Package: gpxviewer-hg
Version: 136rev6eb0d96d9a53-0
Architecture: all
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 1680
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Conflicts: gpxviewer-stable
Filename: ./all/gpxviewer-hg_136rev6eb0d96d9a53-0_all.deb
Size: 201888
MD5sum: 1c78a907a1150993d937257e29c82397
SHA1: 3daed856b23d65b2c1f0c21e312a8a523a9b215a
SHA256: 0f18d5f69b56bd2af6286ac10d4376f77a577259ebe7ac245f061f15fd411010
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: 1679
Depends: python3-pyqt5, python3-qcustomplot-pyqt5, python3-lxml
Filename: ./all/gpxviewer-stable_2.4.1-1_all.deb
Size: 201418
MD5sum: 9026cd6b81a1bf748cf7d6c110563a09
SHA1: e913b240dbf8c2d6e8a375bb366be9cf980b78a1
SHA256: 9a0ca30a4b7bfca01edd25200d6b7b467242f2f83ae061acab29dba3e7c4e2e3
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: 2.1.1.1-1
Architecture: amd64
Maintainer: Sergey Salnikov <salsergey@gmail.com>
Installed-Size: 2819
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_2.1.1.1-1_amd64.deb
Size: 672946
MD5sum: 1ebb6574eb5e2de0bd823c4055b10bfe
SHA1: ba96453934fefdee21727069f231dd5a33ecdce1
SHA256: 169fa3d0ba5ed81e0cb94fe0305e3c889a99b405183986c880a4fc146454e40c
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.