Adding ultraplot to conda-forge: a succint mpl wrapper

recipes/ultraplot/LICENSE.txt

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+Copyright (c) 2018 The Python Packaging Authority
+
+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.
+

recipes/ultraplot/meta.yaml

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+package:
+  name: ultraplot
+  version: "0.99.3"
+
+source:
+  url: https://pypi.io/packages/source/u/ultraplot/ultraplot-0.99.3.tar.gz
+  sha256: 51ebff676b110b7a2018db0202b625557afceea66e61fa0a09fd41b48cd24c20
+
+build:
+  number: 0
+  noarch: python
+  script: python -m pip install . --no-deps -vv
+
+requirements:
+  host:
+    - python >=3.9
+    - pip
+    - setuptools
+  run:
+    - importlib-metadata
+    - python >=3.9
+    - matplotlib-base
+
+test:
+  imports:
+    - ultraplot
+  commands:
+    - pip check
+  requires:
+    - pip
+
+about:
+  home: https://github.com/ultraplot/ultraplot
+  license: CC-BY-SA-4.0
+  license_family: CC
+  license_file: LICENSE.txt
+  summary: Elegant and flexible high-level plotting with matplotlib
+  description: |
+    Ultraplot is a Python library that provides a high-level interface for creating
+    publication-quality plots using matplotlib. It focuses on making common plotting
+    tasks simple while maintaining full flexibility for customization.
+  dev_url: https://github.com/ultraplot/ultraplot/issues
+
+extra:
+  recipe-maintainers:
+    - cvanelteren