The PlotUtils.jl package is licensed under the MIT "Expat" License:
Copyright (c) 2016: Thomas Breloff*.
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Some color gradients are released under individual licenses. The licenses for each of these follow below:
The matplotlib gradients were taken from https://github.com/BIDS/colormap/blob/master/colormaps.py Here is the licensing note which accompanied this:
New Plots colormaps by Nathaniel J. Smith, Stefan van der Walt, and (in the case of viridis) Eric Firing. This file and the colormaps in it are released under the CC0 license / public domain dedication. We would appreciate credit if you use or redistribute these colormaps, but do not impose any legal restrictions. To the extent possible under law, the persons who associated CC0 with mpl-colormaps have waived all copyright and related or neighboring rights to mpl-colormaps. You should have received a copy of the CC0 legalcode along with this work. If not, see <http://creativecommons.org/publicdomain/zero/1.0/>.
The MIT License (MIT) Copyright (c) 2015 Kristen M. Thyng RGB values were taken from https://github.com/matplotlib/cmocean/tree/master/cmocean/rgb
Apache-Style Software License for ColorBrewer software and ColorBrewer Color Schemes
Copyright (c) 2002 Cynthia Brewer, Mark Harrower, and The Pennsylvania State University.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
This text from my earlier Apache License Version 1.1 also remains in place for guidance on attribution and permissions: Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
- Redistributions as source code must retain the above copyright notice, this list of conditions and the following disclaimer.
- The end-user documentation included with the redistribution, if any, must include the following acknowledgment: "This product includes color specifications and designs developed by Cynthia Brewer (http://colorbrewer.org/)." Alternately, this acknowledgment may appear in the software itself, if and wherever such third-party acknowledgments normally appear.
- The name "ColorBrewer" must not be used to endorse or promote products derived from this software without prior written permission. For written permission, please contact Cynthia Brewer at firstname.lastname@example.org.
- Products derived from this software may not be called "ColorBrewer", nor may "ColorBrewer" appear in their name, without prior written permission of Cynthia Brewer.
RGB values were taken from http://www.colorbrewer2.org
The MIT License (MIT) Copyright (c) 2015 Peter Kovesi These are the perceptually correct color maps designed by Peter Kovesi and described in Peter Kovesi. Good Colour Maps: How to Design Them. arXiv:1509.03700 [cs.GR] 2015
The file "ticks.jl" was moved from Gadfly.jl, and the original author is Daniel Jones (@dcjones)