Skip to main content

Here we provide codes that aid study in analysing malayalam meters.

Project description

                    KAVYANARTHAKI

// -------------------------------------------------------- //

The unique rhythmic structure of verse/poems in Malayalam are referred to as Malayalam meter or Vrutham. It is also referred to as Bhasha Vruthams, Maathra Vruthams, and Dravida Vrithams (the last two are only approximate references). Sanskrit meters have also been used in Malayalam language, but of late, they have not been very popular (When Sanskrit meters are used in Malayalam, they undergo a change, succumbing to the flexibility of Malayalam tradition). Also, meter-free poems (Muktha-Chandass) have gained an upperhand in current times. A padyam(verse) or kavitha(poem) can be ‘read’, ‘recited’ or ‘sung’. In each of these performances, a poem may exhibit specific rhythmic patterns. Poetic meter is intimately related to such rhythmic patterns. In Malayalam, the rhythmic pattern that manifests in the ‘recital’ or ‘singing’ of the poem, is reckoned as its meter (“Vritham”). Maveli, Tharangini, Nathonnatha, Annanada, Kakali, Keka, Omanakuttan etc are some of the famous Malayalam meters. To analyse meters of Malayalam poems, we need some basic computational analysis of verses. Kavyanarthaki package caters to some of such requirements and is an ongoing project at the University of Kerala India.

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

kavyanarthaki-0.4.5.tar.gz (15.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

kavyanarthaki-0.4.5-py3-none-any.whl (14.9 kB view details)

Uploaded Python 3

File details

Details for the file kavyanarthaki-0.4.5.tar.gz.

File metadata

  • Download URL: kavyanarthaki-0.4.5.tar.gz
  • Upload date:
  • Size: 15.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for kavyanarthaki-0.4.5.tar.gz
Algorithm Hash digest
SHA256 09f39ace95f09f51196af49ab6532bfb257da9989365d1b39175ec8cb6e71ed6
MD5 ffb6397eeccaa14e2328c15a776ce753
BLAKE2b-256 a7c7d38001dab6fef3a918258d6516cd5052472230bc8ce6ac909f3f9cdd546a

See more details on using hashes here.

File details

Details for the file kavyanarthaki-0.4.5-py3-none-any.whl.

File metadata

  • Download URL: kavyanarthaki-0.4.5-py3-none-any.whl
  • Upload date:
  • Size: 14.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.8.10

File hashes

Hashes for kavyanarthaki-0.4.5-py3-none-any.whl
Algorithm Hash digest
SHA256 b780ae73aa6d577f1dcf515b6fed71662fe581dad1ad7d6d7b924fd1b5231263
MD5 55936cce2ddfd826505a5bc23d5f57c8
BLAKE2b-256 92397b9e0ad78ec6b53df3e2b839d8dbdcb437d2d6222fc5544ffdd9de4a0c7c

See more details on using hashes here.

Supported by

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