-stable_2.2-1_all.deb
Size: 183904
MD5sum: e6ff3fe02e3bdb1870d11bb58e08fa6e
SHA1: c5244dd758574080eafe51c22bc87a47e7ca54b4
SHA256: 34519c4cb4cd9ec1db67ff6b933e3624b2da5e8333d116e28f2a3ab2a705d9d8
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: 2.0.1-1
Architecture: amd64
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 3137
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-qcustomplot2_2.0.1-1_amd64.deb
Size: 659306
MD5sum: 75a859e757aa73fb122657187a364ee1
SHA1: 0af4623a07e20b0e88e2480dd0a27d0b37fd6a90
SHA256: 28d934c81c8cf0dd886eedd45ad4ba3aacd8bd10da1c2c5052d81ac547cb8b63
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.