Skip to main content

Framework for building interactive Web applications quickly in plain Python

Project description

# Trame

Trame aims to be a framework for building interactive applications using a web front-end in plain Python. Such applications can be used locally as any desktop application but also be deployed in the cloud or on premise to access big and/or sensitive data.

Trame comes with lots of capabilities built-in by leveraging existing libraries or tools such as Vuetify, Altair, Vega, Deck, VTK, ParaView and more. Trame lets you create interactive data processing applications with rich visualizations without switching languages or technologies.

Trame lets you define your application in a very compact and intuitive way while letting you take over if you know better. Several available layouts let you build your application in no time.

Trame is the perfect companion to VTK or ParaView by offering various rendering and processing configurations. Trame lets you choose between server-side and client-side rendering along with hybrid approaches.

Please explore our gallery of examples for getting started.

Did you know that Trame is a French word with the following set of meanings: - set of thread that are interlaced with each other to form a fabric - the core of something that tigh things together (similar to a plot but more general) - something that guide you by providing the core part of what you are doing

With this Open Source project we aim to help data scientists and researchers to solve their complex problems. And if need be we will be more than happy to team-up with you to help solve your next big idea.

# Contributing See [CONTRIBUTING.md](https://github.com/Kitware/trame/blob/master/CONTRIBUTING.md) for more info on how to contribute.

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

trame-1.4.6.tar.gz (77.6 kB view details)

Uploaded Source

Built Distribution

trame-1.4.6-py3-none-any.whl (82.8 kB view details)

Uploaded Python 3

File details

Details for the file trame-1.4.6.tar.gz.

File metadata

  • Download URL: trame-1.4.6.tar.gz
  • Upload date:
  • Size: 77.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for trame-1.4.6.tar.gz
Algorithm Hash digest
SHA256 ce5d7c12cd1abae68d2d6bbd1fa47115b13a5f84de3b4c64cac2f7ebf6da9d30
MD5 c268c3e7cf2ab21cfc178fa44eef0ea9
BLAKE2b-256 e0edd7f4410d040e1686b2981e5ac3523e0681027afb494dec8e01be4acb24a8

See more details on using hashes here.

File details

Details for the file trame-1.4.6-py3-none-any.whl.

File metadata

  • Download URL: trame-1.4.6-py3-none-any.whl
  • Upload date:
  • Size: 82.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.6.0 importlib_metadata/4.8.2 pkginfo/1.7.1 requests/2.26.0 requests-toolbelt/0.9.1 tqdm/4.62.3 CPython/3.7.12

File hashes

Hashes for trame-1.4.6-py3-none-any.whl
Algorithm Hash digest
SHA256 fe556344ca982b1de815a3853266af6df6a561d2d7a55a1e9aa07d1d8fd9951f
MD5 a4476c0eb3dd1b10b6d075d59fa6dfcd
BLAKE2b-256 eaaee033f553baea22793372f8f8966e6b1acdb6c58af074ca38e8472c5644de

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