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-0.4.1.tar.gz (91.0 kB view details)

Uploaded Source

Built Distribution

lcviz-0.4.1-py3-none-any.whl (81.8 kB view details)

Uploaded Python 3

File details

Details for the file lcviz-0.4.1.tar.gz.

File metadata

  • Download URL: lcviz-0.4.1.tar.gz
  • Upload date:
  • Size: 91.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for lcviz-0.4.1.tar.gz
Algorithm Hash digest
SHA256 b9ccb8af9a7cf70f8b693f759ab8b6e221c13eb1e79e5cf25e2ef0bea20d7229
MD5 38d0069f9c54ca26c76dca0bff1f757d
BLAKE2b-256 c6d757d1beb9bf3cb7ddf4601f22e4d143fc39a8f45c2a38544a053e0b4ae62a

See more details on using hashes here.

File details

Details for the file lcviz-0.4.1-py3-none-any.whl.

File metadata

  • Download URL: lcviz-0.4.1-py3-none-any.whl
  • Upload date:
  • Size: 81.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for lcviz-0.4.1-py3-none-any.whl
Algorithm Hash digest
SHA256 92d9243212fce94e2ee2e9a9f645c2129505429b2d090d8c2e46d58fb2ed0a18
MD5 2409355ff26393cbe86d4d7d7d60c08c
BLAKE2b-256 297eb57b605575516e4baeb63191690d9840e0e734a7f484320b274ca3625628

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