Skip to main content

A Jdaviz-based light curve analysis and visualization tool

Project description

lcviz logo GitHub Actions CI Status https://codecov.io/gh/spacetelescope/lcviz/branch/main/graph/badge.svg Documentation Status Powered by Astropy Badge Powered by jdaviz Badge Powered by lightkurve Badge

Early Development Software Warning

LCviz is still very early on in development and is not currently recommended for use.

License

See LICENSE.rst for more information.

Contributing

We love contributions! lcviz is open source, built on open source, and we’d love to have you hang out in our community.

Imposter syndrome disclaimer: We want your help. No, really.

There may be a little voice inside your head that is telling you that you’re not ready to be an open source contributor; that your skills aren’t nearly good enough to contribute. What could you possibly offer a project like this one?

We assure you - the little voice in your head is wrong. If you can write code at all, you can contribute code to open source. Contributing to open source projects is a fantastic way to advance one’s coding skills. Writing perfect code isn’t the measure of a good developer (that would disqualify all of us!); it’s trying to create something, making mistakes, and learning from those mistakes. That’s how we all improve, and we are happy to help others learn.

Being an open source contributor doesn’t just mean writing code, either. You can help out by writing documentation, tests, or even giving feedback about the project (and yes - that includes giving feedback about the contribution process). Some of these contributions may be the most valuable to the project as a whole, because you’re coming to the project with fresh eyes, so you can see the errors and assumptions that seasoned contributors have glossed over.

Note: This disclaimer was originally written by Adrienne Lowe for a PyCon talk, and was adapted by lcviz based on its use in the README file for the MetPy project.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lcviz-0.4.2.tar.gz (91.3 kB view details)

Uploaded Source

Built Distribution

lcviz-0.4.2-py3-none-any.whl (82.2 kB view details)

Uploaded Python 3

File details

Details for the file lcviz-0.4.2.tar.gz.

File metadata

  • Download URL: lcviz-0.4.2.tar.gz
  • Upload date:
  • Size: 91.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for lcviz-0.4.2.tar.gz
Algorithm Hash digest
SHA256 eb24c8998db0dfdbf3106821c090d1904d4eb093055ddae4811e7d7350e35407
MD5 0ee5132c646aca3ba8e186f38ec33d57
BLAKE2b-256 cd9d83ed35b419bf76f3df49ad37a3a2cbb140217e5f8cf1bcd3d6fef1276175

See more details on using hashes here.

File details

Details for the file lcviz-0.4.2-py3-none-any.whl.

File metadata

  • Download URL: lcviz-0.4.2-py3-none-any.whl
  • Upload date:
  • Size: 82.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for lcviz-0.4.2-py3-none-any.whl
Algorithm Hash digest
SHA256 be05b2280b013889f3d506986d6de4bebf7c8c31704078f9cc9fe0dec74ee476
MD5 f691c61743e1af4f1ece5c4aa3945c68
BLAKE2b-256 dd65b579e976eb74f1f98386187fc2f4c85a2e0157a94251c8829722cbb6fa73

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page